RankingEffort benchmarks
Claude Fable 5 · High
100 measured results · 6 effort settings · 79 benchmark/harness combinations
Change model
Capability profile
One configuration, seven capabilities
- AClaude Fable 5 · High2 of 7 capabilities supported
Gaps are unknown, not zero. Hollow points are preliminary.
Agentic
UnknownHard reasoning
A76.5SupportedCoding
A80.7SupportedHuman pref
UnknownKnowledge
UnknownMultimodal
UnknownLong context
Unknown
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
Claude Fable 5 · High: 79.7 overall comparison score. Meets the overall evidence requirements.
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 · 17.9% direct comparison weight · independent of the model provider
- SWE-rebench · 16.9% direct comparison weight · independent of the model provider
- ARC Prize · 16.1% direct comparison weight · independent of the model provider
- Scale · 13.6% direct comparison weight · independent of the model provider
- Epoch AI · 12.6% direct comparison weight · independent of the model provider
- Terminal-Bench · 12.2% direct comparison weight · independent of the model provider
- Datacurve · 10.5% direct comparison weight · independent of the model provider
Which benchmark families carry the weight?
- FrontierCode · 17.9% direct comparison weight
- swe-rebench · 16.9% direct comparison weight
- ARC-AGI · 16.1% direct comparison weight
- enigma-eval · 13.6% direct comparison weight
- Terminal-Bench · 12.2% direct comparison weight
- Other families (3) · 23.2% 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.
| Removed source | Rank before → after | Rank movement | Cohort remaining / lost support | Score after (change) |
|---|---|---|---|---|
| Artificial Analysis | 20 → 24 | Down 4 | 203 remaining / 241 lost | 78.9 |
| ARC Prize | 20 → 23 | Down 3 | 444 remaining / 0 lost | 81.0 |
| Datacurve | 20 → 20 | No movement | 444 remaining / 0 lost | 78.8 |
| LiveCodeBench | 20 → 20 | No movement | 444 remaining / 0 lost | 79.7 |
| Scale | 20 → 28 | Down 8 | 444 remaining / 0 lost | 76.9 |
| Terminal-Bench | 20 → 23 | Down 3 | 444 remaining / 0 lost | 78.7 |
| Cognition | 20 → 23 | Down 3 | 444 remaining / 0 lost | 75.9 |
| LiveBench | 20 → 23 | Down 3 | 443 remaining / 1 lost | 80.1 |
| SWE-rebench | 20 → 14 | Up 6 | 444 remaining / 0 lost | 84.4 |
| Epoch AI | 20 → 16 | Up 4 | 431 remaining / 13 lost | 83.9 |
| Vals AI | 20 → 20 | No movement | 443 remaining / 1 lost | 79.2 |
| Provider reports · Anthropic | 20 → 20 | No movement | 444 remaining / 0 lost | 79.7 |
| Provider reports · Moonshot AI | 20 → 20 | No movement | 444 remaining / 0 lost | 79.8 |
| Provider reports · Meta | 20 → 20 | No movement | 444 remaining / 0 lost | 79.7 |
| Provider reports · Mistral | 20 → 20 | No movement | 444 remaining / 0 lost | 79.7 |
| Provider reports · OpenAI | 20 → 20 | No movement | 444 remaining / 0 lost | 79.7 |
| All provider reports | 20 → 20 | No movement | 444 remaining / 0 lost | 79.6 |
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 |
|---|---|---|
| swe-rebench | 84.4 | +4.7 |
| frontiercode | 75.9 | -3.9 |
| enigma-eval | 76.5 | -3.2 |
| gpqa | 82.7 | +2.9 |
| aime | 77.8 | -1.9 |
| arc-agi | 81.0 | +1.2 |
| terminal-bench | 78.7 | -1.0 |
| deepswe | 78.8 | -0.9 |
| arc-agi-3 | 79.2 | -0.5 |
| epoch-game-puzzles | 79.3 | -0.4 |
| frontiermath | 79.4 | -0.3 |
| mmmu-pro | 80.0 | +0.3 |
| hle | 80.0 | +0.3 |
| gdp-pdf | 79.9 | +0.1 |
| ifbench | 79.6 | -0.1 |
| critpt | 79.9 | +0.1 |
| tau-bench | 79.6 | -0.1 |
| swe-atlas-test-writing | 79.9 | +0.1 |
| livebench-instructions | 79.9 | +0.1 |
| swe-atlas-qna | 79.6 | -0.1 |
| livebench-coding | 79.6 | -0.1 |
| mmlu-pro | 79.8 | +0.1 |
| briefcase | 79.7 | -0.1 |
| livebench-data | 79.8 | +0.1 |
| multi-swe-bench | 79.7 | -0.1 |
| simpleqa | 79.8 | +0.1 |
| omniscience | 79.8 | +0.1 |
| livebench-language | 79.8 | +0.0 |
| livebench-reasoning | 79.7 | -0.0 |
| swe-atlas-refactoring | 79.7 | -0.0 |
| vals-legal-research | 79.7 | -0.0 |
| vals-tax-agent | 79.7 | -0.0 |
| terminal-bench-science | 79.7 | -0.0 |
| aa-lcr | 79.8 | +0.0 |
| automationbench | 79.8 | +0.0 |
| apex-agents | 79.8 | +0.0 |
| harvey | 79.8 | +0.0 |
| vals-excel-modeling | 79.7 | -0.0 |
| livebench-math | 79.7 | -0.0 |
| analyst-agent | 79.7 | -0.0 |
| vibe-code | 79.7 | -0.0 |
| vals-finance-agent | 79.7 | -0.0 |
| vals-code-migration | 79.7 | -0.0 |
| swe-bench-pro | 79.7 | -0.0 |
| itbench | 79.7 | +0.0 |
| gdpval | 79.7 | -0.0 |
| livecodebench | 79.7 | -0.0 |
| gmmlu | 79.7 | +0.0 |
| math500 | 79.7 | -0.0 |
| enterprise-ops | 79.7 | -0.0 |
What evidence is missing from the fit?
Across all collected settings for this model: 288 observations, 91 contributing, 2 matched without graph weight and 195 excluded. Counts do not establish rank eligibility.
- 6 · Benchmark family or source protocol has not been reviewed
- 1 · 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
- 2 · Source discloses an Opus 4.8 refusal fallback; mixed checkpoint result excluded from ranking
- 4 · Evaluator has not been reviewed for independent admission
- 1 · The task-summary mean 47.20200% differs from the published headline mean@5 46.96449%; the headline score is retained.
- 36 · No reviewed effort for this catalog observation; any separately collected effort measurement is counted separately
- 5 · Narrow specialist biological, medical or security evaluation; preserved as raw evidence outside general capability scoring.
- 41 · Supporting evidence outside the reviewed capability core
- 1 · Historical provider claim; secondary and superseded for current FrontierSWE comparisons by the independent Proximal FrontierSWE v2 mean@5 board at https://www.frontierswe.com/. Version-unspecified claims are not v2 results. Excluded from weighted Overall.
- 3 · No matched opponent in this evaluation unit
- 1 · Secondary GDPval-AA v2 leaderboard report; the original evaluator already supplies this exact configuration. Reprinted or rerated board snapshots are not additional evaluation evidence.
- 9 · The source labels this column Fable-5 (w/ fallback); it does not establish standalone Fable 5 performance. Retained as published evidence, excluded from comparable ranking inputs.
- 15 · No matched, identified effort unit; duplicates and unnamed comparators do not add evidence
- 7 · Kimi K3 Evaluation Details cites Artificial Analysis; retain as published context, not a new Moonshot comparison.
- 1 · Kimi K3 Evaluation Details cites GLM release blog or Vals AI, per model; retain as published context, not a new Moonshot comparison.
- 1 · Kimi K3 Evaluation Details cites GLM release blog, Artificial Analysis or OpenAI, per model; retain as published context, not a new Moonshot comparison.
- 1 · Kimi K3 Evaluation Details cites FrontierSWE leaderboard; retain as published context, not a new Moonshot comparison. Historical provider claim; secondary and superseded for current FrontierSWE comparisons by the independent Proximal FrontierSWE v2 mean@5 board at https://www.frontierswe.com/. Version-unspecified claims are not v2 results. Excluded from weighted Overall.
- 1 · Kimi K3 Evaluation Details cites Anthropic or OpenAI release reports; retain as published context, not a new Moonshot comparison.
- 1 · Kimi K3 Evaluation Details cites official Agents Last Exam leaderboard; retain as published context, not a new Moonshot comparison.
- 1 · Kimi K3 Evaluation Details cites Artificial Analysis / APEX-Agents leaderboard; retain as published context, not a new Moonshot comparison.
- 3 · Kimi K3 Evaluation Details cites Vals AI; retain as published context, not a new Moonshot comparison.
- 8 · Composite index or publisher-specific internal evaluation lacks a stable general-capability comparison unit.
- 2 · The Qwen card cites an external leaderboard or release report for this comparator; it is not a new Qwen evaluation. The source states that Fable 5 results may involve fallback execution; an exact configuration is not established.
- 23 · The source states that Fable 5 results may involve fallback execution; an exact configuration is not established.
- 1 · The Qwen card cites an external leaderboard or release report for this comparator; it is not a new Qwen evaluation. The source states that Fable 5 results may involve fallback execution; an exact configuration is not established. Historical provider claim; secondary and superseded for current FrontierSWE comparisons by the independent Proximal FrontierSWE v2 mean@5 board at https://www.frontierswe.com/. Version-unspecified claims are not v2 results. Excluded from weighted Overall.
- 1 · Composite index or publisher-specific internal evaluation lacks a stable general-capability comparison unit. Composite index excluded to avoid double counting its ingredients.
- 14 · The source column includes fallback execution without a documented exact effort.
- 1 · The GLM card attributes this evaluation to Proximal; it is not a new Z.ai comparison. The source column includes fallback execution without a documented exact effort. Historical provider claim; secondary and superseded for current FrontierSWE comparisons by the independent Proximal FrontierSWE v2 mean@5 board at https://www.frontierswe.com/. Version-unspecified claims are not v2 results. Excluded from weighted Overall.
- 1 · The GLM card attributes this evaluation to Artificial Analysis; it is not a new Z.ai comparison. The source column includes fallback execution without a documented exact effort.
- 3 · Legacy self-report lacks a reviewed comparison configuration
Benchmark results
| Benchmark / source | Low | Medium | High | XHigh | Max | Unspecified |
|---|---|---|---|---|---|---|
AA-AnalystAgentBenchmark detailsShare 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 2026-10-18. | Not reported | Not reported | Not reported | Not reported | 48.75% Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
AA-Briefcase EloBenchmark detailsAA-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. | Not reported | Not reported | Not reported | Not reported | 1,539.25 Elo Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
AA-LCR v1.1Benchmark detailsIndependently 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 | 82.33% Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
AutomationBench-AABenchmark detailsShare 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. | Not reported | Not reported | Not reported | Not reported | 54.07% Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
CritPtBenchmark detailsBenchmark 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. | Not reported | Not reported | Not reported | Not reported | 28.57% Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
EnterpriseOps-Gym-AABenchmark detailsOverall 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 | 51.12% Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
GDP.pdf: All-pass RateBenchmark detailsShare 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. | Not reported | Not reported | Not reported | Not reported | 24% Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
GDPval-AA v2.1 LeaderboardBenchmark detailsElo 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. | Not reported | Not reported | Not reported | Not reported | 1,609.83 Elo Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
GPQA DiamondBenchmark detailsIndependently 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 | 92.63% Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
Humanity's Last ExamBenchmark detailsIndependently 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 | 55.47% Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
IFBenchBenchmark detailsIndependently 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 | 63.47% Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
MLCR-AABenchmark detailsShare 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. | Not reported | Not reported | Not reported | Not reported | 64.44% Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
AA-Omniscience IndexBenchmark detailsAA-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. | Not reported | Not reported | Not reported | Not reported | 43.3 Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
AA-Omniscience AccuracyBenchmark detailsAA-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. | Not reported | Not reported | Not reported | Not reported | 65.35% Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
SciCodeBenchmark detailsBenchmark 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. | Not reported | Not reported | Not reported | Not reported | 61% Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
𝜏²-Bench TelecomBenchmark detailsIndependently 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 | 98.54% Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
𝜏³-BankingBenchmark detailsBenchmark developed by Sierra 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 | 38.14% Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
Terminal-Bench HardBenchmark detailsIndependently 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 | 62.88% Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
Terminal-Bench v2.1Benchmark detailsBenchmark 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. | Not reported | Not reported | Not reported | Not reported | 84.64% Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
Terminal-Bench v4.0Benchmark detailsBenchmark 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. | Not reported | Not reported | Not reported | Not reported | 42.42% Reported settingsClaude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5 | Not reported |
ARC-AGI-2Benchmark detailsOriginal public board. Configuration and task coverage may differ; inspect source. Unit: percent. Source collected 2026-10-18. | 76.81% Reported settingsClaude Fable 5 (Low); Source model ID: anthropic-claude-fable-5-low; 120 tasks | 82.5% Reported settingsClaude Fable 5 (Medium); Source model ID: anthropic-claude-fable-5-medium; 120 tasks | 87.5% Reported settingsClaude Fable 5 (High); Source model ID: anthropic-claude-fable-5-high; 120 tasks | 88.33% Reported settingsClaude Fable 5 (XHigh); Source model ID: anthropic-claude-fable-5-xhigh; 120 tasks | 89.17% Reported settingsClaude Fable 5 (Max); Source model ID: anthropic-claude-fable-5-max; 120 tasks | Not reported |
DeepSWE v1.1Benchmark detailsOriginal public board. Configuration and task coverage may differ; inspect source. Unit: percent. Source collected 2026-10-18. | 59.6% Reported settingsclaude-fable-5; Reported effort: low; 113 unique tasks; 433 attempts; 4 runs | 65.4% Reported settingsclaude-fable-5; Reported effort: medium; 113 unique tasks; 436 attempts; 4 runs | 68.6% Reported settingsclaude-fable-5; Reported effort: high; 113 unique tasks; 430 attempts; 4 runs | 69.9% Reported settingsclaude-fable-5; Reported effort: xhigh; 113 unique tasks; 452 attempts; 4 runs | 69.7% Reported settingsclaude-fable-5; Reported effort: max; 113 unique tasks; 436 attempts; 4 runs | Not reported |
Terminal-Bench 2.1Benchmark detailsOriginal public board. Configuration and task coverage may differ; inspect source. Unit: percent. Source collected 2026-10-18. | Not reported | Not reported | Not reported | 83.82% Reported settingsFable 5; Reported effort: xhigh; 445 trials; recorded 2026-06-09 | Not reported | Not reported |
Terminal-Bench 2.1Benchmark detailsOriginal public board. Configuration and task coverage may differ; inspect source. Unit: percent. Source collected 2026-10-18. | Not reported | Not reported | 80.45% Reported settingsFable 5; Reported effort: high; 445 trials; recorded 2026-06-09 | Not reported | Not reported | Not reported |
FrontierCode 1.1 · extended-claude-codeBenchmark detailsFrontierCode 1.1; claude-code. Open each result for its exact effort, task subset, metric and protocol details. Unit: percent. Source collected 2026-10-18. | 60.8% Reported settingsFrontierCode 1.1; extended; 150 tasks; claude-code; source effort low; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0 | 62.79% Reported settingsFrontierCode 1.1; extended; 150 tasks; claude-code; source effort medium; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0.002 | 64.25% Reported settingsFrontierCode 1.1; extended; 150 tasks; claude-code; source effort high; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0.0013 | 64.94% Reported settingsFrontierCode 1.1; extended; 150 tasks; claude-code; source effort xhigh; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0.002 | 63.63% Reported settingsFrontierCode 1.1; extended; 150 tasks; claude-code; source effort max; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0.0013 | 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