Head-to-head comparison
Claude Fable 5 vs. Claude Sonnet 5
Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.
197
shared result series
25
distinct benchmarks
2026-08-16
latest retrieval
Change model selection
Specifications and cost
General specifications and standard API pricing
Undisclosed parameter counts and knowledge cutoffs stay marked as unavailable. The table shows direct standard token pricing, including documented context tiers. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.
| Attribute | Claude Fable 5 | Claude Sonnet 5 |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Released | Jun 9, 2026 | Jun 30, 2026 |
| Availability | Active | Active |
| Model type | Proprietary | Proprietary |
| Parameters | Not published | Not published |
| Architecture | Not published | Not published |
| Context window | 1,000,000 tokens | 1,000,000 tokens |
| Knowledge cutoff | January 2026 | January 2026 |
| Technical sources | Model, Context, Knowledge cutoff | Model, Context |
| API pricing per 1M tokens | ||
| API input | $10 | $2 |
| API output | $50 | $10 |
| Cache read | $1 | $0.2 |
| Cache write (5 min.) | $12.5 | $2.5 |
| Cache write (1 hr.) | $20 | $4 |
| Price verified | 07/30/2026Source | 08/11/2026Source |
Claude Fable 5Claude Sonnet 5
API inputUSD per 1M tokens, base tier
Claude Fable 5$10
Claude Sonnet 5$2Lower price
API outputUSD per 1M tokens, base tier
Claude Fable 5$50
Claude Sonnet 5$10Lower price
Cache readUSD per 1M tokens, base tier
Claude Fable 5$1
Claude Sonnet 5$0.2Lower price
Performance
Shared benchmarks
Only published results with the same benchmark version, task, metric, and comparison cohort are paired. Different reasoning levels, agents, harnesses, or output limits appear directly in the table.
197 shared result series
Claude Fable 5Claude Sonnet 5
Arena Text, Style ControlOverall. Higher is better. Test setup not documented as identical
Claude Fable 51,506.631 arena pointsHigher measured value
Claude Sonnet 51,462.192 arena points
Code MigrationOverall. Higher is better. No documented setup difference
Claude Fable 555.065 %Winner
Claude Sonnet 544.392 %
CorpFin v2Overall. Higher is better. No documented setup difference
Claude Fable 571.834 %Winner
Claude Sonnet 566.977 %
EMBOverall. Higher is better. No documented setup difference
Claude Fable 573.666 %Winner
Claude Sonnet 566.316 %
Finance Agent (v2)Overall. Higher is better. No documented setup difference
Claude Fable 556.314 %Winner
Claude Sonnet 553.909 %
GPQA DiamondOverall. Higher is better. No documented setup difference
Claude Fable 593.182 %Winner
Claude Sonnet 588.889 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference
Claude Fable 511.25 %Winner
Claude Sonnet 55 %
Legal Research BenchOverall · All-pass. Higher is better. No documented setup difference
Claude Fable 549.519 %Winner
Claude Sonnet 541.827 %
LegalBenchOverall. Higher is better. No documented setup difference
Claude Fable 588.561 %Winner
Claude Sonnet 583.922 %
LiveCodeBench v6Overall. Higher is better. No documented setup difference
Claude Fable 589.778 %Winner
Claude Sonnet 582.429 %
MedCodeOverall. Higher is better. No documented setup difference
Claude Fable 556.07 %Winner
Claude Sonnet 547.54 %
MedScribeOverall. Higher is better. No documented setup difference
Claude Fable 588.522 %Winner
Claude Sonnet 576.054 %
| Benchmark and task | Claude Fable 5 | Claude Sonnet 5 | Comparability | Source |
|---|---|---|---|---|
| Arena Text, Style ControlOverall | 1,506.631 arena pointsHigher measured value 95% confidence interval: ±5.427The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,462.192 arena points 95% confidence interval: ±5.168The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | style-control-v1style-controlled Bradley-Terry ratingHigher is betterCohort: lmarena-text-style-control:2026-08-12:overallTest setup not documented as identicalNo direct winnerClaude Fable 5: Snapshot: claude-fable-5, Harness: Arena text, style control Claude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena text, style controlClaude Fable 5: Style-controlled Arena rating from 21,439 anonymous pairwise votes.Claude Sonnet 5: Style-controlled Arena rating from 23,138 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Code MigrationOverall | 55.065 %Winner | 44.392 % | 1accuracyHigher is betterCohort: vals-code-migration:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-code-migration-2026-08-16-107652dc6bfcRetrieved 2026-08-16 |
| CorpFin v2Overall | 71.834 %Winner | 66.977 % | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-corp_fin_v2-2026-08-16-45bbf84f57abRetrieved 2026-08-16 |
| EMBOverall | 73.666 %Winner | 66.316 % | 1accuracyHigher is betterCohort: vals-emb:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-emb-2026-08-16-68d5d1d47a97Retrieved 2026-08-16 |
| Finance Agent (v2)Overall | 56.314 %Winner | 53.909 % | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-14Import ID: vals-fabv2-2026-08-16-8853da43085dRetrieved 2026-08-16 |
| GPQA DiamondOverall | 93.182 %Winner | 88.889 % | 1accuracyHigher is betterCohort: vals-gpqa:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-gpqa-2026-08-16-7f8363eaa2dbRetrieved 2026-08-16 |
| Harvey's Legal Agent BenchmarkOverall · Task fully resolved | 11.25 %Winner | 5 % | 1task resolution rateHigher is betterCohort: vals-legal-agent-benchmark:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-14Import ID: vals-hlab-2026-08-16-bae90566df2fRetrieved 2026-08-16 |
| Legal Research BenchOverall · All-pass | 49.519 %Winner | 41.827 % | 1all-pass rateHigher is betterCohort: vals-legal-research:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-14Import ID: vals-legal_research-2026-08-16-af296c00ecaaRetrieved 2026-08-16 |
| LegalBenchOverall | 88.561 %Winner | 83.922 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-legal_bench-2026-08-16-d5b3b1b2b5c8Retrieved 2026-08-16 |
| LiveCodeBench v6Overall | 89.778 %Winner | 82.429 % | 1accuracyHigher is betterCohort: vals-lcb:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-lcb-2026-08-16-17b9c147080dRetrieved 2026-08-16 |
| MedCodeOverall | 56.07 %Winner | 47.54 % | 1accuracyHigher is betterCohort: vals-medcode:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-medcode-2026-08-16-524f7f474eacRetrieved 2026-08-16 |
| MedScribeOverall | 88.522 %Winner | 76.054 % | 1accuracyHigher is betterCohort: vals-medscribe:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-medscribe-2026-08-16-c385354a7e62Retrieved 2026-08-16 |
| MMLU-ProOverall | 91.502 %Winner | 87.545 % | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-mmlu_pro-2026-08-16-e14d5bb3a34cRetrieved 2026-08-16 |
| MMMU-ProOverall | 89.306 %Winner | 83.006 % | 1accuracyHigher is betterCohort: vals-mmmu:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mmmu-2026-08-16-37c9a8c7e21fRetrieved 2026-08-16 |
| MortgageTaxOverall | 68.919 % | 70.032 %Winner | 1accuracyHigher is betterCohort: vals-mortgage-tax:1:overallNo documented setup differenceWinner: Claude Sonnet 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-mortgage_tax-2026-08-16-e78c985dbb1cRetrieved 2026-08-16 |
| ProgramBenchOverall | 2 %Winner | 0 % | 1accuracyHigher is betterCohort: vals-programbench:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-programbench-2026-08-16-08d9727662ddRetrieved 2026-08-16 |
| ProofBenchOverall | 95 %Winner | 77 % | 1.1accuracyHigher is betterCohort: vals-proof-bench:1.1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-14Import ID: vals-proof_bench-2026-08-16-14232db24de1Retrieved 2026-08-16 |
| Public Benefits Bench v1.1Overall | 70.433 %Winner | 66.035 % | 1.1accuracyHigher is betterCohort: vals-snap:1.1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-public-benefits-bench-2026-08-16-7ce68123c502Retrieved 2026-08-16 |
| SAGEOverall | 51.89 %Winner | 48.925 % | 1accuracyHigher is betterCohort: vals-sage:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-sage-2026-08-16-a416dd25affbRetrieved 2026-08-16 |
| SWE-bench VerifiedOverall | 95 %Winner | 79.6 % | 1accuracyHigher is betterCohort: vals-swebench:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-swebench-2026-08-16-c133071b8167Retrieved 2026-08-16 |
| TaxEval v2Overall | 76.942 %Winner | 75.634 % | 2accuracyHigher is betterCohort: vals-tax-eval-v2:2:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-tax_eval_v2-2026-08-16-5bbd495dac53Retrieved 2026-08-16 |
| Terminal-Bench 2.1Overall | 80.524 %Winner | 74.532 % | 2.1accuracyHigher is betterCohort: vals-terminal-bench-2-1:2.1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-terminal-bench-2-1-2026-08-16-b3f38c18bea4Retrieved 2026-08-16 |
| Vals IndexOverall | 66.036 %Winner | 59.61 % | 2weighted index scoreHigher is betterCohort: vals-vals-index:2:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-14Import ID: vals-vals_index-2026-08-16-ab641d89d6edRetrieved 2026-08-16 |
| Vals Multimodal IndexOverall | 74.154 %Winner | 68.826 % | 1.2weighted index scoreHigher is betterCohort: vals-vals-multimodal-index:1.2:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed Claude Sonnet 5: No further settings disclosed | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-11Import ID: vals-vals_multimodal_index-2026-08-16-9f3ebb221408Retrieved 2026-08-16 |
| Vibe Code Bench v1.1Overall | 90.352 %Winner | 81.325 % | 1.1accuracyHigher is betterCohort: vals-vibe-code-bench:1.1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Harness: OpenHands Claude Sonnet 5: Harness: OpenHands | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-vibe-code-2026-08-16-a73c9770bcc4Retrieved 2026-08-16 |
| Arena Text, Style ControlBusiness, management and finance | 1,502.177 arena pointsHigher measured value 95% confidence interval: ±9.475The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,464.884 arena points 95% confidence interval: ±9.253The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | style-control-v1style-controlled Bradley-Terry ratingHigher is betterCohort: lmarena-text-style-control:2026-08-12:industry_business_and_management_and_financial_operationsTest setup not documented as identicalNo direct winnerClaude Fable 5: Snapshot: claude-fable-5, Harness: Arena text, style control Claude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena text, style controlClaude Fable 5: Style-controlled Arena rating from 4,464 anonymous pairwise votes.Claude Sonnet 5: Style-controlled Arena rating from 4,692 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Code MigrationCLI | 60.087 %Winner | 36.332 % | 1accuracyHigher is betterCohort: vals-code-migration:1:cliNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-code-migration-2026-08-11-3a2d5ce718a3Retrieved 2026-08-11 |
| CorpFin v2Exact Pages | 66.9 %Winner | 63.869 % | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:exact_pagesNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-corp_fin_v2-2026-08-11-d9e58d191cd9Retrieved 2026-08-11 |
| EMBComps | 70.785 %Winner | 69.384 % | 1accuracyHigher is betterCohort: vals-emb:1:compsNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-emb-2026-08-11-e3c855e236e4Retrieved 2026-08-11 |
| Finance Agent (v2)Adjustments | 51.092 %Winner | 48.715 % | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:adjustmentsNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-fabv2-2026-08-11-3e5c93a1857cRetrieved 2026-08-11 |
| GPQA DiamondFew-Shot CoT | 92.929 %Winner | 87.374 % | 1accuracyHigher is betterCohort: vals-gpqa:1:diamond_few_shot_cotNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-gpqa-2026-08-11-d3325290a404Retrieved 2026-08-11 |
| Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passed | 92.035 %Winner | 88.768 % | 1criteria pass rateHigher is betterCohort: vals-legal-agent-benchmark:1:criteria_pass_rate__antitrust_competitionNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-07Import ID: vals-hlab-2026-08-11-ea11b6e53414Retrieved 2026-08-11 |
| Legal Research BenchAdministrative / Regulatory · All-pass | 57.576 %Winner | 54.545 % | 1all-pass rateHigher is betterCohort: vals-legal-research:1:administrative_regulatoryNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-legal_research-2026-08-11-326cf7aaca58Retrieved 2026-08-11 |
| LegalBenchConclusion Tasks | 91.775 %Winner | 89.555 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:conclusion_tasksNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-legal_bench-2026-08-11-836e5e44618eRetrieved 2026-08-11 |
| LiveCodeBench v6Easy | 98.758 %Winner | 98.447 % | 1accuracyHigher is betterCohort: vals-lcb:1:easyNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-lcb-2026-08-11-0342bcc364e4Retrieved 2026-08-11 |
| MMLU-ProBiology | 93.584 %Tie | 93.584 %Tie | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:biologyNo documented setup differenceTieClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mmlu_pro-2026-08-11-b8e53828d746Retrieved 2026-08-11 |
| MortgageTaxNumerical Extraction | 76.709 % | 78.696 %Winner | 1accuracyHigher is betterCohort: vals-mortgage-tax:1:numerical_extractionNo documented setup differenceWinner: Claude Sonnet 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mortgage_tax-2026-08-11-5ea6eef3e482Retrieved 2026-08-11 |
| ProgramBenchAlmost Resolved | 33 %Winner | 13.5 % | 1accuracyHigher is betterCohort: vals-programbench:1:almostNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-programbench-2026-08-11-b6f8959fbdfeRetrieved 2026-08-11 |
| SAGEAutomata | 39.682 %Winner | 34.92 % | 1accuracyHigher is betterCohort: vals-sage:1:automataNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-sage-2026-08-11-f1f79f6d8af3Retrieved 2026-08-11 |
| SWE-bench Verified<15 min fix | 95.876 %Winner | 83.505 % | 1accuracyHigher is betterCohort: vals-swebench:1:<15 min fixNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-08Import ID: vals-swebench-2026-08-11-a6212cd857d8Retrieved 2026-08-11 |
| TaxEval v2Correctness | 65.822 %Winner | 64.023 % | 2accuracyHigher is betterCohort: vals-tax-eval-v2:2:correctnessNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-tax_eval_v2-2026-08-11-d05a40bf446fRetrieved 2026-08-11 |
| Terminal-Bench 2.1Easy | 100 %No direct winner | 100 %No direct winner | 2.1accuracyHigher is betterCohort: vals-terminal-bench-2-1:2.1:easyTest setup not documented as identicalNo direct winnerClaude Fable 5: No further settings disclosed Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-terminal-bench-2-1-2026-08-11-8f0ebd72a609Retrieved 2026-08-11 |
| Vals IndexCorpFin v2 | 71.562 %Winner | 67.949 % | 1.2benchmark scoreHigher is betterCohort: vals-vals-index:1.2:corp_fin_v2No documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-vals_index-2026-08-11-e79d08d59249Retrieved 2026-08-11 |
| Vals Multimodal IndexCorpFin v2 | 71.562 %Winner | 67.949 % | 1.2benchmark scoreHigher is betterCohort: vals-vals-multimodal-index:1.2:corp_fin_v2No documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-vals_multimodal_index-2026-08-11-fa704862df19Retrieved 2026-08-11 |
| Arena Text, Style ControlChinese | 1,555.133 arena pointsHigher measured value 95% confidence interval: ±17.376The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,501.752 arena points 95% confidence interval: ±15.966The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | style-control-v1style-controlled Bradley-Terry ratingHigher is betterCohort: lmarena-text-style-control:2026-08-12:chineseTest setup not documented as identicalNo direct winnerClaude Fable 5: Snapshot: claude-fable-5, Harness: Arena text, style control Claude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena text, style controlClaude Fable 5: Style-controlled Arena rating from 1,306 anonymous pairwise votes.Claude Sonnet 5: Style-controlled Arena rating from 1,508 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Code MigrationCOBOL | 40 % | 68.571 %Winner | 1accuracyHigher is betterCohort: vals-code-migration:1:cobolNo documented setup differenceWinner: Claude Sonnet 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-code-migration-2026-08-11-3a2d5ce718a3Retrieved 2026-08-11 |
| CorpFin v2Max Fitting Context | 77.04 %Winner | 69.114 % | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:max_fitting_contextNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-corp_fin_v2-2026-08-11-d9e58d191cd9Retrieved 2026-08-11 |
| EMBDataroom | 85.362 %Winner | 84.909 % | 1accuracyHigher is betterCohort: vals-emb:1:dataroomNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-emb-2026-08-11-e3c855e236e4Retrieved 2026-08-11 |
| Finance Agent (v2)All-Pass | 45.694 %Winner | 42.084 % | 2accuracyHigher is betterCohort: vals-finance-agent-v2:2:all_passNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-fabv2-2026-08-11-3e5c93a1857cRetrieved 2026-08-11 |
| GPQA DiamondZero-Shot CoT | 93.434 %Winner | 90.404 % | 1accuracyHigher is betterCohort: vals-gpqa:1:diamond_zero_shot_cotNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-gpqa-2026-08-11-d3325290a404Retrieved 2026-08-11 |
| Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolved | 0 %Tie | 0 %Tie | 1task resolution rateHigher is betterCohort: vals-legal-agent-benchmark:1:antitrust_competitionNo documented setup differenceTieClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-07Import ID: vals-hlab-2026-08-11-ea11b6e53414Retrieved 2026-08-11 |
| Legal Research BenchAdministrative / Regulatory · Weighted partial credit | 90.224 %Winner | 87.81 % | 1weighted partial-credit scoreHigher is betterCohort: vals-legal-research:1:weighted_pass__administrative_regulatoryNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-legal_research-2026-08-11-326cf7aaca58Retrieved 2026-08-11 |
| LegalBenchInterpretation Tasks | 86.863 %Winner | 81.412 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:interpretation_tasksNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-legal_bench-2026-08-11-836e5e44618eRetrieved 2026-08-11 |
| LiveCodeBench v6Hard | 79.714 %Winner | 66.857 % | 1accuracyHigher is betterCohort: vals-lcb:1:hardNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-lcb-2026-08-11-0342bcc364e4Retrieved 2026-08-11 |
| MMLU-ProBusiness | 93.156 %Winner | 91.635 % | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:businessNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mmlu_pro-2026-08-11-b8e53828d746Retrieved 2026-08-11 |
| MortgageTaxSemantic Extraction | 61.129 % | 61.367 %Winner | 1accuracyHigher is betterCohort: vals-mortgage-tax:1:semantic_extractionNo documented setup differenceWinner: Claude Sonnet 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mortgage_tax-2026-08-11-5ea6eef3e482Retrieved 2026-08-11 |
| ProgramBenchFully Resolved | 2 %Winner | 0 % | 1accuracyHigher is betterCohort: vals-programbench:1:strictNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-programbench-2026-08-11-b6f8959fbdfeRetrieved 2026-08-11 |
| SAGELinear Algebra | 71.544 %Winner | 68.999 % | 1accuracyHigher is betterCohort: vals-sage:1:linear_algebraNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-sage-2026-08-11-f1f79f6d8af3Retrieved 2026-08-11 |
| SWE-bench Verified>4 hours | 100 %Winner | 66.667 % | 1accuracyHigher is betterCohort: vals-swebench:1:>4 hoursNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-08Import ID: vals-swebench-2026-08-11-a6212cd857d8Retrieved 2026-08-11 |
| TaxEval v2Stepwise Reasoning | 88.062 %Winner | 87.244 % | 2accuracyHigher is betterCohort: vals-tax-eval-v2:2:stepwise_reasoningNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-tax_eval_v2-2026-08-11-d05a40bf446fRetrieved 2026-08-11 |
| Terminal-Bench 2.1Hard | 70 %Higher measured value | 57.778 % | 2.1accuracyHigher is betterCohort: vals-terminal-bench-2-1:2.1:hardTest setup not documented as identicalNo direct winnerClaude Fable 5: No further settings disclosed Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-06Import ID: vals-terminal-bench-2-1-2026-08-11-8f0ebd72a609Retrieved 2026-08-11 |
| Vals IndexFinance Agent v2 | 56.349 %Winner | 51.979 % | 1.2benchmark scoreHigher is betterCohort: vals-vals-index:1.2:finance_agentNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-vals_index-2026-08-11-e79d08d59249Retrieved 2026-08-11 |
| Vals Multimodal IndexFinance Agent v2 | 56.349 %Winner | 51.979 % | 1.2benchmark scoreHigher is betterCohort: vals-vals-multimodal-index:1.2:finance_agentNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens Claude Sonnet 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-vals_multimodal_index-2026-08-11-fa704862df19Retrieved 2026-08-11 |
| Arena Text, Style ControlCoding | 1,554.337 arena pointsHigher measured value 95% confidence interval: ±8.544The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | 1,522.518 arena points 95% confidence interval: ±8.191The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result. | style-control-v1style-controlled Bradley-Terry ratingHigher is betterCohort: lmarena-text-style-control:2026-08-12:codingTest setup not documented as identicalNo direct winnerClaude Fable 5: Snapshot: claude-fable-5, Harness: Arena text, style control Claude Sonnet 5: Snapshot: claude-sonnet-5-high, Reasoning: high, Harness: Arena text, style controlClaude Fable 5: Style-controlled Arena rating from 5,798 anonymous pairwise votes.Claude Sonnet 5: Style-controlled Arena rating from 6,492 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
The table shows 64 diversified result series from 197 shared results. This prevents one benchmark with many subtasks from crowding out every other test.
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Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.
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