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Claude Fable 5.1 vs Gemini 3.1 Pro

At a Glance

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Gemini 3.1 ProGoogle DeepMind
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v4.4#2 of 5799.0 score · 3/3 sources · complete#9 of 5782.1 score · 3/3 sources · complete
CostLower is better · Published-token output estimate#27 of 27$0.824 per LiveBench case#18 of 27$0.161 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.9#14 of 2749.5 score · 3/3 sources · complete#8 of 2754.6 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokens$10.00Anthropic ↗ · Sep 3, 2026$2.00Google AI ↗ · Aug 29, 2026
Output priceFrom · USD / 1M tokens$50.00Anthropic ↗ · Sep 3, 2026$12.00Google AI ↗ · Aug 29, 2026
Context windowMaximum documented tokens1,000K1,049K
Model facts checkedSep 2, 2026View model evidence →Aug 29, 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 5.1Gemini 3.1 Pro
ARC-AGI-1verified-v1-613c385b0c93 · verified_score · leader97.5099% of row best · percent · Claude Fable 5.1 (Max)98.00100% of row best · percent · Gemini 3.1 Pro (Preview)
ARC-AGI-2verified-v2-be40992860f9 · verified_score · leader90.00100% of row best · percent · Claude Fable 5.1 (XHigh)77.0886% of row best · percent · Gemini 3.1 Pro (Preview)
LMArena Agent Arenaagent-2026-10-16-a64ca3b12b6e · outcome_score · leader14.03100% of row best · score · Claude Fable 5.1 (Max); 95% CI [12.03932907, 16.02502568]; sessions 16374; observations 1913479; rank 3-4.0084% of row best · score · Gemini 3.1 Pro Preview; 95% CI [-5.35690873, -2.63856355]; sessions 87236; observations 2815597; rank 39
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 21,443.9295% of row best · rating · gemini-3.1-pro-preview; 95% CI [1438.69417039, 1449.14324048]; votes 49457; rank 31
LMArena Search Arenasearch-2026-10-13-a64ca3b12b6e · arena_rating · leader1,245.85100% of row best · rating · claude-fable-5.1-high; 95% CI [1238.79268797, 1252.89817971]; votes 12782; rank 51,208.8197% of row best · rating · gemini-3.1-pro-grounding; 95% CI [1204.12797055, 1213.48336905]; votes 151436; rank 15
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 41,296.2098% of row best · rating · gemini-3.1-pro-preview; 95% CI [1291.04958388, 1301.35691905]; votes 46320; rank 22
LiveBench2026-06-25-90f8d44da965 · overall · leader86.82100% of row best · percent · claude-fable-5-1-max-effort · 16,470 output tokens / case81.6694% of row best · percent · gemini-3.1-pro-preview-high · 13,380 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 / case70.9984% of row best · points · Gemini 3.1 Pro (high thinking) · 10,029 output tokens / case
Overall ResultCounted from the protocol-matched rows above6 benchmark winsOverall lead1 benchmark win

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

Quality Versus Estimated Output Cost

Full ranking →
Efficiency FrontierLiveBench overall · output estimate
Upper-left is better
xAIZ.aiOpenAIMiniMaxDeepSeekMistral AIQwenGoogle DeepMindMoonshot AIAnthropic
LiveBench quality versus score-adjusted output costEach dot is a reviewed major-model configuration and is colored by developer. Higher means a better LiveBench overall score. Farther left means lower estimated output cost after adjusting by the score. A dotted line connects the non-dominated frontier observations. When models are selected, their sourced families remain prominent, unrelated observations retain their developer colors at lower opacity, and an orange ring identifies each selected model.$0.0050$0.010$0.050$0.100$0.500$1.006873798489Grok Build 0.1GLM 5.3 FlashGPT-6 Luna (max)DeepSeek V4.1 Flash (max)GPT-6.1 Sol (max)GPT-6 Astra (max)Claude Fable 5.1Score-adjusted output cost per LiveBench case (log) →LiveBench overall →
The dotted frontier connects measured, non-dominated major-model observations. With a selection, sourced families stay prominent, unrelated observations retain their developer colors at lower opacity, and orange rings mark the selected model or models. Family lines connect models only when their sourced family and generation match. Cost is estimated from published output tokens and the lowest current USD output rate; it excludes input, caching, batch discounts, and provider-specific benchmark execution details.

Side-by-Side Facts

FieldClaude Fable 5.1Gemini 3.1 Pro
DeveloperAnthropicGoogle DeepMind
FamilyClaude 5 1Gemini 3
ModelClaude Fable 5.1Gemini 3.1 Pro
VersionClaude Fable 5.1Gemini 3.1 Pro
Lifecycleactivepreview
Released2026-09-01Unknown
Knowledge cutoff2026-06-01Unknown
Input modalitiesText, ImageText, Image, Video, Audio, Document
Output modalitiesTextText
Context window1,000K1,049K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessAnthropic (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

Claude Fable 5.1 Capabilities

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

Gemini 3.1 Pro Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.1-pro-preview

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Primary Evidence

Sources and Freshness

Claude Fable 5.1 | Claude Platform DocsAnthropic · observed Sep 2, 2026Gemini 3.1 Pro Preview | Gemini APIGoogle DeepMind · observed Aug 29, 2026ARC-AGI-1 verified-v1-613c385b0c93 score tableARC Prize Foundation · observed Oct 15, 2026ARC-AGI-2 verified-v2-be40992860f9 score tableARC Prize Foundation · observed Oct 15, 2026LMArena Agent Arena agent-2026-10-16-a64ca3b12b6e score tableLMArena · observed Oct 19, 2026LMArena Document Arena document-2026-09-13-a64ca3b12b6e score tableLMArena · observed Oct 19, 2026LMArena Search Arena search-2026-10-13-a64ca3b12b6e score tableLMArena · observed Oct 19, 2026LMArena Vision Arena vision-2026-10-09-a64ca3b12b6e score tableLMArena · observed Oct 19, 2026LiveBench 2026-06-25-90f8d44da965 score tableLiveBench · observed Oct 15, 2026LiveBench 2026-06-25-90f8d44da965 token accountingLiveBench · observed Oct 15, 2026ToneBench 2026-10-17-10-task-e9c76358afb2 score tableTowards AI · observed Oct 17, 2026

Questions

Claude Fable 5.1 vs Gemini 3.1 Pro FAQs

Is Claude Fable 5.1 or Gemini 3.1 Pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Fable 5.1 and Gemini 3.1 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Fable 5.1 or Gemini 3.1 Pro?+

Claude Fable 5.1 is $10.00 and Gemini 3.1 Pro is $2.00 per million tokens, so Gemini 3.1 Pro is cheaper on this metric. Claude Fable 5.1 is $50.00 and Gemini 3.1 Pro is $12.00 per million tokens, so Gemini 3.1 Pro is cheaper on this metric.

Which has a larger context window, Claude Fable 5.1 or Gemini 3.1 Pro?+

Gemini 3.1 Pro has the larger sourced context window. Claude Fable 5.1 supports 1,000,000 tokens and Gemini 3.1 Pro supports 1,048,576 tokens.

Which performs better in benchmarks, Claude Fable 5.1 or Gemini 3.1 Pro?+

Claude Fable 5.1 leads the current overall benchmark count. The result uses 7 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.

Can Claude Fable 5.1 or Gemini 3.1 Pro be self-hosted?+

Both models have the same sourced self-hosting status: unsupported. Claude Fable 5.1 is not marked open weight; Gemini 3.1 Pro is not marked open weight.

Can Claude Fable 5.1 and Gemini 3.1 Pro understand images?+

Claude Fable 5.1 is documented with image input; Gemini 3.1 Pro is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Fable 5.1 or Gemini 3.1 Pro?+

Claude Fable 5.1 has the larger sourced maximum output. Claude Fable 5.1 supports 128,000 tokens and Gemini 3.1 Pro supports 65,536 tokens.

Do Claude Fable 5.1 and Gemini 3.1 Pro support reasoning and tool use?+

Claude Fable 5.1: reasoning, tool calling, and image input. Gemini 3.1 Pro: 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 Gemini 3.1 Pro?+

Claude Fable 5.1 has 1 sourced provider route; Gemini 3.1 Pro has 2, so Gemini 3.1 Pro has broader tracked availability.

Which offers better value, Claude Fable 5.1 or Gemini 3.1 Pro?+

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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