Claude Fable 5.1 vs GPT-5.6 Sol

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v4.4#2 of 5799.0 score · 3/3 sources · completeUnrankedNot in the 57-model eligible cohort
CostLower is better · Published-token output estimate#27 of 27$0.824 per LiveBench caseUnrankedNot in the 27-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.9#14 of 2749.5 score · 3/3 sources · completeUnrankedNot in the 27-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$10.00Anthropic ↗ · Sep 3, 2026$4.00Openai ↗ · Sep 3, 2026
Output priceFrom · USD / 1M tokens$50.00Anthropic ↗ · Sep 3, 2026$20.00Openai ↗ · Sep 3, 2026
Context windowMaximum documented tokens1,000K1,050K
Model facts checkedSep 2, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
BenchmarkClaude Fable 5.1GPT-5.6 Sol
ARC-AGI-1verified-v1-613c385b0c93 · verified_score · statistical tie97.50100% of row best · percent · Claude Fable 5.1 (Max)97.50100% of row best · percent · GPT-5.6 Sol (XHigh)
ARC-AGI-2verified-v2-be40992860f9 · verified_score · leader90.0097% of row best · percent · Claude Fable 5.1 (XHigh)92.50100% of row best · percent · GPT-5.6 Sol (Max)
LMArena Document Arenadocument-2026-09-13-a64ca3b12b6e · arena_rating · leader1,512.58100% of row best · rating · claude-fable-5.1-max; 95% CI [1497.40364732, 1527.76498981]; votes 1403; rank 21,482.7198% of row best · rating · gpt-5.6-sol-xhigh; 95% CI [1473.91086026, 1491.51379085]; votes 4818; rank 10
LMArena Search Arenasearch-2026-10-13-a64ca3b12b6e · arena_rating · leader1,245.8599% of row best · rating · claude-fable-5.1-high; 95% CI [1238.79268797, 1252.89817971]; votes 12782; rank 51,261.13100% of row best · rating · gpt-5.6-sol-xhigh; 95% CI [1254.84060485, 1267.42091382]; votes 60437; rank 1
LMArena Vision Arenavision-2026-10-09-a64ca3b12b6e · arena_rating · leader1,318.24100% of row best · rating · claude-fable-5.1-max; 95% CI [1308.61778049, 1327.86146111]; votes 4648; rank 41,281.3997% of row best · rating · gpt-5.6-sol-xhigh; 95% CI [1273.98131322, 1288.80759068]; votes 10907; rank 35
LiveBench2026-06-25-90f8d44da965 · overall · leader86.82100% of row best · percent · claude-fable-5-1-max-effort · 16,470 output tokens / case85.2698% of row best · percent · gpt-5.6-sol-max · 11,729 output tokens / case
ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified84.53100% of row best · points · Claude Fable 5.1 (max effort) · 68,653 output tokens / case82.3597% of row best · points · GPT-5.6 Sol (ultra) · 15,714 output tokens / case
Overall ResultCounted from the protocol-matched rows above · 1 tie3 benchmark winsOverall lead2 benchmark wins

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

Side-by-Side Facts

FieldClaude Fable 5.1GPT-5.6 Sol
DeveloperAnthropicOpenAI
FamilyClaude 5 1Gpt 5 6
ModelClaude Fable 5.1GPT-5.6 Sol
VersionClaude Fable 5.1GPT-5.6 Sol
Lifecycleactiveactive
Released2026-09-01Unknown
Knowledge cutoff2026-06-012026-02-16
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window1,000K1,050K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessAnthropic (Standard)Openai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

Claude Fable 5.1 Capabilities

chatgenerationreasoningtools
Serving providers1
Canonical IDanthropic/claude-fable-5-1

GPT-5.6 Sol Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDopenai/gpt-5.6-sol

Primary Evidence

Sources and Freshness

Questions

Claude Fable 5.1 vs GPT-5.6 Sol FAQs

Is Claude Fable 5.1 or GPT-5.6 Sol better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Fable 5.1 and GPT-5.6 Sol, 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-5.6 Sol?+

Claude Fable 5.1 is $10.00 and GPT-5.6 Sol is $4.00 per million tokens, so GPT-5.6 Sol is cheaper on this metric. Claude Fable 5.1 is $50.00 and GPT-5.6 Sol is $20.00 per million tokens, so GPT-5.6 Sol is cheaper on this metric.

Which has a larger context window, Claude Fable 5.1 or GPT-5.6 Sol?+

GPT-5.6 Sol has the larger sourced context window. Claude Fable 5.1 supports 1,000,000 tokens and GPT-5.6 Sol supports 1,050,000 tokens.

Which performs better in benchmarks, Claude Fable 5.1 or GPT-5.6 Sol?+

Claude Fable 5.1 leads the current overall benchmark count. The result uses 6 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.

Can Claude Fable 5.1 or GPT-5.6 Sol be self-hosted?+

Both models have the same sourced self-hosting status: unsupported. Claude Fable 5.1 is not marked open weight; GPT-5.6 Sol is not marked open weight.

Can Claude Fable 5.1 and GPT-5.6 Sol understand images?+

Claude Fable 5.1 is documented with image input; GPT-5.6 Sol is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Fable 5.1 or GPT-5.6 Sol?+

Both models have the same sourced maximum output: 128,000 tokens each.

Do Claude Fable 5.1 and GPT-5.6 Sol support reasoning and tool use?+

Claude Fable 5.1: reasoning, tool calling, and image input. GPT-5.6 Sol: 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-5.6 Sol?+

Claude Fable 5.1 has 1 sourced provider route; GPT-5.6 Sol has 2, so GPT-5.6 Sol has broader tracked availability.

Which offers better value, Claude Fable 5.1 or GPT-5.6 Sol?+

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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