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Head-to-head comparison

Claude Fable 5 vs. GPT-5.5

Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.

shared result series
233
distinct benchmarks
25
latest retrieval
2026-09-04

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Specifications

General specifications

Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.

Specifications for Claude Fable 5 and GPT-5.5
AttributeClaude Fable 5GPT-5.5
ProviderAnthropicOpenAI
ReleasedJun 9, 2026Apr 23, 2026
AvailabilityActiveActive
Model typeProprietaryProprietary
ParametersNot publishedNot published
ArchitectureNot publishedNot published
Context window1,000,000 tokens1,050,000 tokens
Knowledge cutoffJanuary 2026December 1, 2025
Technical sourcesModel, Context, Knowledge cutoffModel

Pricing

API pricing compared

The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.

API pricing for Claude Fable 5 and GPT-5.5
Price typeClaude Fable 5GPT-5.5
API input$10$5 ≤272K / $10 >272K
API output$50$30 ≤272K / $45 >272K
Cache read$1$0.5 ≤272K / $1 >272K
Cache write (5 min.)$12.5Not listed
Cache write (1 hr.)$20Not listed
Price verified07/30/2026 Source07/30/2026 Source
Claude Fable 5GPT-5.5
API inputUSD per 1M tokens, base tier
Claude Fable 5$10
GPT-5.5Lower price$5
API outputUSD per 1M tokens, base tier
Claude Fable 5$50
GPT-5.5Lower price$30
Cache readUSD per 1M tokens, base tier
Claude Fable 5$1
GPT-5.5Lower price$0.5

Key to the marks:better valuebetter, but not conclusivetie

Pricing by provider

Direct developer pricing and provider endpoint tariffs routed through OpenRouter are listed separately. Prices are in USD per 1M tokens. Context-dependent direct tiers plus regional, Flex, Priority, and other OpenRouter tariffs remain individually identifiable.

Provider pricing for Claude Fable 5 and GPT-5.5
ModelProviderPurchase route and tariffInput per 1M tokensOutput per 1M tokensSource
Claude Fable 5AnthropicDirect from developerStandard APILowest listed price: $10Lowest listed price: $50Source07/30/2026
Amazon BedrockVia OpenRouteramazon-bedrockLowest listed price: $10Lowest listed price: $50Source09/12/2026
AnthropicVia OpenRouteranthropicLowest listed price: $10Lowest listed price: $50Source09/12/2026
AzureVia OpenRouterazureLowest listed price: $10Lowest listed price: $50Source09/12/2026
Claude Platform on AWSVia OpenRouterclaude-on-awsLowest listed price: $10Lowest listed price: $50Source09/12/2026
GoogleVia OpenRoutergoogle-vertex/europe$11$55Source09/12/2026
GoogleVia OpenRoutergoogle-vertex/globalLowest listed price: $10Lowest listed price: $50Source09/12/2026
GPT-5.5OpenAIDirect from developerUp to 272,000 context tokens$5$30Source07/30/2026
OpenAIDirect from developerAbove 272,000 context tokens$10$45Source07/30/2026
Amazon BedrockVia OpenRouteramazon-bedrock/us-east-1$5.5$33Source09/12/2026
AzureVia OpenRouterazure$5$30Source09/12/2026
AzureVia OpenRouterazure/eu$5.5$33Source09/12/2026
AzureVia OpenRouterazure/us$5.5$33Source09/12/2026
OpenAIVia OpenRouteropenai$5$30Source09/12/2026
OpenAIVia OpenRouteropenai/fast$12.5$75Source09/12/2026
OpenAIVia OpenRouteropenai/flexLowest listed price: $2.5Lowest listed price: $15Source09/12/2026

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.

Capability profile from matched benchmarks

Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.

255075100CodingReasoningMathematicsKnowledgeFinanceLegalAgentic tasksMultimodal
Claude Fable 5
GPT-5.5
Coding: 100 / 77.3 (6 benchmark families)
Reasoning: 99.9 / 97.9 (3 benchmark families)
Mathematics: 100 / 98.5 (1 benchmark family)
Knowledge: 100 / 96.9 (2 benchmark families)
Finance: 100 / 95.2 (6 benchmark families)
Legal: 100 / 77.8 (4 benchmark families)
Agentic tasks: 100 / 94.9 (1 benchmark family)
Multimodal: 100 / 98.8 (1 benchmark family)

62 matched rows from 25 benchmark families were considered. The radar shows 8 of 13 comparable categories.

Claude Fable 5GPT-5.5
Code MigrationOverall. Higher is better. No documented setup difference
Claude Fable 5Winner55.065 %
GPT-5.545.161 %
CorpFin v2Overall. Higher is better. No documented setup difference
Claude Fable 5Winner71.834 %
GPT-5.568.415 %
EMBOverall. Higher is better. No documented setup difference
Claude Fable 5Winner73.666 %
GPT-5.564.543 %
Finance Agent (v2)Overall. Higher is better. No documented setup difference
Claude Fable 5Winner56.314 %
GPT-5.551.76 %
GPQA DiamondOverall. Higher is better. No documented setup difference
Claude Fable 5Tie93.182 %
GPT-5.5Tie93.182 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference
Claude Fable 5Winner11.25 %
GPT-5.53.75 %
Legal Research BenchOverall · All-pass. Higher is better. No documented setup difference
Claude Fable 5Winner49.519 %
GPT-5.540.385 %
LegalBenchOverall. Higher is better. No documented setup difference
Claude Fable 5Winner88.561 %
GPT-5.586.515 %
LiveBenchOverall. Higher is better. No documented setup difference
Claude Fable 5Winner82.97 points
GPT-5.580.19 points
LiveCodeBench v6Overall. Higher is better. No documented setup difference
Claude Fable 5Winner89.778 %
GPT-5.585.296 %
LMArena Text, Style ControlOverall. Higher is better. No documented setup difference
Claude Fable 5Winner1,507.405
GPT-5.51,477.235
MedCodeOverall. Higher is better. No documented setup difference
Claude Fable 5Winner56.07 %
GPT-5.549.1 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Claude Fable 5 and GPT-5.5
Benchmark and taskClaude Fable 5GPT-5.5Source
Code MigrationOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner55.065 %
45.161 %
Vals AI
Source details
Data as of: 09/03/2026
CorpFin v2Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better
Winner71.834 %
68.415 %
Vals AI
Source details
Data as of: 08/12/2026
EMBOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner73.666 %
64.543 %
Vals AI
Source details
Data as of: 09/03/2026
Finance Agent (v2)Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better
Winner56.314 %
51.76 %
Vals AI
Source details
Data as of: 09/03/2026
GPQA DiamondOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Tie93.182 %
Tie93.182 %
Vals AI
Source details
Data as of: 09/01/2026
Harvey's Legal Agent BenchmarkOverall · Task fully resolved
Test details
No documented difference in the test setupVersion: 1Metric: task resolution rateScoring: Higher is better
Winner11.25 %
3.75 %
Vals AI
Source details
Data as of: 09/03/2026
Legal Research BenchOverall · All-pass
Test details
No documented difference in the test setupVersion: 1Metric: all-pass rateScoring: Higher is better
Winner49.519 %
40.385 %
Vals AI
Source details
Data as of: 09/03/2026
LegalBenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner88.561 %
86.515 %
Vals AI
Source details
Data as of: 09/01/2026
LiveBenchOverall
Test details
No documented difference in the test setupVersion: 2026-06-25Metric: composite scoreScoring: Higher is better23 objectively scored tasks across seven categories.
Winner82.97 points
80.19 points
LiveBench
Source details
Data as of: 06/25/2026
LiveCodeBench v6Overall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner89.778 %
85.296 %
Vals AI
Source details
Data as of: 09/01/2026
LMArena Text, Style ControlOverall
Test details
No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Fable 5: Snapshot: claude-fable-5, Harness: Arena text, style control
GPT-5.5: Snapshot: gpt-5.5, Harness: Arena text, style control
Claude Fable 5: Style-controlled Arena rating from 26,977 anonymous pairwise votes.GPT-5.5: Style-controlled Arena rating from 64,686 anonymous pairwise votes.
Winner1,507.405
95% confidence interval: ±4.978The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
1,477.235
95% confidence interval: ±3.839The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
LMArena
Source details
Data as of: 09/01/2026
MedCodeOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner56.07 %
49.1 %
Vals AI
Source details
Data as of: 09/03/2026
MedScribeOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner88.522 %
86.868 %
Vals AI
Source details
Data as of: 09/03/2026
MMLU-ProOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner91.502 %
88.144 %
Vals AI
Source details
Data as of: 09/01/2026
MMMU-ProOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner89.306 %
88.266 %
Vals AI
Source details
Data as of: 09/01/2026
MortgageTaxOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner68.919 %
68.76 %
Vals AI
Source details
Data as of: 09/01/2026
ProgramBenchOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner2 %
0.5 %
Vals AI
Source details
Data as of: 09/01/2026
Public Benefits Bench v1.1Overall
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is better
Winner70.433 %
60.893 %
Vals AI
Source details
Data as of: 09/01/2026
SAGEOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner51.89 %
51.532 %
Vals AI
Source details
Data as of: 09/03/2026
SWE-bench VerifiedOverall
Test details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Winner95 %
82.6 %
Vals AI
Source details
Data as of: 09/01/2026
TaxEval v2Overall
Test details
No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better
Winner76.942 %
74.98 %
Vals AI
Source details
Data as of: 09/01/2026
Terminal-Bench 2.1Overall
Test details
No documented difference in the test setupVersion: 2.1Metric: accuracyScoring: Higher is better
Winner80.524 %
76.404 %
Vals AI
Source details
Data as of: 09/03/2026
Vals IndexOverall
Test details
No documented difference in the test setupVersion: 2Metric: weighted index scoreScoring: Higher is better
Winner66.036 %
57.411 %
Vals AI
Source details
Data as of: 09/03/2026
Vals Multimodal IndexOverall
Test details
No documented difference in the test setupVersion: 1.2Metric: weighted index scoreScoring: Higher is better
Winner74.154 %
68.071 %
Vals AI
Source details
Data as of: 08/11/2026
Vibe Code Bench v1.1Overall
Test details
No documented difference in the test setupVersion: 1.1Metric: accuracyScoring: Higher is betterSettings: Harness: OpenHands
Winner90.352 %
69.847 %
Vals AI
Source details
Data as of: 09/03/2026
Code MigrationCLI
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value60.087 %
36.882 %
Vals AI
Source details
Data as of: 08/09/2026
CorpFin v2Exact Pages
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value66.9 %
65.618 %
Vals AI
Source details
Data as of: 08/06/2026
EMBComps
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value70.785 %
64.681 %
Vals AI
Source details
Data as of: 08/06/2026
Finance Agent (v2)Adjustments
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value51.092 %
45.74 %
Vals AI
Source details
Data as of: 08/06/2026
GPQA DiamondFew-Shot CoT
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
92.929 %
Higher measured value93.434 %
Vals AI
Source details
Data as of: 08/09/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passed
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value92.035 %
82.246 %
Vals AI
Source details
Data as of: 08/07/2026
Legal Research BenchAdministrative / Regulatory · All-pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value57.576 %
53.03 %
Vals AI
Source details
Data as of: 08/06/2026
LegalBenchConclusion Tasks
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value91.775 %
89.644 %
Vals AI
Source details
Data as of: 08/09/2026
LiveBenchAgentic coding
Test details
No documented difference in the test setupVersion: 2026-06-25Metric: category scoreScoring: Higher is betterAgentic coding category inside the same LiveBench release.
Winner62.2 points
54 points
LiveBench
Source details
Data as of: 06/25/2026
LiveCodeBench v6Easy
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value98.758 %
98.447 %
Vals AI
Source details
Data as of: 08/09/2026
LMArena Text, Style ControlOverall
Test details
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Fable 5: Snapshot: claude-fable-5, Harness: Arena text, style control
GPT-5.5: Snapshot: gpt-5.5-high, Reasoning: high, Harness: Arena text, style control
Claude Fable 5: Style-controlled Arena rating from 26,977 anonymous pairwise votes.GPT-5.5: Style-controlled Arena rating from 63,265 anonymous pairwise votes.
Higher measured value1,507.405
95% confidence interval: ±4.978The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
1,482.334
95% confidence interval: ±3.856The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
LMArena
Source details
Data as of: 09/01/2026
MMLU-ProBiology
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
93.584 %
Higher measured value94.003 %
Vals AI
Source details
Data as of: 08/09/2026
MortgageTaxNumerical Extraction
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value76.709 %
76.153 %
Vals AI
Source details
Data as of: 08/09/2026
ProgramBenchAlmost Resolved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value33 %
9.5 %
Vals AI
Source details
Data as of: 08/09/2026
SAGEAutomata
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens
GPT-5.5: Reasoning: xhigh, Temperature: 1, Output limit: 30,000 tokens
39.682 %
Higher measured value40.476 %
Vals AI
Source details
Data as of: 08/09/2026
SWE-bench Verified<15 min fix
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value95.876 %
91.753 %
Vals AI
Source details
Data as of: 08/08/2026
TaxEval v2Correctness
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value65.822 %
65.495 %
Vals AI
Source details
Data as of: 08/09/2026
Terminal-Bench 2.1Easy
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGPT-5.5: Reasoning: high, Output limit: 128,000 tokens
Higher measured value100 %
83.333 %
Vals AI
Source details
Data as of: 08/06/2026
Vals IndexCorpFin v2
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value71.562 %
69.58 %
Vals AI
Source details
Data as of: 08/09/2026
Vals Multimodal IndexCorpFin v2
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value71.562 %
69.58 %
Vals AI
Source details
Data as of: 08/09/2026
Code MigrationCOBOL
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
40 %
Higher measured value70 %
Vals AI
Source details
Data as of: 08/09/2026
CorpFin v2Max Fitting Context
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value77.04 %
70.047 %
Vals AI
Source details
Data as of: 08/06/2026
EMBDataroom
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value85.362 %
81.227 %
Vals AI
Source details
Data as of: 08/06/2026
Finance Agent (v2)All-Pass
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value45.694 %
39.562 %
Vals AI
Source details
Data as of: 08/06/2026
GPQA DiamondZero-Shot CoT
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value93.434 %
92.929 %
Vals AI
Source details
Data as of: 08/09/2026
Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
No direct winner0 %
No direct winner0 %
Vals AI
Source details
Data as of: 08/07/2026
Legal Research BenchAdministrative / Regulatory · Weighted partial credit
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value90.224 %
86.669 %
Vals AI
Source details
Data as of: 08/06/2026
LegalBenchInterpretation Tasks
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value86.863 %
83.836 %
Vals AI
Source details
Data as of: 08/09/2026
LiveBenchCoding
Test details
No documented difference in the test setupVersion: 2026-06-25Metric: category scoreScoring: Higher is betterCoding category inside the same LiveBench release.
Winner86 points
82.1 points
LiveBench
Source details
Data as of: 06/25/2026
LiveCodeBench v6Hard
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value79.714 %
69.714 %
Vals AI
Source details
Data as of: 08/09/2026
LMArena Text, Style ControlBusiness, management and finance
Test details
No documented difference in the test setupVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterClaude Fable 5: Snapshot: claude-fable-5, Harness: Arena text, style control
GPT-5.5: Snapshot: gpt-5.5, Harness: Arena text, style control
Claude Fable 5: Style-controlled Arena rating from 5,567 anonymous pairwise votes.GPT-5.5: Style-controlled Arena rating from 12,904 anonymous pairwise votes.
Winner1,501.942
95% confidence interval: ±8.642The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
1,485.915
95% confidence interval: ±6.577The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
LMArena
Source details
Data as of: 09/01/2026
MMLU-ProBusiness
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value93.156 %
92.015 %
Vals AI
Source details
Data as of: 08/09/2026
MortgageTaxSemantic Extraction
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
61.129 %
Higher measured value61.367 %
Vals AI
Source details
Data as of: 08/09/2026
ProgramBenchFully Resolved
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value2 %
0.5 %
Vals AI
Source details
Data as of: 08/09/2026
SAGELinear Algebra
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 30,000 tokens
GPT-5.5: Reasoning: xhigh, Temperature: 1, Output limit: 30,000 tokens
71.544 %
Higher measured value74.436 %
Vals AI
Source details
Data as of: 08/09/2026
SWE-bench Verified>4 hours
Test details
Test setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value100 %
66.667 %
Vals AI
Source details
Data as of: 08/08/2026
TaxEval v2Stepwise Reasoning
Test details
Test setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value88.062 %
84.464 %
Vals AI
Source details
Data as of: 08/09/2026
Terminal-Bench 2.1Hard
Test details
Test setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterGPT-5.5: Reasoning: high, Output limit: 128,000 tokens
Higher measured value70 %
66.667 %
Vals AI
Source details
Data as of: 08/06/2026
Vals IndexFinance Agent v2
Test details
Test setup not documented as identicalNo direct winnerVersion: 1.2Metric: benchmark scoreScoring: Higher is betterClaude Fable 5: Compute: max, Temperature: 1, Output limit: 128,000 tokens
GPT-5.5: Reasoning: xhigh, Output limit: 128,000 tokens
Higher measured value56.349 %
51.834 %
Vals AI
Source details
Data as of: 08/09/2026

Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Community tests you can inspect

Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.

Pelican on a bicycle

A community classic for free-form SVG drawing.

Claude Fable 5

Claude Fable 5: Pelican on a bicycle
A community classic for free-form SVG drawing.
First attempt
Run date
7 Sept 2026
API provider
openrouter
Requested API model
anthropic/claude-fable-5
API model reported in response
anthropic/claude-fable-5
Pinned endpoint
Anthropic | anthropic/claude-5-fable-20260609
Reasoning setting
high
Temperature
Provider default
Token limit including reasoning
8,192 tokens
Test protocol
community-visual-tests-v1
Technical checks
Passed, not a quality rating
Response time
53.1 s

Visually reviewed. This individual test does not establish overall model quality.

GPT-5.5

The API response was not fully received. The model was not evaluated.

First attempt
Run date
7 Sept 2026
API provider
openrouter
Requested API model
openai/gpt-5.5
Pinned endpoint
OpenAI | openai/gpt-5.5-20260423
Reasoning setting
high
Temperature
Provider default
Token limit including reasoning
8,192 tokens
Test protocol
community-visual-tests-v1
Technical checks
Failed

Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.

Prompt and test conditions

Generate an SVG of a pelican riding a bicycle

Token limit including reasoning: 8,192 tokens

Task origin (Simon Willison)

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.

The standard price table uses direct developer rates. The provider comparison labels OpenRouter endpoints, regions, and special tariffs separately.

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.

More matchups

Compare Claude Fable 5 and GPT-5.5 with other leading models using the same data and benchmark logic.

View the complete LLM comparison