Claude Fable 5 vs Gemini 3.7 Flash

At a Glance

Compare
Gemini 3.7 FlashGoogle DeepMind
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#2 of 4695.6 score · 3/3 sources · complete#4 of 4687.7 score · 3/3 sources · complete
CostLower is better · Published-token output estimate#44 of 44$1.01 per LiveBench case#17 of 44$0.085 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5#29 of 3847.8 score · 3/3 sources · complete#2 of 3869.9 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokens$10.00Anthropic · Sep 3, 2026$0.75Google AI · Aug 29, 2026
Output priceFrom · USD / 1M tokens$50.00Anthropic · Sep 3, 2026$3.75Google AI · Aug 29, 2026
Context windowMaximum documented tokens1,000K1,049K
Model facts checkedAug 28, 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 5Gemini 3.7 Flash
ARC-AGI-1verified-v1-ba05d69f6453 · verified_score · leader98.50100% of row best · percent · Claude Fable 5 (XHigh)95.5097% of row best · percent · Gemini 3.7 Flash (High)
ARC-AGI-2verified-v2-6c676fa3e9af · verified_score · leader89.17100% of row best · percent · Claude Fable 5 (Max)84.5895% of row best · percent · Gemini 3.7 Flash (High)
LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader8.81100% of row best · score · Claude Fable 5 (High); 95% CI [7.56791873, 10.05963763]; sessions 38293; observations 2061291; rank 5-0.6091% of row best · score · Gemini 3.7 Flash (High); 95% CI [-1.25249139, 0.04302776]; sessions 48195; observations 3925675; rank 28
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · statistical tie1,492.63100% of row best · rating · claude-fable-5; 95% CI [1487.86770992, 1497.38399139]; votes 30057; rank 71,490.49100% of row best · rating · gemini-3.7-flash-high; 95% CI [1482.31296820, 1498.67106273]; votes 5640; rank 8
LiveBench2026-06-25 · overall · leader86.55100% of row best · percent · claude-fable-5-max-effort · 20,255 output tokens / case83.1596% of row best · percent · gemini-3.7-flash-high · 22,610 output tokens / case
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified89.06100% of row best · points · Claude Fable 5 (xhigh) · 18,129 output tokens / case77.9588% of row best · points · Gemini 3.7 Flash (high thinking) · 9,139 output tokens / case
Overall ResultCounted from the protocol-matched rows above · 1 tie4 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.

Side-by-Side Facts

FieldClaude Fable 5Gemini 3.7 Flash
DeveloperAnthropicGoogle DeepMind
FamilyClaude 5Gemini 3
ModelClaude Fable 5Gemini 3.7 Flash
VersionClaude Fable 5Gemini 3.7 Flash
Lifecycleactiveactive
Released2026-06-09Unknown
Knowledge cutoffUnknownUnknown
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), Deepinfra (Standard), Openrouter (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

Claude Fable 5 Capabilities

chatgenerationreasoningtools
Serving providers3
Canonical IDanthropic/claude-fable-5

Gemini 3.7 Flash Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.7-flash

Primary Evidence

Sources and Freshness

Questions

Claude Fable 5 vs Gemini 3.7 Flash FAQs

Is Claude Fable 5 or Gemini 3.7 Flash better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Fable 5 and Gemini 3.7 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Fable 5 or Gemini 3.7 Flash?+

Claude Fable 5 is $10.00 and Gemini 3.7 Flash is $0.75 per million tokens, so Gemini 3.7 Flash is cheaper on this metric. Claude Fable 5 is $50.00 and Gemini 3.7 Flash is $3.75 per million tokens, so Gemini 3.7 Flash is cheaper on this metric.

Which has a larger context window, Claude Fable 5 or Gemini 3.7 Flash?+

Gemini 3.7 Flash has the larger sourced context window. Claude Fable 5 supports 1,000K and Gemini 3.7 Flash supports 1,049K.

Which performs better in benchmarks, Claude Fable 5 or Gemini 3.7 Flash?+

Claude Fable 5 leads the current overall benchmark count. The result uses 5 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.

Can Claude Fable 5 or Gemini 3.7 Flash be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Claude Fable 5 is not marked open weight; Gemini 3.7 Flash is not marked open weight.

Can Claude Fable 5 and Gemini 3.7 Flash understand images?+

Claude Fable 5 is documented with image input; Gemini 3.7 Flash is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Fable 5 or Gemini 3.7 Flash?+

Claude Fable 5 has the larger sourced maximum output: Claude Fable 5 supports 128K and Gemini 3.7 Flash supports 66K output tokens.

Do Claude Fable 5 and Gemini 3.7 Flash support reasoning and tool use?+

Claude Fable 5: reasoning, tool calling, and image input. Gemini 3.7 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Fable 5 or Gemini 3.7 Flash?+

Claude Fable 5 has 3 sourced provider routes; Gemini 3.7 Flash has 2, so Claude Fable 5 has broader tracked availability.

Which offers better value, Claude Fable 5 or Gemini 3.7 Flash?+

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.

Send Feedback