Claude Fable 5.1 vs GPT-5.1

Benchmark Performance

Available Benchmarks

BenchmarkClaude Fable 5.1GPT-5.1
ARC-AGI-1verified-v1-2aa739d957fc · verified_score · leader97.50100% of row best · percent · Claude Fable 5.1 (Max)72.8375% of row best · percent · GPT-5.1 (Thinking, High)
ARC-AGI-2verified-v2-b5cb5ec6e8c7 · verified_score · leader90.00100% of row best · percent · Claude Fable 5.1 (XHigh)17.6420% of row best · percent · GPT-5.1 (Thinking, High)
Overall ResultCounted from the protocol-matched rows above2 benchmark winsOverall lead0 benchmark wins

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
Anthropic · activeClaude Fable 5.1Verified Sep 2, 2026
OpenAI · activeGPT-5.1Verified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldClaude Fable 5.1GPT-5.1
DeveloperAnthropicOpenAI
FamilyClaude 5 1Gpt 5 1
ModelClaude Fable 5.1GPT-5.1
VersionClaude Fable 5.1GPT-5.1
Lifecycleactiveactive
Released2026-09-012025-11-13
Knowledge cutoff2026-06-012024-09-30
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window1,000K400K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessAnthropic (Standard)Openai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, structured_outputs, tools

15 comparable fields · 9 material differences · Pair passes the primary-source comparison gate

Claude Fable 5.1 Capabilities

chatgenerationreasoningtools
Input price$10.00
Output price$50.00
Serving providers1
Canonical IDanthropic/claude-fable-5-1

GPT-5.1 Capabilities

chatgenerationreasoningstructured outputstools
Input price$1.25
Output price$10.00
Serving providers2
Canonical IDopenai/gpt-5.1

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Claude Fable 5.1 vs GPT-5.1 FAQs

Is Claude Fable 5.1 or GPT-5.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Fable 5.1 and GPT-5.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Fable 5.1 or GPT-5.1?+

Claude Fable 5.1 is $10.00 and GPT-5.1 is $1.25 per million tokens, so GPT-5.1 is cheaper on this metric. Claude Fable 5.1 is $50.00 and GPT-5.1 is $10.00 per million tokens, so GPT-5.1 is cheaper on this metric.

Which has a larger context window, Claude Fable 5.1 or GPT-5.1?+

Claude Fable 5.1 has the larger sourced context window. Claude Fable 5.1 supports 1,000K and GPT-5.1 supports 400K.

Which performs better in benchmarks, Claude Fable 5.1 or GPT-5.1?+

There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.

Can Claude Fable 5.1 or GPT-5.1 be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Claude Fable 5.1 is not marked open weight; GPT-5.1 is not marked open weight.

Can Claude Fable 5.1 and GPT-5.1 understand images?+

Claude Fable 5.1 is documented with image input; GPT-5.1 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Fable 5.1 or GPT-5.1?+

Neither has a larger sourced maximum output. Claude Fable 5.1 is 128K and GPT-5.1 is 128K.

Do Claude Fable 5.1 and GPT-5.1 support reasoning and tool use?+

Claude Fable 5.1: reasoning, tool calling, and image input. GPT-5.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Fable 5.1 or GPT-5.1?+

Claude Fable 5.1 has 1 sourced provider route; GPT-5.1 has 2, so GPT-5.1 has broader tracked availability.

Which offers better value, Claude Fable 5.1 or GPT-5.1?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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