RankingEffort benchmarks
Claude Fable 5.1 effort benchmarks
Compare measured Low, Medium, High and other settings. Every number keeps its source.
Claude Fable 5.1
135 measured results · 5 reported effort labels · 63 benchmark/harness combinations. Model evidence and sources →
Capability score evidence
Claude Fable 5.1 · Max: 85.8 overall comparison score. Meets the overall evidence requirements.
Which sources carry the weight?
- Anthropic · 24.8% direct comparison weight · provider report
- Cognition · 11.4% direct comparison weight · independent
- LiveBench · 11.0% direct comparison weight · independent
- Epoch AI · 11.0% direct comparison weight · independent
- Terminal-Bench · 10.9% direct comparison weight · independent
- Vals AI · 10.8% direct comparison weight · independent
- ARC Prize · 10.3% direct comparison weight · independent
- Artificial Analysis · 9.8% 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 | 85.8 | -0.0 |
| ARC Prize | 86.2 | +0.4 |
| Datacurve | 84.1 | -1.7 |
| LiveCodeBench | 85.8 | -0.0 |
| Scale | 86.1 | +0.3 |
| Terminal-Bench | 83.3 | -2.4 |
| Cognition | 86.7 | +0.9 |
| LiveBench | 87.9 | +2.1 |
| SWE-rebench | 85.6 | -0.2 |
| Epoch AI | 86.5 | +0.8 |
| Vals AI | 85.2 | -0.5 |
| Provider reports · Anthropic | 79.0 | -6.7 |
| Provider reports · Moonshot AI | 85.7 | -0.1 |
| Provider reports · Meta | 85.7 | -0.1 |
| Provider reports · Mistral | 85.8 | +0.0 |
| All provider reports | 78.8 | -6.9 |
Every benchmark family
| Removed evidence | Recomputed score | Change |
|---|---|---|
| terminal-bench | 83.4 | -2.4 |
| deepswe | 84.1 | -1.6 |
| frontiercode | 86.7 | +0.9 |
| harvey | 86.4 | +0.6 |
| livebench-data | 86.2 | +0.5 |
| livebench-instructions | 86.2 | +0.4 |
| arc-agi | 86.1 | +0.4 |
| multi-swe-bench | 85.4 | -0.3 |
| livebench-coding | 85.4 | -0.3 |
| mmmu-pro | 86.1 | +0.3 |
| vals-legal-research | 85.5 | -0.3 |
| vals-excel-modeling | 85.5 | -0.3 |
| livebench-math | 85.5 | -0.3 |
| gpqa | 86.0 | +0.2 |
| frontiermath | 85.5 | -0.2 |
| swe-rebench | 85.6 | -0.2 |
| arc-agi-3 | 85.6 | -0.2 |
| simpleqa | 85.9 | +0.2 |
| vibe-code | 85.6 | -0.2 |
| aime | 85.6 | -0.1 |
| swe-atlas-test-writing | 85.6 | -0.1 |
| vals-finance-agent | 85.9 | +0.1 |
| swe-atlas-qna | 85.6 | -0.1 |
| gdp-pdf | 85.9 | +0.1 |
| tau-bench | 85.7 | -0.1 |
| ifbench | 85.7 | -0.1 |
| vals-code-migration | 85.7 | -0.1 |
| critpt | 85.8 | +0.1 |
| omniscience | 85.8 | +0.1 |
| mmlu-pro | 85.7 | -0.1 |
| analyst-agent | 85.7 | -0.1 |
| epoch-game-puzzles | 85.8 | +0.1 |
| aa-lcr | 85.7 | -0.0 |
| briefcase | 85.7 | -0.0 |
| hle | 85.8 | +0.0 |
| enigma-eval | 85.8 | +0.0 |
| scicode | 85.8 | +0.0 |
| itbench | 85.8 | -0.0 |
| apex-agents | 85.8 | +0.0 |
| automationbench | 85.8 | +0.0 |
| swe-atlas-refactoring | 85.8 | -0.0 |
| gdpval | 85.8 | -0.0 |
| enterprise-ops | 85.8 | -0.0 |
| livecodebench | 85.8 | +0.0 |
| math500 | 85.8 | +0.0 |
| gmmlu | 85.8 | +0.0 |
| livebench-language | 85.8 | +0.0 |
| livebench-reasoning | 85.8 | +0.0 |
| swe-bench-pro | 85.8 | +0.0 |
What evidence is missing from the fit?
Across all collected settings for this model: 203 observations, 134 contributing, 2 matched without graph weight and 67 excluded. Counts do not establish rank eligibility.
- 5 · Benchmark family or source protocol has not been reviewed
- 2 · Starred protocol annotation requires row-specific review before ranking.
- 4 · No matched, identified effort unit; duplicates and unnamed comparators do not add evidence
- 2 · No matched opponent in this evaluation unit
- 29 · Supporting evidence outside the reviewed capability core
- 16 · No reviewed effort for this catalog observation; any separately collected effort measurement is counted separately
- 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.
- 4 · System card section8.15.5 confirms11of324trials were partly or fully completed by Opus4.8fallback; actual mixed-model execution, not merely available fallback.
- 4 · Legacy self-report lacks a reviewed comparison configuration
Capability profile
One configuration, seven capabilities
- AClaude Fable 5.1 · Max4 of 7 capabilities supported
Gaps are unknown, not zero. Hollow points are preliminary.
Agentic
A79.6SupportedHard reasoning
A76.4SupportedCoding
A89.7SupportedHuman pref
UnknownKnowledge
A77.9SupportedMultimodal
UnknownLong context
A85.7Preliminary
Each profile belongs to the named configuration. Capability scores use a shared panel for all axes, distinct from the overall ranking panel; they are not accuracy percentages or direct head-to-head wins.
Compare this configuration →Explore the model evidence profile →
| Benchmark / source | Low | Medium | High | XHigh | Max |
|---|---|---|---|---|---|
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 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 57.5% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1 |
AA-Briefcase EloBenchmark detailsAA-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. | 1,483.73 Elo Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Low Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-low | 1,531.2 Elo Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-medium | 1,578.19 Elo Reported settingsClaude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-high | 1,650.01 Elo Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-xhigh | 1,661.82 Elo Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1 |
AA-LCR v1.1Benchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | 82.33% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Low Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-low | 84.67% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-medium | 83.67% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-high | 83% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-xhigh | 85.33% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1 |
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 2026-09-12. | 52.24% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Low Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-low | 54.66% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-medium | 55.32% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-high | 57.77% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-xhigh | 59.38% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1 |
CritPtBenchmark detailsBenchmark 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. | 27.71% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Low Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-low | 29.14% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-medium | 30.29% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-high | 31.14% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-xhigh | 29.71% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1 |
GDP.pdf: All-passBenchmark detailsShare of attempts where every atomic criterion passed · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | 28% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Low Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-low | 26.8% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-medium | 26.8% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-high | 26.2% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-xhigh | 26.2% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1 |
GDPval-AA v2 LeaderboardBenchmark detailsElo 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. | 1,503.72 Elo Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Low Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-low | 1,579.31 Elo Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-medium | 1,649.77 Elo Reported settingsClaude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-high | 1,745.29 Elo Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-xhigh | 1,763.64 Elo Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1 |
GPQA DiamondBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | 88.08% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Low Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-low | 88.59% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-medium | 90.61% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-high | 93.43% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-xhigh | 93.74% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1 |
Harvey LAB-AA: Criterion Pass RateBenchmark detailsShare of atomic pass/fail rubric criteria the deliverables satisfy, graded by a single LLM judge · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | 92.33% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Low Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-low | 92.65% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-medium | 92.95% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-high | 93.27% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-xhigh | 93.02% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1 |
Humanity's Last ExamBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | 48.89% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Low Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-low | 53.8% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-medium | 55.93% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-high | 58.71% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-xhigh | 59.13% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1 |
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 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 71.11% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1 |
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 2026-09-12. | 34.13 Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Low Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-low | 37.6 Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-medium | 40.8 Reported settingsClaude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-high | 42.38 Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-xhigh | 43.45 Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1 |
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 2026-09-12. | 60.23% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Low Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-low | 63.1% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-medium | 64.93% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-high | 66.22% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-xhigh | 67.23% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1 |
SciCodeBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | 56.71% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Low Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-low | 56.37% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-medium | 58.68% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-high | 60.88% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-xhigh | 63.08% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1 |
𝜏³-BankingBenchmark detailsBenchmark developed by Sierra Research · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | 38.97% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Low Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-low | 41.03% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-medium | 43.09% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-high | 45.77% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-xhigh | 47.22% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1 |
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 2026-09-12. | 85.02% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Low Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-low | 88.01% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-medium | 89.89% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-high | 91.01% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-xhigh | 91.39% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1 |
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 2026-09-12. | 40.4% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Low Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-low | 44.95% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Medium Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-medium | 52.02% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-high | 55.05% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1-xhigh | 52.02% Reported settingsClaude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5-1 |
ARC-AGI-2Benchmark detailsOriginal public board. Configuration and task coverage may differ; inspect source. Unit: percent. Source collected 2026-09-12. | 78.33% Reported settingsClaude Fable 5.1 (Low); Source model ID: anthropic-claude-fable-5-1-low; 120 tasks | 86.25% Reported settingsClaude Fable 5.1 (Medium); Source model ID: anthropic-claude-fable-5-1-medium; 120 tasks | 88.75% Reported settingsClaude Fable 5.1 (High); Source model ID: anthropic-claude-fable-5-1-high; 120 tasks | 90% Reported settingsClaude Fable 5.1 (XHigh); Source model ID: anthropic-claude-fable-5-1-xhigh; 120 tasks | 90% Reported settingsClaude Fable 5.1 (Max); Source model ID: anthropic-claude-fable-5-1-max; 120 tasks |
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 2026-09-12. | 61.62% 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 | 63.6% 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 | 62.68% 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 | 61.35% 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 | 62.03% 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 |
FrontierCode 1.1 · main-claude-codeBenchmark detailsFrontierCode 1.1; claude-code. Open each result for its exact effort, task subset, metric and protocol details. Unit: percent. Source collected 2026-09-12. | 49.82% Reported settingsFrontierCode 1.1; main; 100 tasks; claude-code; source effort low; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0 | 50.91% Reported settingsFrontierCode 1.1; main; 100 tasks; claude-code; source effort medium; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0 | 50.34% Reported settingsFrontierCode 1.1; main; 100 tasks; claude-code; source effort high; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0 | 48.73% Reported settingsFrontierCode 1.1; main; 100 tasks; claude-code; source effort xhigh; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0 | 50.28% Reported settingsFrontierCode 1.1; main; 100 tasks; claude-code; source effort max; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0 |
Terminal-Bench 4.0 · claudecodeBenchmark detailsTerminal-Bench 4.0; Claude Code. 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 | 57.9% Reported settingsTerminal-Bench 4.0.0; 66 tasks; Claude Code; effort max; reported margin ±3.8 percentage points, confidence level unspecified; release date 2026-09-01; board checked 2026-09-07 |
HLE · text only · Scale official evaluationBenchmark detailsScale text-only public HLE subset; shares the full HLE family budget; automatic answer judging. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | 46.8% Reported settingsScale text-only public HLE subset; shares the full HLE family budget; automatic answer judging.; published row 2026-09-03T18:19:45.000Z; reported margin ±2.1 percentage points; Potential contamination warning: This model was evaluated after the public release of HLE, allowing model builder access to the prompts and solutions. | Not reported |
HLE · full · Scale official evaluationBenchmark detailsScale full public HLE; 2,500 questions; automatic answer judging; temperature 0 when configurable. Public-set contamination caveats retained per result. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | 46.5% Reported settingsScale full public HLE; 2,500 questions; automatic answer judging; temperature 0 when configurable. Public-set contamination caveats retained per result.; published row 2026-09-03T18:22:21.000Z; reported margin ±2 percentage points; Potential contamination warning: This model was evaluated after the public release of HLE, allowing model builder access to the prompts and solutions. | Not reported |
SWE Atlas · QnA · claude codeBenchmark details124 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 | 59.95% Reported settings124 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 2026-03-02T20:57:11.000Z; reported margin ±4.85 percentage points; No contamination annotation reported (not proof of absence) Starred protocol annotation requires row-specific review before ranking. | Not reported |
SWE Atlas · Refactoring · claude codeBenchmark details70 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 | 56.67% Reported settings70 refactoring tasks across 10 repositories; behavior preservation and task-specific grading; source-reported agent harness.; published row 2026-09-02T21:52:32.000Z; reported margin ±6.52 percentage points; No contamination annotation reported (not proof of absence) | Not reported |
SWE Atlas · Test Writing · claude codeBenchmark details90 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 | 67.04% Reported settings90 test-writing tasks; execution, mutation checks and rubric judging; source-reported agent harness. Repositories drawn from SWE-bench Pro; distinct tasks.; published row 2026-09-02T19:02:52.000Z; reported margin ±5.33 percentage points; No contamination annotation reported (not proof of absence) Starred protocol annotation requires row-specific review before ranking. | Not reported |
LiveBench · AMPS Hard · 2026-06-25Benchmark detailsLiveBench 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 | 99% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-AMPS_Hard; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · code completion · 2026-06-25Benchmark detailsLiveBench 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 | 82.61% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-code_completion; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · code generation · 2026-06-25Benchmark detailsLiveBench 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 | 90.14% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-code_generation; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · connections · 2026-06-25Benchmark detailsLiveBench 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 | 99.33% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-connections; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · consecutive events · 2026-06-25Benchmark detailsLiveBench 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 settingsLiveBench official task evaluation; livebench-2026-06-25-consecutive_events; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · integrals with game · 2026-06-25Benchmark detailsLiveBench 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 | 99% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-integrals_with_game; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · javascript · 2026-06-25Benchmark detailsLiveBench 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 | 68.18% Reported settingsLiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-javascript; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · logic with navigation · 2026-06-25Benchmark detailsLiveBench 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% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-logic_with_navigation; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · math comp · 2026-06-25Benchmark detailsLiveBench 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 settingsLiveBench official task evaluation; livebench-2026-06-25-math_comp; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · olympiad · 2026-06-25Benchmark detailsLiveBench 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 | 92.97% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-olympiad; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · paraphrase · 2026-06-25Benchmark detailsLiveBench 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 | 71.52% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-paraphrase; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · plot unscrambling · 2026-06-25Benchmark detailsLiveBench 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 | 75.17% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-plot_unscrambling; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · python · 2026-06-25Benchmark detailsLiveBench 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% Reported settingsLiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-python; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · simplify · 2026-06-25Benchmark detailsLiveBench 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 | 70.17% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-simplify; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · spatial · 2026-06-25Benchmark detailsLiveBench 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 settingsLiveBench official task evaluation; livebench-2026-06-25-spatial; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · story generation · 2026-06-25Benchmark detailsLiveBench 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 | 78.1% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-story_generation; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · summarize · 2026-06-25Benchmark detailsLiveBench 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 | 72.17% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-summarize; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · tablejoin · 2026-06-25Benchmark detailsLiveBench 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 | 56.15% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-tablejoin; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · tablereformat · 2026-06-25Benchmark detailsLiveBench 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 | 94.12% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-tablereformat; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · theory of mind · 2026-06-25Benchmark detailsLiveBench 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 | 80.77% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-theory_of_mind; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · typescript · 2026-06-25Benchmark detailsLiveBench 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 | 60% Reported settingsLiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-typescript; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · typos · 2026-06-25Benchmark detailsLiveBench 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 | 94% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-typos; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
LiveBench · zebra puzzle · 2026-06-25Benchmark detailsLiveBench 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 settingsLiveBench official task evaluation; livebench-2026-06-25-zebra_puzzle; claude-fable-5-1-max-effort; checkpoint=claude-fable-5-1 |
Epoch · Chess Puzzles · v1.1.6Benchmark detailsEpoch 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 | 47% Reported settingsEpoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match; model=claude-fable-5-1_max; run=EEGf5SDiF8jXB6NX7eR6Sa; mean accuracy; https://epoch.ai/data/benchmarks.csv |
Epoch · FrontierMath Tier 4 · v2.0.0Benchmark detailsEpoch 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 | 87.8% Reported settingsEpoch AI Inspect; task 2.0.0; scorer verification_code; model=claude-fable-5-1_max; run=T56N3X4KLA3xz7tf5aCMGb; mean accuracy; https://epoch.ai/data/benchmarks.csv |
Epoch · FrontierMath Tiers 1–3 · v2.0.0Benchmark detailsEpoch 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 | 90.18% Reported settingsEpoch AI Inspect; task 2.0.0; scorer verification_code; model=claude-fable-5-1_max; run=g7dXwZH2tWvqLg3X5idGs2; mean accuracy; https://epoch.ai/data/benchmarks.csv |
Epoch · Mystery Game Puzzles · v1.0.4 · Tool submissionBenchmark detailsEpoch 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 | 58% Reported settingsEpoch AI Inspect; task 1.0.4; scorer agent_submitted_next_move_scorer; model=claude-fable-5-1_max; run=dBHxnnTzLGz3nHis5LET6t; mean accuracy; https://epoch.ai/data/benchmarks.csv |
Epoch · OTIS Mock AIME 2024-2025 · v1.1.6Benchmark detailsEpoch 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 settingsEpoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match; model=claude-fable-5-1_max; run=mRAASXsUuoJmc2oR5G89zR; mean accuracy; https://epoch.ai/data/benchmarks.csv |
Epoch · SimpleQA Verified · v1.2.0Benchmark detailsEpoch 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 | 70.8% Reported settingsEpoch AI Inspect; task 1.2.0; scorer simpleqa_scorer; model=claude-fable-5-1_max; run=ExyL3GN8s34tizrXV3VmS3; mean accuracy; https://epoch.ai/data/benchmarks.csv |
Vals AI · Finance Agent v2Benchmark detailsOverall 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 | 58.88% Reported settings{"checkpoint":"claude-fable-5-1","evaluatorModel":"anthropic/claude-fable-5-1","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":"max","reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"Anthropic","harness":null} |
Vals AI · Code Migration v1Benchmark detailsHidden 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 | 54.61% Reported settings{"checkpoint":"claude-fable-5-1","evaluatorModel":"anthropic/claude-fable-5-1","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":"max","reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"Anthropic","harness":null} |
Vals AI · Legal Research Bench v1Benchmark detailsAll-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 | 55.29% Reported settings{"checkpoint":"claude-fable-5-1","evaluatorModel":"anthropic/claude-fable-5-1","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":"max","reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"Anthropic","harness":null} |
Vals AI · Excel Modeling Benchmark v1Benchmark detailsMean 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 | 76.67% Reported settings{"checkpoint":"claude-fable-5-1","evaluatorModel":"anthropic/claude-fable-5-1","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":"max","reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"Anthropic","harness":null} |
Vals AI · MMLU-Pro v1Benchmark detailsMean accuracy across 14 subjects under Vals five-shot prompting. Subject splits share one family and are not additional votes. Vals labels this benchmark archived; it is historical corroboration, not ongoing frontier evaluation. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 92.38% Reported settings{"checkpoint":"claude-fable-5-1","evaluatorModel":"anthropic/claude-fable-5-1","sourceUpdatedOn":"2026-09-01","reasoning_effort":null,"compute_effort":"max","reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"Anthropic","harness":null} |
Vals AI · Terminal-Bench 2.1Benchmark detailsOverall 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 | 85.02% Reported settings{"checkpoint":"claude-fable-5-1","evaluatorModel":"anthropic/claude-fable-5-1","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":"high","reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"Anthropic","harness":null} | Not reported | Not reported |
Vals AI · Vibe Code Bench v1.1Benchmark detailsMean 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 | 90.26% Reported settings{"checkpoint":"claude-fable-5-1","evaluatorModel":"anthropic/claude-fable-5-1","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":"max","reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"Anthropic","harness":"OpenHands"} |
Vals AI · Harvey Legal Agent Benchmark v1Benchmark detailsMean 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 | 6.67% Reported settings{"checkpoint":"claude-fable-5-1","evaluatorModel":"anthropic/claude-fable-5-1","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":"max","reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"Anthropic","harness":null} |
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