RankingEffort benchmarks

Claude Fable 5 · High

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100 measured results · 6 effort settings · 79 benchmark/harness combinations

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Capability profile

One configuration, seven capabilities

Comparison score · 0–100
Claude Fable 5 · High capability radarComparison scores from 0 to 100. Unknown capabilities have no point; lines stop at gaps. Hollow points are preliminary. Exact values and support labels follow the chart.AgenticHard reasoningCodingHuman prefKnowledgeMultimodalLong context50100Claude Fable 5 · High · Hard reasoning: 76.5 · SupportedClaude Fable 5 · High · Coding: 80.7 · Supported

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

  • Agentic

    Unknown
  • Hard reasoning

    A76.5Supported
  • Coding

    A80.7Supported
  • Human pref

    Unknown
  • Knowledge

    Unknown
  • Multimodal

    Unknown
  • Long 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.

2 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 · 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.

What changes when a source is removed?
Removed sourceRank before → afterRank movementCohort remaining / lost supportScore after (change)
Artificial Analysis20 → 24Down 4203 remaining / 241 lost78.9 (-0.8 points)
ARC Prize20 → 23Down 3444 remaining / 0 lost81.0 (+1.2 points)
Datacurve20 → 20No movement444 remaining / 0 lost78.8 (-0.9 points)
LiveCodeBench20 → 20No movement444 remaining / 0 lost79.7 (-0.0 points)
Scale20 → 28Down 8444 remaining / 0 lost76.9 (-2.8 points)
Terminal-Bench20 → 23Down 3444 remaining / 0 lost78.7 (-1.0 points)
Cognition20 → 23Down 3444 remaining / 0 lost75.9 (-3.9 points)
LiveBench20 → 23Down 3443 remaining / 1 lost80.1 (+0.4 points)
SWE-rebench20 → 14Up 6444 remaining / 0 lost84.4 (+4.7 points)
Epoch AI20 → 16Up 4431 remaining / 13 lost83.9 (+4.1 points)
Vals AI20 → 20No movement443 remaining / 1 lost79.2 (-0.6 points)
Provider reports · Anthropic20 → 20No movement444 remaining / 0 lost79.7 (-0.1 points)
Provider reports · Moonshot AI20 → 20No movement444 remaining / 0 lost79.8 (+0.1 points)
Provider reports · Meta20 → 20No movement444 remaining / 0 lost79.7 (-0.0 points)
Provider reports · Mistral20 → 20No movement444 remaining / 0 lost79.7 (+0.0 points)
Provider reports · OpenAI20 → 20No movement444 remaining / 0 lost79.7 (-0.1 points)
All provider reports20 → 20No movement444 remaining / 0 lost79.6 (-0.1 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 evidenceRecomputed scoreChange
swe-rebench84.4+4.7
frontiercode75.9-3.9
enigma-eval76.5-3.2
gpqa82.7+2.9
aime77.8-1.9
arc-agi81.0+1.2
terminal-bench78.7-1.0
deepswe78.8-0.9
arc-agi-379.2-0.5
epoch-game-puzzles79.3-0.4
frontiermath79.4-0.3
mmmu-pro80.0+0.3
hle80.0+0.3
gdp-pdf79.9+0.1
ifbench79.6-0.1
critpt79.9+0.1
tau-bench79.6-0.1
swe-atlas-test-writing79.9+0.1
livebench-instructions79.9+0.1
swe-atlas-qna79.6-0.1
livebench-coding79.6-0.1
mmlu-pro79.8+0.1
briefcase79.7-0.1
livebench-data79.8+0.1
multi-swe-bench79.7-0.1
simpleqa79.8+0.1
omniscience79.8+0.1
livebench-language79.8+0.0
livebench-reasoning79.7-0.0
swe-atlas-refactoring79.7-0.0
vals-legal-research79.7-0.0
vals-tax-agent79.7-0.0
terminal-bench-science79.7-0.0
aa-lcr79.8+0.0
automationbench79.8+0.0
apex-agents79.8+0.0
harvey79.8+0.0
vals-excel-modeling79.7-0.0
livebench-math79.7-0.0
analyst-agent79.7-0.0
vibe-code79.7-0.0
vals-finance-agent79.7-0.0
vals-code-migration79.7-0.0
swe-bench-pro79.7-0.0
itbench79.7+0.0
gdpval79.7-0.0
livecodebench79.7-0.0
gmmlu79.7+0.0
math50079.7-0.0
enterprise-ops79.7-0.0
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
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 / sourceLowMediumHighXHighMaxUnspecified
AA-AnalystAgentArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Share of tasks solved on all 5 of 5 attempts · 80 tasks, 5 attempts per task · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
48.75%
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
AA-Briefcase EloArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

AA-Briefcase v1.1 is an agentic knowledge work benchmark developed by Artificial Analysis. AA-Briefcase Elo is a combined metric that aggregates rubric pass rate, analytical quality Elo and presentation Elo · Higher is better · Evaluation results measured independently by Artificial Analysis

Unit: elo. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
1,539.25 Elo
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
AA-LCR v1.1Artificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
82.33%
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
AutomationBench-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Share of task objectives completed with no guardrail violations · Higher is better · Benchmark developed by Zapier · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
54.07%
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
CritPtArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Benchmark developed by Argonne and UIUC, with contributions from 60+ researchers globally. 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 reportedNot reportedNot reportedNot reported
28.57%
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
EnterpriseOps-Gym-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Overall task success rate across all eight enterprise domains (oracle tool mode) · Benchmark developed by ServiceNow Research · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
51.12%
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
GDP.pdf: All-pass RateArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Share of attempts where every atomic criterion passed · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
24%
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
GDPval-AA v2.1 LeaderboardArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Elo rating for performance on real-world work tasks · Anchored to DeepSeek V4.1 Flash (max) at 1600 · Higher is better · Evaluation results measured independently by Artificial Analysis

Unit: elo. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
1,609.83 Elo
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
GPQA DiamondArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
92.63%
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
Humanity's Last ExamArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
55.47%
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
IFBenchArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
63.47%
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
MLCR-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Share of tasks judged accurate, complete, and concise · Expert + compound (hard) sets · Benchmark developed by Wisedocs · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
64.44%
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
AA-Omniscience IndexArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct. · Evaluation results measured independently by Artificial Analysis

Unit: index. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
43.3
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
AA-Omniscience AccuracyArtificial Analysis · 6000 questions; 1 attempt; correct-answer share; GPT-5.6 Luna medium grader
Benchmark details

AA-Omniscience Accuracy (higher is better) measures the proportion of correctly answered questions out of all questions, regardless of whether the model chooses to answer · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
65.35%
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
SciCodeArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Benchmark curated by scientists across 16 disciplines. SciCode is under review following an independent audit of the dataset · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
61%
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
𝜏²-Bench TelecomArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
98.54%
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
𝜏³-BankingArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Benchmark developed by Sierra Research · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
38.14%
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
Terminal-Bench HardArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
62.88%
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
Terminal-Bench v2.1Artificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Benchmark developed by the Laude Institute and open-source contributors · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
84.64%
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
Terminal-Bench v4.0Artificial Analysis · mini-SWE-agent v2.4.6; 66 tasks; pass@1 averaged over 3 repeats; 500 steps; task timeout up to 8 hours
Benchmark details

Benchmark developed by the Laude Institute, Stanford, and open-source contributors · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-10-18.

Not reportedNot reportedNot reportedNot reported
42.42%
Reported settings

Claude Fable 5 (Max, Opus 4.8 Fallback); Model source: https://artificialanalysis.ai/models/claude-fable-5

Not reported
ARC-AGI-2ARC Prize · v2 Semi-Private
Benchmark details

Original public board. Configuration and task coverage may differ; inspect source.

Unit: percent. Source collected 2026-10-18.

76.81%
Reported settings

Claude Fable 5 (Low); Source model ID: anthropic-claude-fable-5-low; 120 tasks

82.5%
Reported settings

Claude Fable 5 (Medium); Source model ID: anthropic-claude-fable-5-medium; 120 tasks

87.5%
Reported settings

Claude Fable 5 (High); Source model ID: anthropic-claude-fable-5-high; 120 tasks

88.33%
Reported settings

Claude Fable 5 (XHigh); Source model ID: anthropic-claude-fable-5-xhigh; 120 tasks

89.17%
Reported settings

Claude Fable 5 (Max); Source model ID: anthropic-claude-fable-5-max; 120 tasks

Not reported
DeepSWE v1.1Datacurve · mini-swe-agent
Benchmark details

Original public board. Configuration and task coverage may differ; inspect source.

Unit: percent. Source collected 2026-10-18.

59.6%
Reported settings

claude-fable-5; Reported effort: low; 113 unique tasks; 433 attempts; 4 runs

65.4%
Reported settings

claude-fable-5; Reported effort: medium; 113 unique tasks; 436 attempts; 4 runs

68.6%
Reported settings

claude-fable-5; Reported effort: high; 113 unique tasks; 430 attempts; 4 runs

69.9%
Reported settings

claude-fable-5; Reported effort: xhigh; 113 unique tasks; 452 attempts; 4 runs

69.7%
Reported settings

claude-fable-5; Reported effort: max; 113 unique tasks; 436 attempts; 4 runs

Not reported
Terminal-Bench 2.1Terminal-Bench · Claude Code
Benchmark details

Original public board. Configuration and task coverage may differ; inspect source.

Unit: percent. Source collected 2026-10-18.

Not reportedNot reportedNot reported
83.82%
Reported settings

Fable 5; Reported effort: xhigh; 445 trials; recorded 2026-06-09

Not reportedNot reported
Terminal-Bench 2.1Terminal-Bench · Terminus 2
Benchmark details

Original public board. Configuration and task coverage may differ; inspect source.

Unit: percent. Source collected 2026-10-18.

Not reportedNot reported
80.45%
Reported settings

Fable 5; Reported effort: high; 445 trials; recorded 2026-06-09

Not reportedNot reportedNot reported
FrontierCode 1.1 · extended-claude-codeCognition · claude-code
Benchmark details

FrontierCode 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 settings

FrontierCode 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 settings

FrontierCode 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 settings

FrontierCode 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 settings

FrontierCode 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 settings

FrontierCode 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