RankingEffort benchmarks

GPT-5.6 Terra · Max

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193 measured results · 7 effort settings · 75 benchmark/harness combinations

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Choose a second model and its effort to see both profiles and benchmark differences below.

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Capability profile

One configuration, seven capabilities

Comparison score · 0–100

AGPT-5.6 Terra · Max4 of 7 capabilities supported

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

Agentic
A62.0Supported
Hard reasoning
A62.2Supported
Coding
A64.6Supported
Human pref
Unknown
Knowledge
A32.5Supported
Multimodal
A46.3Preliminary
Long context
A71.0Preliminary

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.

Capability score evidence

GPT-5.6 Terra · Max: 56.7 overall comparison score. Meets the overall evidence requirements.

6 areas measured. The available task mix affects this estimate; missing areas remain unknown.

Which sources carry the weight?

LiveBench · 13.6% direct comparison weight · independent of the model provider
Cognition · 13.6% direct comparison weight · independent of the model provider
Vals AI · 13.4% direct comparison weight · independent of the model provider
Terminal-Bench · 13.2% direct comparison weight · independent of the model provider
Artificial Analysis · 12.9% direct comparison weight · independent of the model provider
ARC Prize · 12.5% direct comparison weight · independent of the model provider
Epoch AI · 12.2% direct comparison weight · independent of the model provider
Datacurve · 8.5% direct comparison weight · independent of the model provider

Which benchmark families carry the weight?

Terminal-Bench · 15.7% direct comparison weight
FrontierCode · 13.6% direct comparison weight
DeepSWE · 8.5% direct comparison weight
ARC-AGI · 6.8% direct comparison weight
arc-agi-3 · 5.7% direct comparison weight
Other families (34) · 49.7% direct comparison weight

These shares describe direct comparison weight, not fractions of the final score or confidence. Source balancing does not give every family equal weight or remove correlations between overlapping sources.

DeepSWE v1.1 review: Epoch AI reported grading errors in at least 23 of 113 tasks. These published results remain included. Review their limitations in Epoch's review when interpreting this evidence.

How sensitive is this score?

The audit removes one source at a time and refits against the same overall reference panel. These published results use the matching dataset audited 2026-10-20.

Both ranks use the same surviving configurations for each removal. The cohort starts with 444 configurations supported in the original audit, including separate effort settings. These are diagnostic positions, not the default leaderboard ranks. Eligibility is not rechecked after removal.

What changes when a source is removed?
Removed source	Rank before → after	Rank movement	Cohort remaining / lost support	Score after (change)
Artificial Analysis	59 → 59	No movement	203 remaining / 241 lost	57.4 (+0.7 points)
ARC Prize	61 → 60	Up 1	444 remaining / 0 lost	60.1 (+3.4 points)
Datacurve	61 → 64	Down 3	444 remaining / 0 lost	48.7 (-8.0 points)
LiveCodeBench	61 → 61	No movement	444 remaining / 0 lost	56.7 (-0.0 points)
Scale	61 → 61	No movement	444 remaining / 0 lost	58.1 (+1.4 points)
Terminal-Bench	61 → 58	Up 3	444 remaining / 0 lost	57.8 (+1.1 points)
Cognition	61 → 53	Up 8	444 remaining / 0 lost	56.5 (-0.2 points)
LiveBench	61 → 60	Up 1	443 remaining / 1 lost	58.6 (+1.9 points)
SWE-rebench	61 → 60	Up 1	444 remaining / 0 lost	56.0 (-0.7 points)
Epoch AI	61 → 61	No movement	431 remaining / 13 lost	57.1 (+0.4 points)
Vals AI	61 → 61	No movement	443 remaining / 1 lost	56.8 (+0.1 points)
Provider reports · Anthropic	61 → 61	No movement	444 remaining / 0 lost	56.7 (+0.0 points)
Provider reports · Moonshot AI	61 → 61	No movement	444 remaining / 0 lost	56.6 (-0.1 points)
Provider reports · Meta	61 → 61	No movement	444 remaining / 0 lost	56.6 (-0.1 points)
Provider reports · Mistral	61 → 61	No movement	444 remaining / 0 lost	56.7 (+0.0 points)
Provider reports · OpenAI	61 → 61	No movement	444 remaining / 0 lost	56.6 (-0.1 points)
All provider reports	61 → 61	No movement	444 remaining / 0 lost	56.4 (-0.3 points)

Lost support means a configuration no longer has a comparison path to the complete reference panel. Its rank is unavailable. A surviving path alone does not establish leaderboard eligibility.

Overlapping sources may remain correlated even with source balancing. Leave-one-source-out movement is a sensitivity diagnostic, not a spread of source-specific ranks or a confidence measure. Scoring methodology · Dated configuration audit

Every benchmark family

Removed evidence	Recomputed score	Change
deepswe	48.7	-8.0
simpleqa	58.5	+1.8
arc-agi	58.3	+1.7
arc-agi-3	58.1	+1.5
livebench-instructions	57.8	+1.1
mmmu-pro	57.6	+0.9
frontiermath	55.8	-0.9
terminal-bench	57.5	+0.8
harvey	57.5	+0.8
livebench-reasoning	55.9	-0.8
swe-rebench	56.0	-0.7
hle	57.4	+0.7
vals-code-migration	56.1	-0.5
mmlu-pro	57.1	+0.4
enterprise-ops	57.1	+0.4
aime	56.3	-0.4
livebench-data	56.3	-0.4
multi-swe-bench	56.3	-0.4
gpqa	56.3	-0.4
livebench-language	57.0	+0.3
epoch-game-puzzles	56.4	-0.3
swe-atlas-qna	56.4	-0.3
itbench	56.4	-0.3
omniscience	56.9	+0.2
automationbench	56.5	-0.2
terminal-bench-science	56.5	-0.2
vals-tax-agent	56.5	-0.2
frontiercode	56.5	-0.2
swe-atlas-test-writing	56.6	-0.1
vibe-code	56.8	+0.1
vals-legal-research	56.6	-0.1
vals-excel-modeling	56.6	-0.1
livebench-math	56.8	+0.1
vals-finance-agent	56.6	-0.1
tau-bench	56.6	-0.0
swe-atlas-refactoring	56.7	-0.0
ifbench	56.7	-0.0
apex-agents	56.7	-0.0
gdp-pdf	56.7	+0.0
livebench-coding	56.7	-0.0
critpt	56.7	+0.0
aa-lcr	56.7	-0.0
livecodebench	56.7	-0.0
analyst-agent	56.7	+0.0
swe-bench-pro	56.7	-0.0
gmmlu	56.7	+0.0
enigma-eval	56.7	+0.0
gdpval	56.7	+0.0
briefcase	56.7	-0.0
math500	56.7	+0.0

What evidence is missing from the fit?

Across all collected settings for this model: 264 observations, 172 contributing, 0 matched without graph weight and 92 excluded. Counts do not establish rank eligibility.

10 · Benchmark family or source protocol has not been reviewed
6 · Original SciCode grading defects are under review; retained as supporting evidence, excluded from aggregate and capability scores. Corrected SciCode-Verified requires a separate protocol review. Sources: https://arxiv.org/abs/2608.04975 and https://artificialanalysis.ai/evaluations/scicode
5 · Evaluator has not been reviewed for independent admission
15 · Supporting evidence outside the reviewed capability core
31 · No reviewed effort for this catalog observation; any separately collected effort measurement is counted separately
1 · Provider-sourced OSWorld task revision is unverified; cannot join a known-version comparison.
19 · Narrow specialist biological, medical or security evaluation; preserved as raw evidence outside general capability scoring.
5 · Composite index or publisher-specific internal evaluation lacks a stable general-capability comparison unit.

Inspect every observation and exclusion →

Benchmark results

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	Max	None	Non-reasoning
AA-Briefcase EloArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details AA-Briefcase v1.1 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 2026-10-18.	1,014.15 Elo Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	1,039.24 Elo Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	1,202.17 Elo Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	1,332.76 Elo Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	1,334.22 Elo Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	947.53 Elo Reported settings GPT-5.6 Terra (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-non-reasoning
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 2026-10-18.	Not reported	Not reported	Not reported	Not reported	38.94% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	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 2026-10-18.	71.33% Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	74% Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	77.67% Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	79% Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	83% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	58.67% Reported settings GPT-5.6 Terra (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-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 2026-10-18.	29.11% Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	33.54% Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	42.02% Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	47.14% Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	59.65% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	12.54% Reported settings GPT-5.6 Terra (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-non-reasoning
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. CritPt is under review by its authors following external feedback · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-10-18.	9.43% Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	17.43% Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	22.86% Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	27.14% Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	30% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	2% Reported settings GPT-5.6 Terra (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-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 2026-10-18.	Not reported	Not reported	Not reported	Not reported	38.5% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	Not reported
GDP.pdf: All-pass RateArtificial 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 2026-10-18.	17.6% Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	17% Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	20.8% Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	24.6% Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	24% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	11.2% Reported settings GPT-5.6 Terra (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-non-reasoning
GDPval-AA v2.1 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 DeepSeek V4.1 Flash (max) at 1600 · Higher is better · Evaluation results measured independently by Artificial Analysis Unit: elo. Source collected 2026-10-18.	1,108.75 Elo Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	1,265.44 Elo Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	1,375.94 Elo Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	1,446.98 Elo Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	1,451.58 Elo Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	1,098.01 Elo Reported settings GPT-5.6 Terra (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-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 2026-10-18.	84.34% Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	87.17% Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	89.6% Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	90.81% Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	92.53% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	74.65% Reported settings GPT-5.6 Terra (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-non-reasoning
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 2026-10-18.	29.19% Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	33.27% Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	38.51% Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	41.89% Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	42.91% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	11.4% Reported settings GPT-5.6 Terra (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-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 2026-10-18.	59.66% Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	62.18% Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	64.42% Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	66.26% Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	71.22% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	Not reported
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 2026-10-18.	Not reported	Not reported	Not reported	Not reported	51.04% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	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 2026-10-18.	8.89% Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	12.22% Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	12.22% Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	21.67% Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	31.67% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	Not reported
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 2026-10-18.	76.13% Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	76.76% Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	79.08% Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	79.48% Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	80.69% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	66.71% Reported settings GPT-5.6 Terra (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-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 2026-10-18.	-6.83 Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	-5.13 Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	-3.47 Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	-2.98 Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	0.05 Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	-23.22 Reported settings GPT-5.6 Terra (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-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 2026-10-18.	43.73% Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	44.6% Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	45.48% Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	45.52% Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	46.8% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	36.82% Reported settings GPT-5.6 Terra (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-non-reasoning
SciCodeArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Benchmark curated by scientists across 16 disciplines. SciCode is under review following an independent audit of the dataset · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-10-18.	49.88% Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	50.46% Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	52.43% Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	52.31% Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	54.98% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	45.14% Reported settings GPT-5.6 Terra (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-non-reasoning
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 2026-10-18.	60.53% Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	72.81% Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	78.36% Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	80.41% Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	86.26% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	Not reported
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 2026-10-18.	18.76% Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	25.57% Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	28.66% Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	29.69% Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	40.21% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	15.67% Reported settings GPT-5.6 Terra (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-non-reasoning
Terminal-Bench-Science 0.1Artificial Analysis · mini-swe-agent; Terminal-Bench-Science 0.1.0; 70 tasks; pass@1 averaged over 3 repeats Benchmark details Share of tasks passed (pass@1), averaged over three repeats · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-10-18.	Not reported	Not reported	Not reported	Not reported	13.81% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	Not reported
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 2026-10-18.	43.94% Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	Not reported	57.58% Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	62.88% Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	57.58% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	Not reported
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 2026-10-18.	62.55% Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	72.28% Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	75.66% Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	80.15% Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	88.01% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	56.18% Reported settings GPT-5.6 Terra (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-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 2026-10-18.	1.52% Reported settings GPT-5.6 Terra (Low); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-low	1.01% Reported settings GPT-5.6 Terra (Medium); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-medium	1.52% Reported settings GPT-5.6 Terra (High); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-high	10.1% Reported settings GPT-5.6 Terra (Xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-xhigh	35.35% Reported settings GPT-5.6 Terra (Max); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra	Not reported	0.51% Reported settings GPT-5.6 Terra (Non-reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-6-terra-non-reasoning
ARC-AGI-2ARC Prize · v2 Semi-Private Benchmark details Original public board. Configuration and task coverage may differ; inspect source. Unit: percent. Source collected 2026-10-18.	18.75% Reported settings GPT-5.6 Terra (Low); Source model ID: openai-gpt-5-6-terra-low; 120 tasks	37.5% Reported settings GPT-5.6 Terra (Medium); Source model ID: openai-gpt-5-6-terra-medium; 120 tasks	67.08% Reported settings GPT-5.6 Terra (High); Source model ID: openai-gpt-5-6-terra-high; 120 tasks	74.17% Reported settings GPT-5.6 Terra (XHigh); Source model ID: openai-gpt-5-6-terra-xhigh; 120 tasks	83.9% Reported settings GPT-5.6 Terra (Max); Source model ID: openai-gpt-5-6-terra-max; 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 2026-10-18.	24.1% Reported settings gpt-5-6-terra; Reported effort: low; 113 unique tasks; 449 attempts; 4 runs	35.1% Reported settings gpt-5-6-terra; Reported effort: medium; 113 unique tasks; 450 attempts; 4 runs	53.8% Reported settings gpt-5-6-terra; Reported effort: high; 113 unique tasks; 452 attempts; 4 runs	60.2% Reported settings gpt-5-6-terra; Reported effort: xhigh; 113 unique tasks; 452 attempts; 4 runs	69.6% Reported settings gpt-5-6-terra; Reported effort: max; 113 unique tasks; 451 attempts; 4 runs	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 · 8,915 results across 259 models · Collected 2026-10-18

GPT-5.6 Terra · Max

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