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OpenAI vs Anthropic.

The club-level face-off: Club Scores, best models, squad depth, division titles and the price floor — every number computed from the model database.

Club face-off
OpenAIAnthropicEdge
Club Score94.495.8Anthropic
Best modelGPT-6 AstraClaude Fable 5.1Anthropic
Top-3 average90.993.5Anthropic
Squad size64OpenAI
Cheapest capable ($/1M blended)0.50.2Anthropic
Open-weight share %00Draw
Division titles11Draw

OpenAI holds the #1 model in: Reasoning Division.

Anthropic holds the #1 model in: Value Division.

Price floor — cheapest capable model on three workloads

WorkloadOpenAIAnthropic
Chat assistant (1M in / 250K out)$0.50$0.23
Document analysis (5M in / 500K out)$1.60$0.75
Code generation (2M in / 1000K out)$1.60$0.70

Best vs best

League fixture: The two clubs' #1 models, head-to-head. In Season Zero, fixture results are decided by the data — the category winners above. When voted fixtures launch, results blend 60% benchmark / 40% crowd per the published rulebook.

Verdict by category

CategoryGPT-6 AstraClaude Fable 5.1Winner
League Score96.797.3Claude Fable 5.1
Coding (SWE-bench %)———
Reasoning (GPQA %)96.093.7GPT-6 Astra
Context (tokens)10500001000000GPT-6 Astra
Speed (tok/s)———
Price (blended $/1M)$20.00$20.00Claude Fable 5.1 (cheaper)

Tale of the tape

SpecGPT-6 AstraClaude Fable 5.1
MakerOpenAIAnthropic
ReleasedSep 3, 2026Sep 1, 2026
League Score9797
Context1,050,000 tokens1,000,000 tokens
Max output128,000128,000
$/1M input$10.00$10.00
$/1M output$50.00$50.00
WeightsClosedClosed
Speed——

Head-to-head benchmarks (shared only)

BenchmarkGPT-6 AstraClaude Fable 5.1
LiveBench overall86.188.0
GPQA Diamond96.093.7

Cost at three workloads

WorkloadGPT-6 AstraClaude Fable 5.1
Light — 1M in / 250K out$22.50$22.50
Standard — 10M in / 2.5M out$225.00$225.00
Long-context — 50M in / 5M out$750.00$750.00

The pick

Pick GPT-6 Astra if you need the bigger context window.

Pick Claude Fable 5.1 if you want the higher overall League Score.

All figures from the model database — sources and dates on each model page. Cost your own workload or compare a different pair.

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