RankingEffort benchmarks

GPT-6 Astra effort benchmarks

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

Model

GPT-6 Astra

160 measured results · 6 reported effort labels · 65 benchmark/harness combinations. Model evidence and sources →

Capability score evidence

GPT-6 Astra · XHigh: 83.1 overall comparison score. Meets the overall evidence requirements.

Which sources carry the weight?

Cognition · 25.0% direct comparison weight · independent
Artificial Analysis · 22.3% direct comparison weight · independent
ARC Prize · 22.0% direct comparison weight · independent
Datacurve · 15.6% direct comparison weight · independent
Scale · 11.8% direct comparison weight · independent
Terminal-Bench · 2.1% direct comparison weight · independent
Epoch AI · 1.2% 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	86.0	+2.9
ARC Prize	83.9	+0.8
Datacurve	79.5	-3.6
LiveCodeBench	83.1	-0.0
Scale	82.2	-0.9
Terminal-Bench	82.8	-0.2
Cognition	83.3	+0.3
LiveBench	83.5	+0.5
SWE-rebench	82.9	-0.2
Epoch AI	83.2	+0.1
Vals AI	83.2	+0.1
Provider reports · Anthropic	83.1	+0.0
Provider reports · Moonshot AI	83.5	+0.5
Provider reports · Meta	83.1	-0.0
Provider reports · Mistral	83.1	+0.0
All provider reports	83.5	+0.5

Every benchmark family

Removed evidence	Recomputed score	Change
deepswe	79.4	-3.6
arc-agi	84.7	+1.7
arc-agi-3	82.3	-0.7
frontiermath	82.6	-0.5
mmmu-pro	83.4	+0.4
simpleqa	83.4	+0.3
swe-atlas-test-writing	82.8	-0.3
frontiercode	83.3	+0.3
swe-atlas-refactoring	82.8	-0.2
mmlu-pro	83.3	+0.2
swe-atlas-qna	83.2	+0.2
epoch-game-puzzles	82.9	-0.2
hle	83.2	+0.2
swe-rebench	82.9	-0.2
terminal-bench	82.9	-0.2
scicode	83.2	+0.2
gpqa	82.9	-0.1
livebench-instructions	83.2	+0.1
ifbench	82.9	-0.1
aa-lcr	83.2	+0.1
gdpval	83.2	+0.1
automationbench	82.9	-0.1
multi-swe-bench	83.0	-0.1
livebench-coding	83.0	-0.1
omniscience	83.1	+0.1
critpt	83.1	+0.1
vals-legal-research	83.0	-0.1
gdp-pdf	83.0	-0.1
livebench-reasoning	83.0	-0.1
vals-code-migration	83.0	-0.1
livebench-language	83.1	+0.1
vibe-code	83.0	-0.1
vals-excel-modeling	83.0	-0.0
aime	83.0	-0.0
livebench-math	83.1	+0.0
swe-bench-pro	83.0	-0.0
itbench	83.0	-0.0
briefcase	83.0	-0.0
harvey	83.1	+0.0
livecodebench	83.0	-0.0
tau-bench	83.0	-0.0
vals-finance-agent	83.0	-0.0
enigma-eval	83.1	+0.0
apex-agents	83.1	+0.0
gmmlu	83.1	-0.0
math500	83.1	-0.0
enterprise-ops	83.1	+0.0
livebench-data	83.1	-0.0
analyst-agent	83.1	-0.0

What evidence is missing from the fit?

Across all collected settings for this model: 220 observations, 146 contributing, 0 matched without graph weight and 74 excluded. Counts do not establish rank eligibility.

5 · Benchmark family or source protocol has not been reviewed
1 · Source-reported label. OpenAI documents Low through Max for Astra; this does not establish a supported non-reasoning API setting.
5 · Fewer than two distinct model identities remain in this evaluation
2 · Source-reported None does not establish a supported Astra API setting.
1 · Starred protocol annotation requires row-specific review before ranking.
40 · Supporting evidence outside the reviewed capability core
14 · No matched, identified effort unit; duplicates and unnamed comparators do not add evidence
3 · No matched opponent in this evaluation unit
3 · No reviewed effort for this catalog observation; any separately collected effort measurement is counted separately

Inspect every observation and exclusion →

Capability profile

One configuration, seven capabilities

Comparison score · 0–100

AGPT-6 Astra · XHigh3 of 7 capabilities supported

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

Agentic
A73.7Supported
Hard reasoning
A79.9Supported
Coding
A85.1Supported
Human pref
Unknown
Knowledge
A67.7Preliminary
Multimodal
A70.4Preliminary
Long context
A54.0Preliminary

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.

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	Max	None
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	Not reported	51.25% Reported settings GPT-6 Astra (max); Model source: https://artificialanalysis.ai/models/gpt-6-astra	Not reported
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.	1,253.1 Elo Reported settings GPT-6 Astra (low); Model source: https://artificialanalysis.ai/models/gpt-6-astra-low	1,450.6 Elo Reported settings GPT-6 Astra (medium); Model source: https://artificialanalysis.ai/models/gpt-6-astra-medium	1,493.87 Elo Reported settings GPT-6 Astra (high); Model source: https://artificialanalysis.ai/models/gpt-6-astra-high	1,533.73 Elo Reported settings GPT-6 Astra (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-astra-xhigh	1,562.01 Elo Reported settings GPT-6 Astra (max); Model source: https://artificialanalysis.ai/models/gpt-6-astra	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.	80% Reported settings GPT-6 Astra (low); Model source: https://artificialanalysis.ai/models/gpt-6-astra-low	79.67% Reported settings GPT-6 Astra (medium); Model source: https://artificialanalysis.ai/models/gpt-6-astra-medium	80% Reported settings GPT-6 Astra (high); Model source: https://artificialanalysis.ai/models/gpt-6-astra-high	80% Reported settings GPT-6 Astra (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-astra-xhigh	80.67% Reported settings GPT-6 Astra (max); Model source: https://artificialanalysis.ai/models/gpt-6-astra	Not reported
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.	59.1% Reported settings GPT-6 Astra (low); Model source: https://artificialanalysis.ai/models/gpt-6-astra-low	64.59% Reported settings GPT-6 Astra (medium); Model source: https://artificialanalysis.ai/models/gpt-6-astra-medium	66.61% Reported settings GPT-6 Astra (high); Model source: https://artificialanalysis.ai/models/gpt-6-astra-high	67.18% Reported settings GPT-6 Astra (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-astra-xhigh	68.49% Reported settings GPT-6 Astra (max); Model source: https://artificialanalysis.ai/models/gpt-6-astra	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.	26.29% Reported settings GPT-6 Astra (low); Model source: https://artificialanalysis.ai/models/gpt-6-astra-low	29.14% Reported settings GPT-6 Astra (medium); Model source: https://artificialanalysis.ai/models/gpt-6-astra-medium	28.86% Reported settings GPT-6 Astra (high); Model source: https://artificialanalysis.ai/models/gpt-6-astra-high	31.43% Reported settings GPT-6 Astra (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-astra-xhigh	31.71% Reported settings GPT-6 Astra (max); Model source: https://artificialanalysis.ai/models/gpt-6-astra	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.	30.4% Reported settings GPT-6 Astra (low); Model source: https://artificialanalysis.ai/models/gpt-6-astra-low	30.4% Reported settings GPT-6 Astra (medium); Model source: https://artificialanalysis.ai/models/gpt-6-astra-medium	31% Reported settings GPT-6 Astra (high); Model source: https://artificialanalysis.ai/models/gpt-6-astra-high	32.2% Reported settings GPT-6 Astra (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-astra-xhigh	31% Reported settings GPT-6 Astra (max); Model source: https://artificialanalysis.ai/models/gpt-6-astra	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.	1,419.29 Elo Reported settings GPT-6 Astra (low); Model source: https://artificialanalysis.ai/models/gpt-6-astra-low	1,500.67 Elo Reported settings GPT-6 Astra (medium); Model source: https://artificialanalysis.ai/models/gpt-6-astra-medium	1,529.7 Elo Reported settings GPT-6 Astra (high); Model source: https://artificialanalysis.ai/models/gpt-6-astra-high	1,555.23 Elo Reported settings GPT-6 Astra (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-astra-xhigh	1,580.2 Elo Reported settings GPT-6 Astra (max); Model source: https://artificialanalysis.ai/models/gpt-6-astra	Not reported
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.	93.13% Reported settings GPT-6 Astra (low); Model source: https://artificialanalysis.ai/models/gpt-6-astra-low	93.94% Reported settings GPT-6 Astra (medium); Model source: https://artificialanalysis.ai/models/gpt-6-astra-medium	94.95% Reported settings GPT-6 Astra (high); Model source: https://artificialanalysis.ai/models/gpt-6-astra-high	96.26% Reported settings GPT-6 Astra (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-astra-xhigh	96.06% Reported settings GPT-6 Astra (max); Model source: https://artificialanalysis.ai/models/gpt-6-astra	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.	49.21% Reported settings GPT-6 Astra (low); Model source: https://artificialanalysis.ai/models/gpt-6-astra-low	52.73% Reported settings GPT-6 Astra (medium); Model source: https://artificialanalysis.ai/models/gpt-6-astra-medium	53.06% Reported settings GPT-6 Astra (high); Model source: https://artificialanalysis.ai/models/gpt-6-astra-high	54.59% Reported settings GPT-6 Astra (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-astra-xhigh	54.68% Reported settings GPT-6 Astra (max); Model source: https://artificialanalysis.ai/models/gpt-6-astra	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.	Not reported	Not reported	Not reported	Not reported	35% Reported settings GPT-6 Astra (max); Model source: https://artificialanalysis.ai/models/gpt-6-astra	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 2026-09-12.	84.62% Reported settings GPT-6 Astra (low); Model source: https://artificialanalysis.ai/models/gpt-6-astra-low	85.09% Reported settings GPT-6 Astra (medium); Model source: https://artificialanalysis.ai/models/gpt-6-astra-medium	86.42% Reported settings GPT-6 Astra (high); Model source: https://artificialanalysis.ai/models/gpt-6-astra-high	86.24% Reported settings GPT-6 Astra (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-astra-xhigh	86.88% Reported settings GPT-6 Astra (max); Model source: https://artificialanalysis.ai/models/gpt-6-astra	Not reported
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.	40.55 Reported settings GPT-6 Astra (low); Model source: https://artificialanalysis.ai/models/gpt-6-astra-low	42.22 Reported settings GPT-6 Astra (medium); Model source: https://artificialanalysis.ai/models/gpt-6-astra-medium	43.73 Reported settings GPT-6 Astra (high); Model source: https://artificialanalysis.ai/models/gpt-6-astra-high	43.42 Reported settings GPT-6 Astra (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-astra-xhigh	43.4 Reported settings GPT-6 Astra (max); Model source: https://artificialanalysis.ai/models/gpt-6-astra	Not reported
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.	59.53% Reported settings GPT-6 Astra (low); Model source: https://artificialanalysis.ai/models/gpt-6-astra-low	60.57% Reported settings GPT-6 Astra (medium); Model source: https://artificialanalysis.ai/models/gpt-6-astra-medium	61.13% Reported settings GPT-6 Astra (high); Model source: https://artificialanalysis.ai/models/gpt-6-astra-high	61.85% Reported settings GPT-6 Astra (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-astra-xhigh	62.6% Reported settings GPT-6 Astra (max); Model source: https://artificialanalysis.ai/models/gpt-6-astra	Not reported
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.	54.05% Reported settings GPT-6 Astra (low); Model source: https://artificialanalysis.ai/models/gpt-6-astra-low	54.17% Reported settings GPT-6 Astra (medium); Model source: https://artificialanalysis.ai/models/gpt-6-astra-medium	55.44% Reported settings GPT-6 Astra (high); Model source: https://artificialanalysis.ai/models/gpt-6-astra-high	55.67% Reported settings GPT-6 Astra (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-astra-xhigh	56.48% Reported settings GPT-6 Astra (max); Model source: https://artificialanalysis.ai/models/gpt-6-astra	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 2026-09-12.	31.96% Reported settings GPT-6 Astra (low); Model source: https://artificialanalysis.ai/models/gpt-6-astra-low	35.46% Reported settings GPT-6 Astra (medium); Model source: https://artificialanalysis.ai/models/gpt-6-astra-medium	40% Reported settings GPT-6 Astra (high); Model source: https://artificialanalysis.ai/models/gpt-6-astra-high	43.09% Reported settings GPT-6 Astra (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-astra-xhigh	41.44% Reported settings GPT-6 Astra (max); Model source: https://artificialanalysis.ai/models/gpt-6-astra	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 2026-09-12.	88.01% Reported settings GPT-6 Astra (low); Model source: https://artificialanalysis.ai/models/gpt-6-astra-low	89.51% Reported settings GPT-6 Astra (medium); Model source: https://artificialanalysis.ai/models/gpt-6-astra-medium	89.89% Reported settings GPT-6 Astra (high); Model source: https://artificialanalysis.ai/models/gpt-6-astra-high	89.14% Reported settings GPT-6 Astra (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-astra-xhigh	88.39% Reported settings GPT-6 Astra (max); Model source: https://artificialanalysis.ai/models/gpt-6-astra	Not reported
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.	41.92% Reported settings GPT-6 Astra (low); Model source: https://artificialanalysis.ai/models/gpt-6-astra-low	49.49% Reported settings GPT-6 Astra (medium); Model source: https://artificialanalysis.ai/models/gpt-6-astra-medium	54.04% Reported settings GPT-6 Astra (high); Model source: https://artificialanalysis.ai/models/gpt-6-astra-high	59.6% Reported settings GPT-6 Astra (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-astra-xhigh	59.09% Reported settings GPT-6 Astra (max); Model source: https://artificialanalysis.ai/models/gpt-6-astra	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.	85.42% Reported settings GPT-6 Astra (Low); Source model ID: openai-gpt-6-astra-low; 120 tasks	92.08% Reported settings GPT-6 Astra (Medium); Source model ID: openai-gpt-6-astra-medium; 120 tasks	92.08% Reported settings GPT-6 Astra (High); Source model ID: openai-gpt-6-astra-high; 120 tasks	93.33% Reported settings GPT-6 Astra (XHigh); Source model ID: openai-gpt-6-astra-xhigh; 120 tasks	95% Reported settings GPT-6 Astra (Max); Source model ID: openai-gpt-6-astra-max; 120 tasks	59.58% Reported settings GPT-6 Astra (None); Source model ID: openai-gpt-6-astra-none; 120 tasks Source-reported label. OpenAI documents Low through Max for Astra; this does not establish a supported non-reasoning API setting. Source label needs review
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.	67% Reported settings gpt-6-astra; Reported effort: low; 113 unique tasks; 452 attempts; 4 runs	72.8% Reported settings gpt-6-astra; Reported effort: medium; 113 unique tasks; 452 attempts; 4 runs	73.2% Reported settings gpt-6-astra; Reported effort: high; 113 unique tasks; 452 attempts; 4 runs	74.1% Reported settings gpt-6-astra; Reported effort: xhigh; 113 unique tasks; 452 attempts; 4 runs	73.2% Reported settings gpt-6-astra; Reported effort: max; 113 unique tasks; 452 attempts; 4 runs	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.	86.74% Reported settings GPT-6 Astra; Reported effort: low; 445 trials; recorded 2026-09-03	86.97% Reported settings GPT-6 Astra; Reported effort: medium; 445 trials; recorded 2026-09-03	87.42% Reported settings GPT-6 Astra; Reported effort: high; 445 trials; recorded 2026-09-03	85.84% Reported settings GPT-6 Astra; Reported effort: xhigh; 445 trials; recorded 2026-09-03	86.74% Reported settings GPT-6 Astra; Reported effort: max; 445 trials; recorded 2026-09-03	Not reported
ARC-AGI-3 · provider-adapterARC Prize · Provider Adapter Benchmark details ARC-AGI-3; Provider Adapter. Open each result for its exact effort, task subset, metric and protocol details. Unit: percent. Source collected 2026-09-12.	98.03% Reported settings ARC-AGI-3 Semi-Private verified summary; Provider Adapter harness; source group openai-gpt-6-astra; variant provider-adapter-low; public-demo task scores are excluded	98.44% Reported settings ARC-AGI-3 Semi-Private verified summary; Provider Adapter harness; source group openai-gpt-6-astra; variant provider-adapter-medium; public-demo task scores are excluded	99.95% Reported settings ARC-AGI-3 Semi-Private verified summary; Provider Adapter harness; source group openai-gpt-6-astra; variant provider-adapter-high; public-demo task scores are excluded	98.44% Reported settings ARC-AGI-3 Semi-Private verified summary; Provider Adapter harness; source group openai-gpt-6-astra; variant provider-adapter-xhigh; public-demo task scores are excluded	98.55% Reported settings ARC-AGI-3 Semi-Private verified summary; Provider Adapter harness; source group openai-gpt-6-astra; variant provider-adapter-max; public-demo task scores are excluded	96.72% Reported settings ARC-AGI-3 Semi-Private verified summary; Provider Adapter harness; source group openai-gpt-6-astra; variant provider-adapter-none; public-demo task scores are excluded Source-reported None does not establish a supported Astra API setting. Source label needs review
ARC-AGI-3 · standardARC Prize · Standard Benchmark details ARC-AGI-3; Standard. Open each result for its exact effort, task subset, metric and protocol details. Unit: percent. Source collected 2026-09-12.	17.45% Reported settings ARC-AGI-3 Semi-Private verified summary; Standard harness; source group openai-gpt-6-astra; variant low; public-demo task scores are excluded	38.59% Reported settings ARC-AGI-3 Semi-Private verified summary; Standard harness; source group openai-gpt-6-astra; variant medium; public-demo task scores are excluded	54.82% Reported settings ARC-AGI-3 Semi-Private verified summary; Standard harness; source group openai-gpt-6-astra; variant high; public-demo task scores are excluded	59.34% Reported settings ARC-AGI-3 Semi-Private verified summary; Standard harness; source group openai-gpt-6-astra; variant xhigh; public-demo task scores are excluded	62.71% Reported settings ARC-AGI-3 Semi-Private verified summary; Standard harness; source group openai-gpt-6-astra; variant max; public-demo task scores are excluded	35.18% Reported settings ARC-AGI-3 Semi-Private verified summary; Standard harness; source group openai-gpt-6-astra; variant none; public-demo task scores are excluded Source-reported None does not establish a supported Astra API setting. Source label needs review
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.	57.4% 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 unspecified	60.25% 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 unspecified	63.07% 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 unspecified	62.12% 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 unspecified	64.48% Reported settings FrontierCode 1.1; extended; 150 tasks; codex; source effort max; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate unspecified	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.	45.27% 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 unspecified	48.83% 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 unspecified	50.94% 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 unspecified	50.62% 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 unspecified	53.26% Reported settings FrontierCode 1.1; main; 100 tasks; codex; source effort max; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate unspecified	Not reported
Terminal-Bench 4.0 · codexTerminal-Bench · Codex Benchmark details Terminal-Bench 4.0; Codex. Open each result for its exact effort, task subset, metric and protocol details. Unit: percent. Source collected 2026-09-12.	Not reported	Not reported	Not reported	Not reported	58.2% Reported settings Terminal-Bench 4.0.0; 66 tasks; Codex; effort max; reported margin ±2.8 percentage points, confidence level unspecified; release date 2026-09-03; board checked 2026-09-07	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	59.14% 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 2026-09-09T19:17:58.000Z; reported margin ±4.88 percentage points; No contamination annotation reported (not proof of absence) Starred protocol annotation requires row-specific review before ranking. Source label needs review	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	59.05% Reported settings 70 refactoring tasks across 10 repositories; behavior preservation and task-specific grading; source-reported agent harness.; published row 2026-09-09T19:16:22.000Z; reported margin ±6.43 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	50.74% 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 2026-09-09T19:19:03.000Z; reported margin ±5.91 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	Not reported	98% Reported settings LiveBench official task evaluation; livebench-2026-06-25-AMPS_Hard; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	80.44% Reported settings LiveBench official task evaluation; livebench-2026-06-25-code_completion; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	80.28% Reported settings LiveBench official task evaluation; livebench-2026-06-25-code_generation; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	100% Reported settings LiveBench official task evaluation; livebench-2026-06-25-connections; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	90.56% Reported settings LiveBench official task evaluation; livebench-2026-06-25-consecutive_events; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	100% Reported settings LiveBench official task evaluation; livebench-2026-06-25-integrals_with_game; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	63.64% Reported settings LiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-javascript; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	88% Reported settings LiveBench official task evaluation; livebench-2026-06-25-logic_with_navigation; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	97.06% Reported settings LiveBench official task evaluation; livebench-2026-06-25-math_comp; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	92.17% Reported settings LiveBench official task evaluation; livebench-2026-06-25-olympiad; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	78.25% Reported settings LiveBench official task evaluation; livebench-2026-06-25-paraphrase; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	86.29% Reported settings LiveBench official task evaluation; livebench-2026-06-25-plot_unscrambling; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	65% Reported settings LiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-python; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	70.53% Reported settings LiveBench official task evaluation; livebench-2026-06-25-simplify; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	98% Reported settings LiveBench official task evaluation; livebench-2026-06-25-spatial; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	73.98% Reported settings LiveBench official task evaluation; livebench-2026-06-25-story_generation; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	79.55% Reported settings LiveBench official task evaluation; livebench-2026-06-25-summarize; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	58.37% Reported settings LiveBench official task evaluation; livebench-2026-06-25-tablejoin; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	100% Reported settings LiveBench official task evaluation; livebench-2026-06-25-tablereformat; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	84.62% Reported settings LiveBench official task evaluation; livebench-2026-06-25-theory_of_mind; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	43.33% Reported settings LiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-typescript; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	82% Reported settings LiveBench official task evaluation; livebench-2026-06-25-typos; gpt-6-astra-max; checkpoint=gpt-6-astra	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	Not reported	100% Reported settings LiveBench official task evaluation; livebench-2026-06-25-zebra_puzzle; gpt-6-astra-max; checkpoint=gpt-6-astra	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.	Not reported	Not reported	Not reported	Not reported	72% Reported settings Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match; model=gpt-6-astra_max; run=TAGZYToqgQmFZr7uYL4rSF; 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.	87.8% Reported settings Epoch AI Inspect; task 2.0.0; scorer verification_code; model=gpt-6-astra_low; run=kRPSnHnDdheajNdqmKsMjs; mean accuracy; https://epoch.ai/data/benchmarks.csv	97.56% Reported settings Epoch AI Inspect; task 2.0.0; scorer verification_code; model=gpt-6-astra_medium; run=5sNRWemuVwb4adBaSwrLFf; mean accuracy; https://epoch.ai/data/benchmarks.csv	97.6% Reported settings Epoch AI Inspect; task 2.0.0; scorer verification_code; model=gpt-6-astra_high; run=f46NQY9jSxyKqo9qzrmk6F; mean accuracy; https://epoch.ai/data/benchmarks.csv	97.6% Reported settings Epoch AI Inspect; task 2.0.0; scorer verification_code; model=gpt-6-astra_xhigh; run=AfKJ2DGMhkjZmeFZxGoY3w; mean accuracy; https://epoch.ai/data/benchmarks.csv	97.6% Reported settings Epoch AI Inspect; task 2.0.0; scorer verification_code; model=gpt-6-astra_max; run=f7BCT27LzcAtaLDP2tcrWF; mean accuracy; https://epoch.ai/data/benchmarks.csv	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	Not reported	93.68% Reported settings Epoch AI Inspect; task 2.0.0; scorer verification_code; model=gpt-6-astra_max; run=csK2fe5T8p2R7WgoJUu6bZ; mean accuracy; https://epoch.ai/data/benchmarks.csv	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	95.77% Reported settings Epoch AI Inspect; task 1.0.11; scorer choice; model=gpt-6-astra_max; run=3h8STJpG2VzY9LiBUzwotv; mean accuracy; https://epoch.ai/data/benchmarks.csv	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.	Not reported	Not reported	Not reported	Not reported	84% Reported settings Epoch AI Inspect; task 1.0.4; scorer agent_submitted_next_move_scorer; model=gpt-6-astra_max; run=FA7pM9hKdkgTXmGHptcno7; 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.	Not reported	Not reported	Not reported	Not reported	100% Reported settings Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match; model=gpt-6-astra_max; run=L7kW8yxFKCjVXhxNnt3VTq; 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	Not reported	75.6% Reported settings Epoch AI Inspect; task 1.2.0; scorer simpleqa_scorer; model=gpt-6-astra_max; run=PppwnX7EjXx2SeTcFN8Ujn; mean accuracy; https://epoch.ai/data/benchmarks.csv	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	Not reported	53.54% Reported settings {"checkpoint":"gpt-6-astra","evaluatorModel":"openai/gpt-6-astra","sourceUpdatedOn":"2026-09-10","reasoning_effort":"max","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}	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	Not reported	67.74% Reported settings {"checkpoint":"gpt-6-astra","evaluatorModel":"openai/gpt-6-astra","sourceUpdatedOn":"2026-09-10","reasoning_effort":"max","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}	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	Not reported	39.42% Reported settings {"checkpoint":"gpt-6-astra","evaluatorModel":"openai/gpt-6-astra","sourceUpdatedOn":"2026-09-10","reasoning_effort":"max","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}	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	Not reported	71.7% Reported settings {"checkpoint":"gpt-6-astra","evaluatorModel":"openai/gpt-6-astra","sourceUpdatedOn":"2026-09-10","reasoning_effort":"max","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}	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	Not reported	Not reported	87.27% Reported settings {"checkpoint":"gpt-6-astra","evaluatorModel":"openai/gpt-6-astra","sourceUpdatedOn":"2026-09-10","reasoning_effort":"max","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}	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	Not reported	89.59% Reported settings {"checkpoint":"gpt-6-astra","evaluatorModel":"openai/gpt-6-astra","sourceUpdatedOn":"2026-09-10","reasoning_effort":"max","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":"OpenHands"}	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	Not reported	5.42% Reported settings {"checkpoint":"gpt-6-astra","evaluatorModel":"openai/gpt-6-astra","sourceUpdatedOn":"2026-09-10","reasoning_effort":"max","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}	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-6 Astra effort benchmarks

GPT-6 Astra

Capability score evidence

One configuration, seven capabilities

Agentic

Hard reasoning

Coding

Human pref

Knowledge

Multimodal

Long context