RankingEffort benchmarks

GPT-6.1 Sol

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118 measured results · 5 effort settings · 39 benchmark/harness combinations

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Capability profile

One configuration, seven capabilities

Comparison score · 0–100

AGPT-6.1 Sol · High3 of 7 capabilities supported

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

Agentic
A76.1Supported
Hard reasoning
A64.4Supported
Coding
A87.9Supported
Human pref
Unknown
Knowledge
A68.1Preliminary
Multimodal
A67.3Preliminary
Long context
A65.1Preliminary

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-6.1 Sol · High: 83.1 overall comparison score. Meets the overall evidence requirements.

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

Shared-result disagreement. This aggregate order conflicts with matched benchmark results against 3 other configurations. Different test coverage and opponents affect the fit. Inspect published results before treating the rank as conclusive.

Which sources carry the weight?

Cognition · 42.8% direct comparison weight · independent of the model provider
Artificial Analysis · 32.2% direct comparison weight · independent of the model provider
OpenAI · 25.0% direct comparison weight · provider report

These shares describe the comparisons entering the fit, not fractions of the final score. Source balancing does not prove independence: overlapping sources may remain correlated.

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 2026-09-30.

Both ranks use the same surviving configurations for each removal. The cohort starts with 427 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	11 → 13	Down 2	192 remaining / 235 lost	83.4 (+0.4 points)
ARC Prize	11 → 10	Up 1	427 remaining / 0 lost	85.9 (+2.9 points)
Datacurve	11 → 11	No movement	427 remaining / 0 lost	81.4 (-1.7 points)
LiveCodeBench	11 → 11	No movement	427 remaining / 0 lost	83.1 (-0.0 points)
Scale	11 → 12	Down 1	427 remaining / 0 lost	83.8 (+0.7 points)
Terminal-Bench	11 → 11	No movement	427 remaining / 0 lost	83.0 (-0.1 points)
Cognition	11 → 11	No movement	427 remaining / 0 lost	80.7 (-2.4 points)
LiveBench	11 → 13	Down 2	426 remaining / 1 lost	83.7 (+0.7 points)
SWE-rebench	11 → 12	Down 1	427 remaining / 0 lost	83.0 (-0.1 points)
Epoch AI	11 → 14	Down 3	410 remaining / 17 lost	83.0 (-0.1 points)
Vals AI	11 → 11	No movement	426 remaining / 1 lost	83.1 (+0.0 points)
Provider reports · Anthropic	11 → 11	No movement	427 remaining / 0 lost	83.1 (-0.0 points)
Provider reports · Moonshot AI	11 → 11	No movement	427 remaining / 0 lost	83.1 (-0.0 points)
Provider reports · Meta	11 → 11	No movement	427 remaining / 0 lost	83.0 (-0.0 points)
Provider reports · Mistral	11 → 11	No movement	427 remaining / 0 lost	83.1 (+0.0 points)
Provider reports · OpenAI	11 → 24	Down 13	427 remaining / 0 lost	75.1 (-8.0 points)
All provider reports	11 → 25	Down 14	427 remaining / 0 lost	75.0 (-8.0 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	79.4	-3.7
frontiercode	80.7	-2.4
gdp-pdf	80.7	-2.4
arc-agi	85.2	+2.1
terminal-bench-science	84.2	+1.2
automationbench	84.0	+0.9
enigma-eval	83.5	+0.5
gdpval	83.5	+0.4
mmmu-pro	83.5	+0.4
simpleqa	83.4	+0.3
briefcase	83.4	+0.3
mmlu-pro	83.3	+0.2
swe-atlas-qna	82.8	-0.2
epoch-game-puzzles	82.8	-0.2
ifbench	82.9	-0.2
hle	83.3	+0.2
gpqa	82.9	-0.2
aa-lcr	83.2	+0.2
livebench-instructions	83.2	+0.2
terminal-bench	82.9	-0.1
swe-atlas-test-writing	83.0	-0.1
omniscience	83.2	+0.1
frontiermath	83.0	-0.1
swe-rebench	83.0	-0.1
critpt	83.2	+0.1
multi-swe-bench	83.0	-0.1
vibe-code	83.0	-0.1
livebench-reasoning	83.0	-0.1
livebench-language	83.1	+0.1
apex-agents	83.1	+0.1
tau-bench	83.0	-0.1
vals-code-migration	83.0	-0.1
aime	83.0	-0.0
livecodebench	83.0	-0.0
livebench-coding	83.0	-0.0
vals-excel-modeling	83.0	-0.0
livebench-data	83.0	-0.0
enterprise-ops	83.1	+0.0
analyst-agent	83.1	+0.0
arc-agi-3	83.1	+0.0
vals-legal-research	83.0	-0.0
math500	83.0	-0.0
vals-finance-agent	83.1	+0.0
swe-atlas-refactoring	83.1	-0.0
vals-tax-agent	83.1	-0.0
gmmlu	83.1	-0.0
harvey	83.1	+0.0
itbench	83.1	+0.0
livebench-math	83.1	+0.0
swe-bench-pro	83.1	-0.0

What evidence is missing from the fit?

Across all collected settings for this model: 153 observations, 133 contributing, 0 matched without graph weight and 20 excluded. Counts do not establish rank eligibility.

5 · Benchmark family or source protocol has not been reviewed
5 · 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 · Private user-flagged prompt protocol needs separate review before capability scoring; retained as an exact lower-is-better sourced claim.
4 · Safety failure behavior is not a capability or intelligence score.
1 · Supporting evidence outside the reviewed capability core

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
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 2026-09-30.	1,118.39 Elo Reported settings GPT-6.1 Sol (low); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-low	1,364.77 Elo Reported settings GPT-6.1 Sol (medium); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-medium	1,471.09 Elo Reported settings GPT-6.1 Sol (high); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-high	1,506.81 Elo Reported settings GPT-6.1 Sol (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-xhigh	1,564.21 Elo Reported settings GPT-6.1 Sol (max); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol
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 2026-09-30.	84% Reported settings GPT-6.1 Sol (low); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-low	83.33% Reported settings GPT-6.1 Sol (medium); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-medium	82.33% Reported settings GPT-6.1 Sol (high); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-high	79.67% Reported settings GPT-6.1 Sol (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-xhigh	83% Reported settings GPT-6.1 Sol (max); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol
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 2026-09-30.	52.57% Reported settings GPT-6.1 Sol (low); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-low	62.57% Reported settings GPT-6.1 Sol (medium); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-medium	64.5% Reported settings GPT-6.1 Sol (high); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-high	66.57% Reported settings GPT-6.1 Sol (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-xhigh	64.87% Reported settings GPT-6.1 Sol (max); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol
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 2026-09-30.	24.86% Reported settings GPT-6.1 Sol (low); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-low	27.71% Reported settings GPT-6.1 Sol (medium); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-medium	30% Reported settings GPT-6.1 Sol (high); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-high	31.71% Reported settings GPT-6.1 Sol (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-xhigh	31.71% Reported settings GPT-6.1 Sol (max); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol
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 2026-09-30.	27% Reported settings GPT-6.1 Sol (low); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-low	30% Reported settings GPT-6.1 Sol (medium); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-medium	32% Reported settings GPT-6.1 Sol (high); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-high	31.8% Reported settings GPT-6.1 Sol (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-xhigh	31% Reported settings GPT-6.1 Sol (max); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol
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 1,600 · Higher is better · Evaluation results measured independently by Artificial Analysis Unit: elo. Source collected 2026-09-30.	1,297 Elo Reported settings GPT-6.1 Sol (low); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-low	1,432.94 Elo Reported settings GPT-6.1 Sol (medium); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-medium	1,486.41 Elo Reported settings GPT-6.1 Sol (high); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-high	1,510.4 Elo Reported settings GPT-6.1 Sol (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-xhigh	1,575.09 Elo Reported settings GPT-6.1 Sol (max); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol
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 2026-09-30.	47.36% Reported settings GPT-6.1 Sol (low); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-low	49.86% Reported settings GPT-6.1 Sol (medium); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-medium	51.39% Reported settings GPT-6.1 Sol (high); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-high	52.64% Reported settings GPT-6.1 Sol (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-xhigh	52.92% Reported settings GPT-6.1 Sol (max); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol
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 2026-09-30.	Not reported	Not reported	Not reported	Not reported	33.89% Reported settings GPT-6.1 Sol (max); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol
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 2026-09-30.	83.12% Reported settings GPT-6.1 Sol (low); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-low	83.93% Reported settings GPT-6.1 Sol (medium); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-medium	84.91% Reported settings GPT-6.1 Sol (high); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-high	85.09% Reported settings GPT-6.1 Sol (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-xhigh	85.95% Reported settings GPT-6.1 Sol (max); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol
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 2026-09-30.	37.63 Reported settings GPT-6.1 Sol (low); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-low	39.95 Reported settings GPT-6.1 Sol (medium); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-medium	41.45 Reported settings GPT-6.1 Sol (high); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-high	40.87 Reported settings GPT-6.1 Sol (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-xhigh	41.53 Reported settings GPT-6.1 Sol (max); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol
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 2026-09-30.	58.87% Reported settings GPT-6.1 Sol (low); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-low	60.4% Reported settings GPT-6.1 Sol (medium); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-medium	60.8% Reported settings GPT-6.1 Sol (high); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-high	60.82% Reported settings GPT-6.1 Sol (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-xhigh	62.1% Reported settings GPT-6.1 Sol (max); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol
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 2026-09-30.	53.24% Reported settings GPT-6.1 Sol (low); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-low	53.24% Reported settings GPT-6.1 Sol (medium); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-medium	55.79% Reported settings GPT-6.1 Sol (high); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-high	55.67% Reported settings GPT-6.1 Sol (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-xhigh	54.17% Reported settings GPT-6.1 Sol (max); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol
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 2026-09-30.	Not reported	Not reported	Not reported	Not reported	58.1% Reported settings GPT-6.1 Sol (max); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol
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 2026-09-30.	30.81% Reported settings GPT-6.1 Sol (low); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-low	47.98% Reported settings GPT-6.1 Sol (medium); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-medium	51.52% Reported settings GPT-6.1 Sol (high); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-high	54.04% Reported settings GPT-6.1 Sol (xhigh); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol-xhigh	56.06% Reported settings GPT-6.1 Sol (max); Model source: https://artificialanalysis.ai/models/gpt-6-1-sol
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 2026-09-30.	58.09% 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 0.0013	60.4% 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 0.0027	59.27% 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	60.37% 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 0.004	59.81% 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 0.0013
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 2026-09-30.	45.46% 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 0.002	50.23% 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 0.004	47.98% 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	49.29% 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 0.006	47.57% 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 0.002
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 2026-09-30.	Not reported	Not reported	Not reported	98% Reported settings LiveBench official task evaluation; livebench-2026-06-25-AMPS_Hard; gpt-6.1-sol-xhigh; checkpoint=gpt-6.1-sol	98% Reported settings LiveBench official task evaluation; livebench-2026-06-25-AMPS_Hard; gpt-6.1-sol-max; checkpoint=gpt-6.1-sol
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 2026-09-30.	Not reported	Not reported	Not reported	82.61% Reported settings LiveBench official task evaluation; livebench-2026-06-25-code_completion; gpt-6.1-sol-xhigh; checkpoint=gpt-6.1-sol	80.44% Reported settings LiveBench official task evaluation; livebench-2026-06-25-code_completion; gpt-6.1-sol-max; checkpoint=gpt-6.1-sol
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 2026-09-30.	Not reported	Not reported	Not reported	78.87% Reported settings LiveBench official task evaluation; livebench-2026-06-25-code_generation; gpt-6.1-sol-xhigh; checkpoint=gpt-6.1-sol	80.28% Reported settings LiveBench official task evaluation; livebench-2026-06-25-code_generation; gpt-6.1-sol-max; checkpoint=gpt-6.1-sol
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 2026-09-30.	Not reported	Not reported	Not reported	100% Reported settings LiveBench official task evaluation; livebench-2026-06-25-connections; gpt-6.1-sol-xhigh; checkpoint=gpt-6.1-sol	100% Reported settings LiveBench official task evaluation; livebench-2026-06-25-connections; gpt-6.1-sol-max; checkpoint=gpt-6.1-sol
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 2026-09-30.	Not reported	Not reported	Not reported	91.29% Reported settings LiveBench official task evaluation; livebench-2026-06-25-consecutive_events; gpt-6.1-sol-xhigh; checkpoint=gpt-6.1-sol	90.56% Reported settings LiveBench official task evaluation; livebench-2026-06-25-consecutive_events; gpt-6.1-sol-max; checkpoint=gpt-6.1-sol
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 2026-09-30.	Not reported	Not reported	Not reported	99% Reported settings LiveBench official task evaluation; livebench-2026-06-25-integrals_with_game; gpt-6.1-sol-xhigh; checkpoint=gpt-6.1-sol	100% Reported settings LiveBench official task evaluation; livebench-2026-06-25-integrals_with_game; gpt-6.1-sol-max; checkpoint=gpt-6.1-sol
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 2026-09-30.	Not reported	Not reported	Not reported	63.64% Reported settings LiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-javascript; gpt-6.1-sol-xhigh; checkpoint=gpt-6.1-sol	63.64% Reported settings LiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-javascript; gpt-6.1-sol-max; checkpoint=gpt-6.1-sol
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 2026-09-30.	Not reported	Not reported	Not reported	82% Reported settings LiveBench official task evaluation; livebench-2026-06-25-logic_with_navigation; gpt-6.1-sol-xhigh; checkpoint=gpt-6.1-sol	86% Reported settings LiveBench official task evaluation; livebench-2026-06-25-logic_with_navigation; gpt-6.1-sol-max; checkpoint=gpt-6.1-sol
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 2026-09-30.	Not reported	Not reported	Not reported	97.06% Reported settings LiveBench official task evaluation; livebench-2026-06-25-math_comp; gpt-6.1-sol-xhigh; checkpoint=gpt-6.1-sol	97.06% Reported settings LiveBench official task evaluation; livebench-2026-06-25-math_comp; gpt-6.1-sol-max; checkpoint=gpt-6.1-sol

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 · 8,147 results across 245 models · Collected 2026-09-30

GPT-6.1 Sol

Compare with

One configuration, seven capabilities

Agentic

Hard reasoning

Coding

Human pref

Knowledge

Multimodal

Long context

Capability score evidence

Benchmark results