RankingEffort benchmarks

GPT-5.5 effort benchmarks

Compare measured Low, Medium, High and other settings. Every number keeps its source.

Model

GPT-5.5

159 measured results · 6 reported effort labels · 74 benchmark/harness combinations. Model evidence and sources →

Capability score evidence

GPT-5.5 · XHigh: 54.9 overall comparison score. Meets the overall evidence requirements.

Which sources carry the weight?

Moonshot AI · 23.2% direct comparison weight · provider report
Vals AI · 8.2% direct comparison weight · independent
Terminal-Bench · 8.2% direct comparison weight · independent
Cognition · 8.2% direct comparison weight · independent
LiveBench · 8.2% direct comparison weight · independent
ARC Prize · 8.0% direct comparison weight · independent
Artificial Analysis · 7.9% direct comparison weight · independent
Scale · 7.7% direct comparison weight · independent
SWE-rebench · 7.7% direct comparison weight · independent
Epoch AI · 6.7% direct comparison weight · independent
Datacurve · 6.1% direct comparison weight · independent

These shares describe the comparisons entering the fit, not fractions of the final score.

How sensitive is this score?

Remove one evaluator or family and refit the graph against the same overall panel. Values use the matching dataset audited 2026-09-12. These are sensitivity checks, not confidence intervals; ranking eligibility may also change.

Removed evidence	Recomputed score	Change
Artificial Analysis	55.5	+0.7
ARC Prize	56.5	+1.6
Datacurve	50.8	-4.1
LiveCodeBench	54.9	-0.0
Scale	56.8	+1.9
Terminal-Bench	53.9	-1.0
Cognition	55.9	+1.0
LiveBench	55.5	+0.6
SWE-rebench	53.1	-1.8
Epoch AI	55.6	+0.8
Vals AI	55.5	+0.6
Provider reports · Anthropic	54.8	-0.0
Provider reports · Moonshot AI	61.0	+6.2
Provider reports · Meta	54.8	-0.0
Provider reports · Mistral	54.9	+0.0
All provider reports	61.0	+6.1

Every benchmark family

Removed evidence	Recomputed score	Change
deepswe	50.3	-4.6
swe-rebench	53.1	-1.8
arc-agi	56.4	+1.5
frontiercode	55.9	+1.0
gpqa	54.0	-0.9
hle	55.7	+0.8
swe-atlas-test-writing	55.6	+0.8
terminal-bench	54.2	-0.7
simpleqa	55.5	+0.6
mmmu-pro	55.5	+0.6
mmlu-pro	55.4	+0.6
swe-atlas-refactoring	54.4	-0.5
swe-atlas-qna	54.4	-0.5
frontiermath	54.4	-0.5
livebench-instructions	55.3	+0.4
livebench-coding	54.5	-0.4
vals-code-migration	54.6	-0.3
vals-legal-research	54.6	-0.2
vals-excel-modeling	54.6	-0.2
swe-bench-pro	54.7	-0.2
livebench-math	55.0	+0.2
arc-agi-3	54.7	-0.1
vals-finance-agent	55.0	+0.1
livebench-reasoning	54.7	-0.1
automationbench	55.0	+0.1
harvey	55.0	+0.1
tau-bench	54.8	-0.1
omniscience	54.9	+0.1
ifbench	54.8	-0.1
itbench	54.8	-0.1
enigma-eval	54.9	+0.1
analyst-agent	54.8	-0.1
vibe-code	54.8	-0.1
gdp-pdf	54.9	+0.1
scicode	54.9	+0.1
aime	54.8	-0.0
livebench-data	54.8	-0.0
epoch-game-puzzles	54.8	-0.0
critpt	54.9	+0.0
briefcase	54.9	+0.0
apex-agents	54.8	-0.0
gdpval	54.9	+0.0
gmmlu	54.9	+0.0
multi-swe-bench	54.9	-0.0
livebench-language	54.9	-0.0
math500	54.9	+0.0
enterprise-ops	54.9	-0.0
livecodebench	54.9	+0.0
aa-lcr	54.9	-0.0

What evidence is missing from the fit?

Across all collected settings for this model: 307 observations, 167 contributing, 0 matched without graph weight and 140 excluded. Counts do not establish rank eligibility.

5 · Benchmark family or source protocol has not been reviewed
1 · Fewer than two distinct model identities remain in this evaluation
81 · Supporting evidence outside the reviewed capability core
3 · Kimi K3 Evaluation Details cites Artificial Analysis; retain as published context, not a new Moonshot comparison.
1 · Kimi K3 Evaluation Details cites GLM release blog, Artificial Analysis or OpenAI, per model; retain as published context, not a new Moonshot comparison.
1 · Kimi K3 Evaluation Details cites Anthropic or OpenAI release reports; retain as published context, not a new Moonshot comparison.
1 · Kimi K3 Evaluation Details cites Artificial Analysis / APEX-Agents leaderboard; retain as published context, not a new Moonshot comparison.
46 · No reviewed effort for this catalog observation; any separately collected effort measurement is counted separately
1 · MiniMax cites this comparator from the official Terminal-Bench leaderboard; a common protocol with its internal Terminus 2 run is not established. See MiniMax M3 benchmark figure, Terminal-bench 2.1 methodology.

Inspect every observation and exclusion →

Capability profile

One configuration, seven capabilities

Comparison score · 0–100

AGPT-5.5 · XHigh5 of 7 capabilities supported

Gaps are unknown, not zero. Hollow points are preliminary.

Agentic
A56.2Supported
Hard reasoning
A57.6Supported
Coding
A64.2Supported
Human pref
Unknown
Knowledge
A52.6Supported
Multimodal
A35.9Supported
Long context
A61.7Preliminary

Each profile belongs to the named configuration. Capability scores use a shared panel for all axes, distinct from the overall ranking panel; they are not accuracy percentages or direct head-to-head wins.

Compare this configuration →Explore the model evidence profile →

These are published benchmark scores. Supported effort estimates also appear on the Capability leaderboard. Results from different harnesses occupy different rows. Missing cells stay unknown; no scores are copied between effort levels.

Benchmark / source	Low	Medium	High	XHigh	None	Non-reasoning
AA-AnalystAgentArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Share of tasks solved on all 5 of 5 attempts · 80 tasks, 5 attempts per task · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	50% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	7.5% Reported settings GPT-5.5 (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-5-non-reasoning
AA-Briefcase EloArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details AA-Briefcase is an agentic knowledge work benchmark developed by Artificial Analysis. AA-Briefcase Elo is a combined metric that aggregates rubric pass rate, analytical quality Elo and presentation Elo · Higher is better · Evaluation results measured independently by Artificial Analysis Unit: elo. Source collected 2026-09-12.	Not reported	1,000 Elo Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	1,088.84 Elo Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	1,135.79 Elo Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	Not reported
APEX-Agents-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	37.68% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	Not reported
AA-LCR v1.1Artificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	81% Reported settings GPT-5.5 (low); Model source: https://artificialanalysis.ai/models/gpt-5-5-low	83% Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	84.33% Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	84.33% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	64% Reported settings GPT-5.5 (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-5-non-reasoning
AutomationBench-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Share of task objectives completed with no guardrail violations · Higher is better · Benchmark developed by Zapier · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	Not reported	40.07% Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	44.35% Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	47.3% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	Not reported
CritPtArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Benchmark developed by Argonne and UIUC, with contributions from 60+ researchers globally · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	8% Reported settings GPT-5.5 (low); Model source: https://artificialanalysis.ai/models/gpt-5-5-low	18.57% Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	25.43% Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	27.14% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	1.43% Reported settings GPT-5.5 (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-5-non-reasoning
EnterpriseOps-Gym-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Overall task success rate across all eight enterprise domains (oracle tool mode) · Benchmark developed by ServiceNow Research · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	Not reported	44.11% Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	Not reported	46.64% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	Not reported
GDP.pdf: All-passArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Share of attempts where every atomic criterion passed · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	Not reported	20.6% Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	22.6% Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	21.2% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	Not reported
GDPval-AA v2 LeaderboardArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Elo rating for performance on real-world work tasks · Anchored to a human baseline of 1,000 · Higher is better · Evaluation results measured independently by Artificial Analysis Unit: elo. Source collected 2026-09-12.	1,112.71 Elo Reported settings GPT-5.5 (low); Model source: https://artificialanalysis.ai/models/gpt-5-5-low	1,288.18 Elo Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	1,371.51 Elo Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	1,395.85 Elo Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	1,054.41 Elo Reported settings GPT-5.5 (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-5-non-reasoning
GPQA DiamondArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	91.01% Reported settings GPT-5.5 (low); Model source: https://artificialanalysis.ai/models/gpt-5-5-low	92.63% Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	93.23% Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	93.54% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	76.77% Reported settings GPT-5.5 (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-5-non-reasoning
Harvey LAB-AA: Criterion Pass RateArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Share of atomic pass/fail rubric criteria the deliverables satisfy, graded by a single LLM judge · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	86.28% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	Not reported
Humanity's Last ExamArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	32.67% Reported settings GPT-5.5 (low); Model source: https://artificialanalysis.ai/models/gpt-5-5-low	42.35% Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	45.04% Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	45.78% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	13.72% Reported settings GPT-5.5 (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-5-non-reasoning
IFBenchArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	64.35% Reported settings GPT-5.5 (low); Model source: https://artificialanalysis.ai/models/gpt-5-5-low	70.95% Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	71.63% Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	75.85% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	46.12% Reported settings GPT-5.5 (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-5-non-reasoning
ITBench-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Combined public and private Site Reliability Engineering (SRE) tasks · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	45.81% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	Not reported
MLCR-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Share of tasks judged accurate, complete, and concise · Expert + compound (hard) sets · Benchmark developed by Wisedocs · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	11.11% Reported settings GPT-5.5 (low); Model source: https://artificialanalysis.ai/models/gpt-5-5-low	Not reported	Not reported	17.78% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	15% Reported settings GPT-5.5 (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-5-non-reasoning
MMMU-ProArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	79.02% Reported settings GPT-5.5 (low); Model source: https://artificialanalysis.ai/models/gpt-5-5-low	81.16% Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	81.1% Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	79.88% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	71.39% Reported settings GPT-5.5 (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-5-non-reasoning
AA-Omniscience IndexArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct. · Evaluation results measured independently by Artificial Analysis Unit: index. Source collected 2026-09-12.	15.1 Reported settings GPT-5.5 (low); Model source: https://artificialanalysis.ai/models/gpt-5-5-low	18.1 Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	18.75 Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	20.52 Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	-4.75 Reported settings GPT-5.5 (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-5-non-reasoning
AA-Omniscience AccuracyArtificial Analysis · 6000 questions; 1 attempt; correct-answer share; GPT-5.6 Luna medium grader Benchmark details AA-Omniscience Accuracy (higher is better) measures the proportion of correctly answered questions out of all questions, regardless of whether the model chooses to answer · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	54.85% Reported settings GPT-5.5 (low); Model source: https://artificialanalysis.ai/models/gpt-5-5-low	56.8% Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	57.03% Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	57.95% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	45.63% Reported settings GPT-5.5 (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-5-non-reasoning
SciCodeArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	Not reported	54.51% Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	56.13% Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	55.79% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	Not reported
𝜏²-Bench TelecomArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	83.92% Reported settings GPT-5.5 (low); Model source: https://artificialanalysis.ai/models/gpt-5-5-low	91.81% Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	92.98% Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	93.86% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	69.3% Reported settings GPT-5.5 (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-5-non-reasoning
𝜏³-BankingArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Benchmark developed by Sierra Research · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	24.95% Reported settings GPT-5.5 (low); Model source: https://artificialanalysis.ai/models/gpt-5-5-low	29.9% Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	36.7% Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	38.97% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	14.85% Reported settings GPT-5.5 (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-5-non-reasoning
Terminal-Bench HardArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	52.27% Reported settings GPT-5.5 (low); Model source: https://artificialanalysis.ai/models/gpt-5-5-low	57.58% Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	59.85% Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	60.61% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	49.24% Reported settings GPT-5.5 (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-5-non-reasoning
Terminal-Bench v2.1Artificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Benchmark developed by the Laude Institute and open-source contributors · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	65.54% Reported settings GPT-5.5 (low); Model source: https://artificialanalysis.ai/models/gpt-5-5-low	80.52% Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	79.4% Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	84.27% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	61.05% Reported settings GPT-5.5 (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-5-non-reasoning
Terminal-Bench v4.0Artificial Analysis · mini-SWE-agent v2.4.6; 66 tasks; pass@1 averaged over 3 repeats; 500 steps; task timeout up to 8 hours Benchmark details Benchmark developed by the Laude Institute, Stanford, and open-source contributors · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12.	Not reported	5.05% Reported settings GPT-5.5 (medium); Model source: https://artificialanalysis.ai/models/gpt-5-5-medium	9.09% Reported settings GPT-5.5 (high); Model source: https://artificialanalysis.ai/models/gpt-5-5-high	14.65% Reported settings GPT-5.5 (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5	Not reported	Not reported
ARC-AGI-2ARC Prize · v2 Semi-Private Benchmark details Original public board. Configuration and task coverage may differ; inspect source. Unit: percent. Source collected 2026-09-12.	33.33% Reported settings GPT-5.5 (Low); Source model ID: gpt-5-5-2026-04-22-thinking-low; 120 tasks	70.42% Reported settings GPT-5.5 (Medium); Source model ID: gpt-5-5-2026-04-22-thinking-medium; 120 tasks	83.33% Reported settings GPT-5.5 (High); Source model ID: gpt-5-5-2026-04-22-thinking-high; 120 tasks	85% Reported settings GPT-5.5 (XHigh); Source model ID: gpt-5-5-2026-04-22-thinking-xhigh; 120 tasks	Not reported	Not reported
DeepSWE v1.1Datacurve · mini-swe-agent Benchmark details Original public board. Configuration and task coverage may differ; inspect source. Unit: percent. Source collected 2026-09-12.	27% Reported settings gpt-5-5; Reported effort: low; 113 unique tasks; 452 attempts; 4 runs	54% Reported settings gpt-5-5; Reported effort: medium; 113 unique tasks; 452 attempts; 4 runs	64.4% Reported settings gpt-5-5; Reported effort: high; 113 unique tasks; 452 attempts; 4 runs	67% Reported settings gpt-5-5; Reported effort: xhigh; 113 unique tasks; 452 attempts; 4 runs	Not reported	Not reported
Terminal-Bench 2.1Terminal-Bench · Codex Benchmark details Original public board. Configuration and task coverage may differ; inspect source. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	83.15% Reported settings GPT-5.5; Reported effort: xhigh; 445 trials; recorded 2026-04-23	Not reported	Not reported
Terminal-Bench 2.1Terminal-Bench · Terminus 2 Benchmark details Original public board. Configuration and task coverage may differ; inspect source. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	77.98% Reported settings GPT-5.5; Reported effort: xhigh; 445 trials; recorded 2026-04-23	Not reported	Not reported
FrontierCode 1.1 · extended-codexCognition · codex Benchmark details FrontierCode 1.1; codex. Open each result for its exact effort, task subset, metric and protocol details. Unit: percent. Source collected 2026-09-12.	45.55% Reported settings FrontierCode 1.1; extended; 150 tasks; codex; source effort low; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0	51.37% Reported settings FrontierCode 1.1; extended; 150 tasks; codex; source effort medium; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0	53.99% Reported settings FrontierCode 1.1; extended; 150 tasks; codex; source effort high; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0.002	56.66% Reported settings FrontierCode 1.1; extended; 150 tasks; codex; source effort xhigh; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0.0027	Not reported	Not reported
FrontierCode 1.1 · main-codexCognition · codex Benchmark details FrontierCode 1.1; codex. Open each result for its exact effort, task subset, metric and protocol details. Unit: percent. Source collected 2026-09-12.	30.55% Reported settings FrontierCode 1.1; main; 100 tasks; codex; source effort low; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0	36.6% Reported settings FrontierCode 1.1; main; 100 tasks; codex; source effort medium; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0	40.56% Reported settings FrontierCode 1.1; main; 100 tasks; codex; source effort high; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0.003	42.96% Reported settings FrontierCode 1.1; main; 100 tasks; codex; source effort xhigh; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0.004	Not reported	Not reported
SWE Atlas · QnA · codexScale · codex Benchmark details 124 code comprehension tasks; strict all-rubrics pass metric; Opus 4.5 judge; source-reported agent harness. Repositories drawn from SWE-bench Pro; distinct tasks. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	45.43% Reported settings 124 code comprehension tasks; strict all-rubrics pass metric; Opus 4.5 judge; source-reported agent harness. Repositories drawn from SWE-bench Pro; distinct tasks.; published row 2026-05-07T15:50:31.000Z; reported margin ±5.08 percentage points; No contamination annotation reported (not proof of absence)	Not reported	Not reported
SWE Atlas · Refactoring · codexScale · codex Benchmark details 70 refactoring tasks across 10 repositories; behavior preservation and task-specific grading; source-reported agent harness. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	44.79% Reported settings 70 refactoring tasks across 10 repositories; behavior preservation and task-specific grading; source-reported agent harness.; published row 2026-05-06T01:44:12.000Z; reported margin ±6.76 percentage points; No contamination annotation reported (not proof of absence)	Not reported	Not reported
SWE Atlas · Test Writing · codexScale · codex Benchmark details 90 test-writing tasks; execution, mutation checks and rubric judging; source-reported agent harness. Repositories drawn from SWE-bench Pro; distinct tasks. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	42.59% Reported settings 90 test-writing tasks; execution, mutation checks and rubric judging; source-reported agent harness. Repositories drawn from SWE-bench Pro; distinct tasks.; published row 2026-05-07T16:02:36.000Z; reported margin ±5.96 percentage points; No contamination annotation reported (not proof of absence)	Not reported	Not reported
LiveBench · AMPS Hard · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	97% Reported settings LiveBench official task evaluation; livebench-2026-06-25-AMPS_Hard; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · code completion · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	82.61% Reported settings LiveBench official task evaluation; livebench-2026-06-25-code_completion; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · code generation · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	81.69% Reported settings LiveBench official task evaluation; livebench-2026-06-25-code_generation; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · connections · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	100% Reported settings LiveBench official task evaluation; livebench-2026-06-25-connections; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · consecutive events · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	88.82% Reported settings LiveBench official task evaluation; livebench-2026-06-25-consecutive_events; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · integrals with game · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	99% Reported settings LiveBench official task evaluation; livebench-2026-06-25-integrals_with_game; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · javascript · 2026-06-25LiveBench · LiveBench Mini-SWE-Agent, 250-step limit Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	63.64% Reported settings LiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-javascript; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · logic with navigation · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	76% Reported settings LiveBench official task evaluation; livebench-2026-06-25-logic_with_navigation; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · math comp · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	96.08% Reported settings LiveBench official task evaluation; livebench-2026-06-25-math_comp; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · olympiad · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	91.35% Reported settings LiveBench official task evaluation; livebench-2026-06-25-olympiad; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · paraphrase · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	71.73% Reported settings LiveBench official task evaluation; livebench-2026-06-25-paraphrase; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · plot unscrambling · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	74.09% Reported settings LiveBench official task evaluation; livebench-2026-06-25-plot_unscrambling; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · python · 2026-06-25LiveBench · LiveBench Mini-SWE-Agent, 250-step limit Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	55% Reported settings LiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-python; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · simplify · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	66.32% Reported settings LiveBench official task evaluation; livebench-2026-06-25-simplify; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · spatial · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	98% Reported settings LiveBench official task evaluation; livebench-2026-06-25-spatial; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · story generation · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	72.55% Reported settings LiveBench official task evaluation; livebench-2026-06-25-story_generation; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · summarize · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	72.32% Reported settings LiveBench official task evaluation; livebench-2026-06-25-summarize; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · tablejoin · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	55.9% Reported settings LiveBench official task evaluation; livebench-2026-06-25-tablejoin; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · tablereformat · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	100% Reported settings LiveBench official task evaluation; livebench-2026-06-25-tablereformat; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · theory of mind · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	84.62% Reported settings LiveBench official task evaluation; livebench-2026-06-25-theory_of_mind; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · typescript · 2026-06-25LiveBench · LiveBench Mini-SWE-Agent, 250-step limit Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	43.33% Reported settings LiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-typescript; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · typos · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	88% Reported settings LiveBench official task evaluation; livebench-2026-06-25-typos; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
LiveBench · zebra puzzle · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	100% Reported settings LiveBench official task evaluation; livebench-2026-06-25-zebra_puzzle; gpt-5.5-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
SWE-rebench · 2026-03 · toolsSWE-rebench · SWE-rebench standardized ReAct tools Benchmark details Average resolved rate across repeated runs, not best-of-N success. Disjoint complete calendar months within each model’s tested range; standardized harness and all-language task set. Unit: percent. Source collected 2026-09-12.	Not reported	60.43% Reported settings SWE-rebench standardized ReAct tools; swe-rebench-2026-03-tools; gpt-5.5-2026-04-23-medium; checkpoint=gpt-5.5	Not reported	63.04% Reported settings SWE-rebench standardized ReAct tools; swe-rebench-2026-03-tools; gpt-5.5-2026-04-23-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
SWE-rebench · 2026-04 · toolsSWE-rebench · SWE-rebench standardized ReAct tools Benchmark details Average resolved rate across repeated runs, not best-of-N success. Disjoint complete calendar months within each model’s tested range; standardized harness and all-language task set. Unit: percent. Source collected 2026-09-12.	Not reported	57.21% Reported settings SWE-rebench standardized ReAct tools; swe-rebench-2026-04-tools; gpt-5.5-2026-04-23-medium; checkpoint=gpt-5.5	Not reported	60.47% Reported settings SWE-rebench standardized ReAct tools; swe-rebench-2026-04-tools; gpt-5.5-2026-04-23-xhigh; checkpoint=gpt-5.5	Not reported	Not reported
Epoch · Chess Puzzles · v1.1.6Epoch AI · Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match Benchmark details Epoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. Unit: percent. Source collected 2026-09-12.	26% Reported settings Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match; model=gpt-5.5_low; run=EnbN27oUrNyfbxuPwtZey2; mean accuracy; https://epoch.ai/data/benchmarks.csv	Not reported	Not reported	Not reported	10% Reported settings Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match; model=gpt-5.5_none; run=XRVSYnR4bhQ8Zb62Un7GrS; mean accuracy; https://epoch.ai/data/benchmarks.csv	Not reported
Epoch · FrontierMath Tier 4 · v2.0.0Epoch AI · Epoch AI Inspect; task 2.0.0; scorer verification_code Benchmark details Epoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. FrontierMath was developed with OpenAI funding and unequal access to part of the question set; this result is from Epoch's evaluation. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	72.5% Reported settings Epoch AI Inspect; task 2.0.0; scorer verification_code; model=gpt-5.5_xhigh; run=PKSMspJiJdNThB6qNvaBSM; mean accuracy; https://epoch.ai/data/benchmarks.csv	Not reported	Not reported
Epoch · FrontierMath Tiers 1–3 · v2.0.0Epoch AI · Epoch AI Inspect; task 2.0.0; scorer verification_code Benchmark details Epoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. FrontierMath was developed with OpenAI funding and unequal access to part of the question set; this result is from Epoch's evaluation. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	85.26% Reported settings Epoch AI Inspect; task 2.0.0; scorer verification_code; model=gpt-5.5_xhigh; run=5FGXKvXQwGPtcCX2PNrLR5; mean accuracy; https://epoch.ai/data/benchmarks.csv	Not reported	Not reported
Epoch · GPQA diamond · v1.0.11Epoch AI · Epoch AI Inspect; task 1.0.11; scorer choice Benchmark details Epoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	Not reported	77.27% Reported settings Epoch AI Inspect; task 1.0.11; scorer choice; model=gpt-5.5_none; run=KesKa5EXtFG7H4UMBFzgCh; mean accuracy; https://epoch.ai/data/benchmarks.csv	Not reported
Epoch · GPQA diamond · v1.0.8Epoch AI · Epoch AI Inspect; task 1.0.8; scorer choice Benchmark details Epoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. Unit: percent. Source collected 2026-09-12.	90.66% Reported settings Epoch AI Inspect; task 1.0.8; scorer choice; model=gpt-5.5_low; run=2CdomqtBVz2it7a2Zx2G2t; mean accuracy; https://epoch.ai/data/benchmarks.csv	Not reported	Not reported	Not reported	Not reported	Not reported
Epoch · Mystery Game Puzzles · v1.0.4 · Tool submissionEpoch AI · Epoch AI Inspect; task 1.0.4; scorer agent_submitted_next_move_scorer Benchmark details Epoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. Unit: percent. Source collected 2026-09-12.	28% Reported settings Epoch AI Inspect; task 1.0.4; scorer agent_submitted_next_move_scorer; model=gpt-5.5_low; run=QHfAMMDjjzQF6xitN2vBbA; mean accuracy; https://epoch.ai/data/benchmarks.csv	Not reported	52% Reported settings Epoch AI Inspect; task 1.0.4; scorer agent_submitted_next_move_scorer; model=gpt-5.5_high; run=Knij32Jp6bQJ2V9NHpg5VS; mean accuracy; https://epoch.ai/data/benchmarks.csv	56% Reported settings Epoch AI Inspect; task 1.0.4; scorer agent_submitted_next_move_scorer; model=gpt-5.5_xhigh; run=EatRQnSaUpUwKzdtjYnQHo; mean accuracy; https://epoch.ai/data/benchmarks.csv	18% Reported settings Epoch AI Inspect; task 1.0.4; scorer agent_submitted_next_move_scorer; model=gpt-5.5_none; run=MHAMdn52f7wLMZ6MSCs5E2; mean accuracy; https://epoch.ai/data/benchmarks.csv	Not reported
Epoch · OTIS Mock AIME 2024-2025 · v1.1.6Epoch AI · Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match Benchmark details Epoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. Unit: percent. Source collected 2026-09-12.	84.44% Reported settings Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match; model=gpt-5.5_low; run=CdmtwZ8NR8YeTXWiLVTRDJ; mean accuracy; https://epoch.ai/data/benchmarks.csv	Not reported	Not reported	Not reported	57.78% Reported settings Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match; model=gpt-5.5_none; run=QuqPmMUTbiEsUvoFYZx5Mk; mean accuracy; https://epoch.ai/data/benchmarks.csv	Not reported
Epoch · SimpleQA Verified · v1.2.0Epoch AI · Epoch AI Inspect; task 1.2.0; scorer simpleqa_scorer Benchmark details Epoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	63% Reported settings Epoch AI Inspect; task 1.2.0; scorer simpleqa_scorer; model=gpt-5.5_xhigh; run=TijCafTTJUFrJ6jPGvBbgq; mean accuracy; https://epoch.ai/data/benchmarks.csv	Not reported	Not reported
Vals AI · Finance Agent v2Vals AI · Vals FAB v2 shared six-tool harness; two-hour task limit Benchmark details Overall weighted rubric accuracy, averaged over three runs on 450 tasks. Dealbreaker failures and timeouts score zero. Related categories and all-pass scores are not additional votes. Three-model judge panel; private test set. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	51.76% Reported settings {"checkpoint":"gpt-5.5","evaluatorModel":"openai/gpt-5.5","sourceUpdatedOn":"2026-09-10","reasoning_effort":"xhigh","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}	Not reported	Not reported
Vals AI · Code Migration v1Vals AI · Vals Code Migration shared agent harness Benchmark details Hidden behavior-test pass rate, equally weighted across 40 repositories (30 CLI and 10 COBOL-to-Java). Anti-cheat failures score zero. Code-quality ratings and language splits are not additional votes. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	45.16% Reported settings {"checkpoint":"gpt-5.5","evaluatorModel":"openai/gpt-5.5","sourceUpdatedOn":"2026-09-10","reasoning_effort":"xhigh","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}	Not reported	Not reported
Vals AI · Legal Research Bench v1Vals AI · Vals Legal Research shared five-tool harness; three-hour task limit Benchmark details All-pass accuracy on 208 private legal research tasks. Every expert rubric check must pass; GPT-5.4 judges responses. Partial-credit scores and practice-area splits are not additional votes. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	40.39% Reported settings {"checkpoint":"gpt-5.5","evaluatorModel":"openai/gpt-5.5","sourceUpdatedOn":"2026-09-10","reasoning_effort":"xhigh","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}	Not reported	Not reported
Vals AI · Excel Modeling Benchmark v1Vals AI · Vals EMB shared workbook agent harness; 3.5-hour task limit Benchmark details Mean of seven equally weighted task categories. Template submissions use recalculated Excel cell accuracy; scratch submissions use rubric checks judged by GPT-5.4 Mini XHigh. Partial credit does not mean task completion. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	64.54% Reported settings {"checkpoint":"gpt-5.5","evaluatorModel":"openai/gpt-5.5","sourceUpdatedOn":"2026-09-10","reasoning_effort":"xhigh","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}	Not reported	Not reported
Vals AI · MMLU-Pro v1Vals AI · Vals MMLU-Pro five-shot chain-of-thought; regex answer grading Benchmark details Mean accuracy across 14 subjects under Vals five-shot prompting. Subject splits share one family and are not additional votes. Vals labels this benchmark archived; it is historical corroboration, not ongoing frontier evaluation. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	88.14% Reported settings {"checkpoint":"gpt-5.5","evaluatorModel":"openai/gpt-5.5","sourceUpdatedOn":"2026-09-01","reasoning_effort":"xhigh","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}	Not reported	Not reported
Vals AI · Terminal-Bench 2.1Vals AI · Vals Terminus 2 harness; pass@1 on 89 tasks Benchmark details Overall task pass rate under the shared Terminus 2 configuration. All task tests must pass. Difficulty splits share one family. Fable 5 and Opus 5 mixed-checkpoint fallback runs are excluded. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	76.4% Reported settings {"checkpoint":"gpt-5.5","evaluatorModel":"openai/gpt-5.5","sourceUpdatedOn":"2026-09-10","reasoning_effort":"high","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}	Not reported	Not reported	Not reported
Vals AI · Vibe Code Bench v1.1Vals AI · Vals modified OpenHands harness; five hours or 1,000 turns per app Benchmark details Mean app test pass rate on the canonical v1.1 test set. Browser Use executes workflow tests; each test requires at least 90% of its substeps. Automated judging can introduce error. Alternate agents are excluded. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	69.85% Reported settings {"checkpoint":"gpt-5.5","evaluatorModel":"openai/gpt-5.5","sourceUpdatedOn":"2026-09-10","reasoning_effort":"xhigh","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":"OpenHands"}	Not reported	Not reported
Vals AI · Harvey Legal Agent Benchmark v1Vals AI · Vals Harvey held-out legal file-work protocol; internet disabled Benchmark details Mean task resolution across two judges (GPT-5.5 Medium and Sonnet 4.6), requiring every criterion to pass. Criteria pass rates and practice-area splits do not add votes. Shared Harvey family; Fable 5 fallback run excluded. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	3.75% Reported settings {"checkpoint":"gpt-5.5","evaluatorModel":"openai/gpt-5.5","sourceUpdatedOn":"2026-09-10","reasoning_effort":"xhigh","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}	Not reported	Not reported

What these comparisons mean

Each source reports its own effort labels. Matching labels do not establish equal compute budgets or identical fallback behavior. Open Reported settings to inspect the exact model name, agent and task coverage. Multiple results at one level remain visible rather than selecting the best. Source-reported None or Non-reasoning labels are not treated as evidence that an API supports those settings.

These measurements use their own dated source collection. The leaderboard fits identified configurations jointly; it contains no pooled model ratings. Explicit thinking budgets are separate configurations. Read the methodology.

Download all effort benchmark results · 7,424 results across 240 models · Collected 2026-09-12

GPT-5.5 effort benchmarks

GPT-5.5

Capability score evidence

One configuration, seven capabilities

Agentic

Hard reasoning

Coding

Human pref

Knowledge

Multimodal

Long context