Head-to-head comparison
Claude Fable 5 vs. GPT-5.4
Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.
172
shared result series
20
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 | GPT-5.4 |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Released | Jun 9, 2026 | Mar 2026 |
| Availability | Active | Active |
| Model type | Proprietary | Proprietary |
| Parameters | Not published | Not published |
| Architecture | Not published | Not published |
| Context window | 1,000,000 tokens | 1,050,000 tokens |
| Knowledge cutoff | January 2026 | August 31, 2025 |
| Technical sources | Model, Context, Knowledge cutoff | Model |
| API pricing per 1M tokens | ||
| API input | $10 | $2.5 ≤272K / $5 >272K |
| API output | $50 | $15 ≤272K / $22.5 >272K |
| Cache read | $1 | $0.25 ≤272K / $0.5 >272K |
| Cache write (5 min.) | $12.5 | Not listed |
| Cache write (1 hr.) | $20 | Not listed |
| Price verified | 07/30/2026Source | 07/30/2026Source |
Claude Fable 5GPT-5.4
API inputUSD per 1M tokens, base tier
Claude Fable 5$10
GPT-5.4$2.5Lower price
API outputUSD per 1M tokens, base tier
Claude Fable 5$50
GPT-5.4$15Lower price
Cache readUSD per 1M tokens, base tier
Claude Fable 5$1
GPT-5.4$0.25Lower 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.
172 shared result series
Claude Fable 5GPT-5.4
Arena Text, Style ControlOverall. Higher is better. No documented setup difference
Claude Fable 51,506.631 arena pointsWinner
GPT-5.41,465.439 arena points
Code MigrationOverall. Higher is better. No documented setup difference
Claude Fable 555.065 %Winner
GPT-5.434.984 %
CorpFin v2Overall. Higher is better. No documented setup difference
Claude Fable 571.834 %Winner
GPT-5.465.268 %
GPQA DiamondOverall. Higher is better. No documented setup difference
Claude Fable 593.182 %Winner
GPT-5.491.666 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference
Claude Fable 511.25 %Winner
GPT-5.40 %
IOIOverall. Higher is better. No documented setup difference
Claude Fable 572.25 %Winner
GPT-5.467.834 %
LegalBenchOverall. Higher is better. No documented setup difference
Claude Fable 588.561 %Winner
GPT-5.486.044 %
LiveCodeBench v6Overall. Higher is better. No documented setup difference
Claude Fable 589.778 %Winner
GPT-5.484.141 %
MedCodeOverall. Higher is better. No documented setup difference
Claude Fable 556.07 %Winner
GPT-5.441.292 %
MedScribeOverall. Higher is better. No documented setup difference
Claude Fable 588.522 %Winner
GPT-5.477.549 %
MMLU-ProOverall. Higher is better. No documented setup difference
Claude Fable 591.502 %Winner
GPT-5.487.482 %
MMMU-ProOverall. Higher is better. No documented setup difference
Claude Fable 589.306 %Winner
GPT-5.487.514 %
| Benchmark and task | Claude Fable 5 | GPT-5.4 | Comparability | Source |
|---|---|---|---|---|
| Arena Text, Style ControlOverall | 1,506.631 arena pointsWinner 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. | 1,465.439 arena points 95% confidence interval: ±3.814The 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:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Snapshot: claude-fable-5, Harness: Arena text, style control GPT-5.4: Snapshot: gpt-5.4, Harness: Arena text, style controlClaude Fable 5: Style-controlled Arena rating from 21,439 anonymous pairwise votes.GPT-5.4: Style-controlled Arena rating from 63,759 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Code MigrationOverall | 55.065 %Winner | 34.984 % | 1accuracyHigher is betterCohort: vals-code-migration:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed GPT-5.4: Snapshot: gpt-5.4-2026-03-05 | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-code-migration-2026-08-16-107652dc6bfcRetrieved 2026-08-16 |
| CorpFin v2Overall | 71.834 %Winner | 65.268 % | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed GPT-5.4: Snapshot: gpt-5.4-2026-03-05 | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-corp_fin_v2-2026-08-16-45bbf84f57abRetrieved 2026-08-16 |
| GPQA DiamondOverall | 93.182 %Winner | 91.666 % | 1accuracyHigher is betterCohort: vals-gpqa:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed GPT-5.4: Snapshot: gpt-5.4-2026-03-05 | 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 | 0 % | 1task resolution rateHigher is betterCohort: vals-legal-agent-benchmark:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed GPT-5.4: Snapshot: gpt-5.4-2026-03-05 | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-14Import ID: vals-hlab-2026-08-16-bae90566df2fRetrieved 2026-08-16 |
| IOIOverall | 72.25 %Winner | 67.834 % | 1accuracyHigher is betterCohort: vals-ioi:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed GPT-5.4: Snapshot: gpt-5.4-2026-03-05 | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-ioi-2026-08-16-d9164ef483aaRetrieved 2026-08-16 |
| LegalBenchOverall | 88.561 %Winner | 86.044 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed GPT-5.4: Snapshot: gpt-5.4-2026-03-05 | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-legal_bench-2026-08-16-d5b3b1b2b5c8Retrieved 2026-08-16 |
| LiveCodeBench v6Overall | 89.778 %Winner | 84.141 % | 1accuracyHigher is betterCohort: vals-lcb:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed GPT-5.4: Snapshot: gpt-5.4-2026-03-05 | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-lcb-2026-08-16-17b9c147080dRetrieved 2026-08-16 |
| MedCodeOverall | 56.07 %Winner | 41.292 % | 1accuracyHigher is betterCohort: vals-medcode:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed GPT-5.4: Snapshot: gpt-5.4-2026-03-05 | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-medcode-2026-08-16-524f7f474eacRetrieved 2026-08-16 |
| MedScribeOverall | 88.522 %Winner | 77.549 % | 1accuracyHigher is betterCohort: vals-medscribe:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed GPT-5.4: Snapshot: gpt-5.4-2026-03-05 | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-medscribe-2026-08-16-c385354a7e62Retrieved 2026-08-16 |
| MMLU-ProOverall | 91.502 %Winner | 87.482 % | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed GPT-5.4: Snapshot: gpt-5.4-2026-03-05 | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-mmlu_pro-2026-08-16-e14d5bb3a34cRetrieved 2026-08-16 |
| MMMU-ProOverall | 89.306 %Winner | 87.514 % | 1accuracyHigher is betterCohort: vals-mmmu:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed GPT-5.4: Snapshot: gpt-5.4-2026-03-05 | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mmmu-2026-08-16-37c9a8c7e21fRetrieved 2026-08-16 |
| MortgageTaxOverall | 68.919 %Winner | 68.323 % | 1accuracyHigher is betterCohort: vals-mortgage-tax:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed GPT-5.4: Snapshot: gpt-5.4-2026-03-05 | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-mortgage_tax-2026-08-16-e78c985dbb1cRetrieved 2026-08-16 |
| PRBench FinanceOverall | 53.86% ± 0.14Higher measured value 95% confidence interval: ±0.14 | 45.63% ± 0.56 95% confidence interval: ±0.56 | full finance setweighted rubric scoreHigher is betterCohort: scale-prbench-finance-fullTest setup not documented as identicalNo direct winnerClaude Fable 5: Snapshot: claude-fable-5-max, Reasoning: max, Attempts: pass@1 GPT-5.4: Snapshot: gpt-5.4-high, Reasoning: high, Attempts: pass@1600 finance tasks with task-specific rubrics and o4-mini as judge. | Scale AIType: Official benchmark leaderboardImport ID: curated-scale-ai-2026-08-05-2fc4420f6753 / curated-scale-ai-2026-08-05-f6b08a569debRetrieved 2026-08-05 |
| PRBench LegalOverall | 52.56% ± 0.54Higher measured value 95% confidence interval: ±0.54 | 44.35% ± 0.28 95% confidence interval: ±0.28 | full legal setweighted rubric scoreHigher is betterCohort: scale-prbench-legal-fullTest setup not documented as identicalNo direct winnerClaude Fable 5: Snapshot: claude-fable-5-max, Reasoning: max, Attempts: pass@1 GPT-5.4: Snapshot: gpt-5.4-high, Reasoning: high, Attempts: pass@1500 legal tasks with task-specific rubrics and o4-mini as judge. | Scale AIType: Official benchmark leaderboardImport ID: curated-scale-ai-2026-08-05-6ddc903170e8 / curated-scale-ai-2026-08-05-63e40da2f52bRetrieved 2026-08-05 |
| ProgramBenchOverall | 2 %Winner | 0 % | 1accuracyHigher is betterCohort: vals-programbench:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed GPT-5.4: Snapshot: gpt-5.4-2026-03-05 | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-programbench-2026-08-16-08d9727662ddRetrieved 2026-08-16 |
| SAGEOverall | 51.89 %Winner | 43.312 % | 1accuracyHigher is betterCohort: vals-sage:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed GPT-5.4: Snapshot: gpt-5.4-2026-03-05 | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-sage-2026-08-16-a416dd25affbRetrieved 2026-08-16 |
| SWE-bench VerifiedOverall | 95 %Winner | 78.2 % | 1accuracyHigher is betterCohort: vals-swebench:1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed GPT-5.4: Snapshot: gpt-5.4-2026-03-05 | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-swebench-2026-08-16-c133071b8167Retrieved 2026-08-16 |
| TaxEval v2Overall | 76.942 %Winner | 73.958 % | 2accuracyHigher is betterCohort: vals-tax-eval-v2:2:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: No further settings disclosed GPT-5.4: Snapshot: gpt-5.4-2026-03-05 | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-12Import ID: vals-tax_eval_v2-2026-08-16-5bbd495dac53Retrieved 2026-08-16 |
| Vibe Code Bench v1.1Overall | 90.352 %Winner | 67.421 % | 1.1accuracyHigher is betterCohort: vals-vibe-code-bench:1.1:overallNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Harness: OpenHands GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Harness: OpenHands | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-13Import ID: vals-vibe-code-2026-08-16-a73c9770bcc4Retrieved 2026-08-16 |
| 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. | 1,476.571 arena points 95% confidence interval: ±3.887The 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 GPT-5.4: Snapshot: gpt-5.4-high, Reasoning: high, Harness: Arena text, style controlClaude Fable 5: Style-controlled Arena rating from 21,439 anonymous pairwise votes.GPT-5.4: Style-controlled Arena rating from 60,819 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Code MigrationCLI | 60.087 %Higher measured value | 23.788 % | 1accuracyHigher is betterCohort: vals-code-migration:1:cliTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 %Higher measured value | 64.103 % | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:exact_pagesTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 |
| GPQA DiamondFew-Shot CoT | 92.929 %Higher measured value | 91.414 % | 1accuracyHigher is betterCohort: vals-gpqa:1:diamond_few_shot_cotTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 %Higher measured value | 76.449 % | 1criteria pass rateHigher is betterCohort: vals-legal-agent-benchmark:1:criteria_pass_rate__antitrust_competitionTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-07Import ID: vals-hlab-2026-08-11-ea11b6e53414Retrieved 2026-08-11 |
| IOIIOI 2024 | 100 %Higher measured value | 67.167 % | 1accuracyHigher is betterCohort: vals-ioi:1:ioi2024Test setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-ioi-2026-08-11-2dfe8b4b8b7bRetrieved 2026-08-11 |
| LegalBenchConclusion Tasks | 91.775 %Higher measured value | 88.939 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:conclusion_tasksTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 % | 99.068 %Higher measured value | 1accuracyHigher is betterCohort: vals-lcb:1:easyTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 %Higher measured value | 92.887 % | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:biologyTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 %Higher measured value | 75.994 % | 1accuracyHigher is betterCohort: vals-mortgage-tax:1:numerical_extractionTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 %Higher measured value | 7 % | 1accuracyHigher is betterCohort: vals-programbench:1:almostTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 %Higher measured value | 21.428 % | 1accuracyHigher is betterCohort: vals-sage:1:automataTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 %Higher measured value | 88.144 % | 1accuracyHigher is betterCohort: vals-swebench:1:<15 min fixTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 %Higher measured value | 64.922 % | 2accuracyHigher is betterCohort: vals-tax-eval-v2:2:correctnessTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 |
| Arena Text, Style ControlBusiness, management and finance | 1,502.177 arena pointsWinner 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. | 1,474.218 arena points 95% confidence interval: ±6.56The 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_operationsNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Snapshot: claude-fable-5, Harness: Arena text, style control GPT-5.4: Snapshot: gpt-5.4, Harness: Arena text, style controlClaude Fable 5: Style-controlled Arena rating from 4,464 anonymous pairwise votes.GPT-5.4: Style-controlled Arena rating from 13,072 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Code MigrationCOBOL | 40 % | 68.571 %Higher measured value | 1accuracyHigher is betterCohort: vals-code-migration:1:cobolTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 %Higher measured value | 64.918 % | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:max_fitting_contextTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 |
| GPQA DiamondZero-Shot CoT | 93.434 %Higher measured value | 91.919 % | 1accuracyHigher is betterCohort: vals-gpqa:1:diamond_zero_shot_cotTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 %No direct winner | 0 %No direct winner | 1task resolution rateHigher is betterCohort: vals-legal-agent-benchmark:1:antitrust_competitionTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-07Import ID: vals-hlab-2026-08-11-ea11b6e53414Retrieved 2026-08-11 |
| IOIIOI 2025 | 44.5 % | 68.5 %Higher measured value | 1accuracyHigher is betterCohort: vals-ioi:1:ioi2025Test setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-ioi-2026-08-11-2dfe8b4b8b7bRetrieved 2026-08-11 |
| LegalBenchInterpretation Tasks | 86.863 %Higher measured value | 83.921 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:interpretation_tasksTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 %Higher measured value | 67.714 % | 1accuracyHigher is betterCohort: vals-lcb:1:hardTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 %Higher measured value | 91.762 % | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:businessTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 %Higher measured value | 60.652 % | 1accuracyHigher is betterCohort: vals-mortgage-tax:1:semantic_extractionTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 %Higher measured value | 0 % | 1accuracyHigher is betterCohort: vals-programbench:1:strictTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 %Higher measured value | 68.826 % | 1accuracyHigher is betterCohort: vals-sage:1:linear_algebraTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 %Higher measured value | 0 % | 1accuracyHigher is betterCohort: vals-swebench:1:>4 hoursTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 %Higher measured value | 82.993 % | 2accuracyHigher is betterCohort: vals-tax-eval-v2:2:stepwise_reasoningTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 |
| 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. | 1,483.617 arena points 95% confidence interval: ±6.683The 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 GPT-5.4: Snapshot: gpt-5.4-high, Reasoning: high, Harness: Arena text, style controlClaude Fable 5: Style-controlled Arena rating from 4,464 anonymous pairwise votes.GPT-5.4: Style-controlled Arena rating from 12,373 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Code MigrationCode Quality | 4.442 / 5Higher measured value | 3.632 / 5 | 1mean reviewer code-quality ratingHigher is betterCohort: vals-code-migration:1:code_qualityTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 v2Shared Max Context | 71.562 %Higher measured value | 66.783 % | 2accuracyHigher is betterCohort: vals-corp-fin-v2:2:shared_max_contextTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 |
| Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Criteria passed | 91.398 %Higher measured value | 66.667 % | 1criteria pass rateHigher is betterCohort: vals-legal-agent-benchmark:1:criteria_pass_rate__arbitration_international_dispute_resolutionTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-07Import ID: vals-hlab-2026-08-11-ea11b6e53414Retrieved 2026-08-11 |
| LegalBenchIssue Tasks | 92.064 %Higher measured value | 90.526 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:issue_tasksTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 v6Medium | 90.862 %Higher measured value | 85.64 % | 1accuracyHigher is betterCohort: vals-lcb:1:mediumTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-lcb-2026-08-11-0342bcc364e4Retrieved 2026-08-11 |
| MMLU-ProChemistry | 93.905 %Higher measured value | 91.078 % | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:chemistryTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mmlu_pro-2026-08-11-b8e53828d746Retrieved 2026-08-11 |
| ProgramBenchRaw Pass Rate | 76.803 %Higher measured value | 68.596 % | 1accuracyHigher is betterCohort: vals-programbench:1:partialTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-programbench-2026-08-11-b6f8959fbdfeRetrieved 2026-08-11 |
| SAGEPartial Differential Equations | 44.444 %Higher measured value | 39.683 % | 1accuracyHigher is betterCohort: vals-sage:1:PDEsTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, 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 Verified1-4 hours | 92.857 %Higher measured value | 50 % | 1accuracyHigher is betterCohort: vals-swebench:1:1-4 hoursTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-08Import ID: vals-swebench-2026-08-11-a6212cd857d8Retrieved 2026-08-11 |
| Arena Text, Style ControlChinese | 1,555.133 arena pointsWinner 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. | 1,496.688 arena points 95% confidence interval: ±11.202The 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:chineseNo documented setup differenceWinner: Claude Fable 5Claude Fable 5: Snapshot: claude-fable-5, Harness: Arena text, style control GPT-5.4: Snapshot: gpt-5.4, Harness: Arena text, style controlClaude Fable 5: Style-controlled Arena rating from 1,306 anonymous pairwise votes.GPT-5.4: Style-controlled Arena rating from 3,574 anonymous pairwise votes. | ArenaType: Official benchmark leaderboardLeaderboard updated: 2026-08-12Import ID: lmarena-eeedf9209373a7f9b324bfb839e7b02fedacd1e5-1611ed64f3f1Retrieved 2026-08-16 |
| Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Task fully resolved | 0 %No direct winner | 0 %No direct winner | 1task resolution rateHigher is betterCohort: vals-legal-agent-benchmark:1:arbitration_international_dispute_resolutionTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-07Import ID: vals-hlab-2026-08-11-ea11b6e53414Retrieved 2026-08-11 |
| LegalBenchRhetoric Tasks | 83.772 %Higher measured value | 82.824 % | 1accuracyHigher is betterCohort: vals-legal-bench:1:rhetoric_tasksTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-legal_bench-2026-08-11-836e5e44618eRetrieved 2026-08-11 |
| MMLU-ProComputer Science | 94.146 %Higher measured value | 89.756 % | 1accuracyHigher is betterCohort: vals-mmlu-pro:1:computer_scienceTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-09Import ID: vals-mmlu_pro-2026-08-11-b8e53828d746Retrieved 2026-08-11 |
| SWE-bench Verified15 min - 1 hour | 94.636 %Higher measured value | 76.245 % | 1accuracyHigher is betterCohort: vals-swebench:1:15 min - 1 hourTest setup not documented as identicalNo direct winnerClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens GPT-5.4: Snapshot: gpt-5.4-2026-03-05, Reasoning: xhigh, Output limit: 128,000 tokens | Vals AIType: Independent evaluationLeaderboard updated: 2026-08-08Import ID: vals-swebench-2026-08-11-a6212cd857d8Retrieved 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. | 1,506.007 arena points 95% confidence interval: ±11.398The 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 GPT-5.4: Snapshot: gpt-5.4-high, Reasoning: high, Harness: Arena text, style controlClaude Fable 5: Style-controlled Arena rating from 1,306 anonymous pairwise votes.GPT-5.4: Style-controlled Arena rating from 3,369 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 172 shared results. This prevents one benchmark with many subtasks from crowding out every other test.
How to read this comparison
Winning one benchmark is not an overall verdict
Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.
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Every result links to its measurement source and retrieval date. Labels distinguish vendor reports, official benchmark leaderboards, and independent evaluations. Disputed or archived results are excluded.
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