Claude Opus 5 vs Gemini 3.7 Flash

At a Glance

Compare
Claude Opus 5Anthropic
Gemini 3.7 FlashGoogle DeepMind
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#3 of 4694.1 score · 3/3 sources · complete#4 of 4687.7 score · 3/3 sources · complete
CostLower is better · Published-token output estimate#39 of 44$0.371 per LiveBench case#17 of 44$0.085 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5#13 of 3857.6 score · 3/3 sources · complete#2 of 3869.9 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokens$5.00Anthropic · Sep 3, 2026$0.75Google AI · Aug 29, 2026
Output priceFrom · USD / 1M tokens$25.00Anthropic · 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 Opus 5Gemini 3.7 Flash
ARC-AGI-1verified-v1-ba05d69f6453 · verified_score · leader97.50100% of row best · percent · Claude Opus 5 (Max)95.5098% of row best · percent · Gemini 3.7 Flash (High)
ARC-AGI-2verified-v2-6c676fa3e9af · verified_score · leader90.42100% of row best · percent · Claude Opus 5 (Max)84.5894% of row best · percent · Gemini 3.7 Flash (High)
LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader10.16100% of row best · score · Claude Opus 5 (Max); 95% CI [8.61078356, 11.71492901]; sessions 19934; observations 2534849; rank 4-0.6090% 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 · leader1,504.92100% of row best · rating · claude-opus-5-high; 95% CI [1500.70174969, 1509.13092375]; votes 42617; rank 31,490.4999% of row best · rating · gemini-3.7-flash-high; 95% CI [1482.31296820, 1498.67106273]; votes 5640; rank 8
LiveBench2026-06-25 · overall · leader83.44100% of row best · percent · claude-opus-5-max-effort · 14,826 output tokens / case83.15100% of row best · percent · gemini-3.7-flash-high · 22,610 output tokens / case
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified88.76100% of row best · points · Claude Opus 5 (max effort) · 9,446 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 above5 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 Opus 5Gemini 3.7 Flash
DeveloperAnthropicGoogle DeepMind
FamilyClaude 5Gemini 3
ModelClaude Opus 5Gemini 3.7 Flash
VersionClaude Opus 5Gemini 3.7 Flash
Lifecycleactiveactive
Released2026-07-24Unknown
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 Opus 5 Capabilities

chatgenerationreasoningtools
Serving providers3
Canonical IDanthropic/claude-opus-5

Gemini 3.7 Flash Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Claude Opus 5 vs Gemini 3.7 Flash FAQs

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

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 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 Opus 5 or Gemini 3.7 Flash?+

Claude Opus 5 is $5.00 and Gemini 3.7 Flash is $0.75 per million tokens, so Gemini 3.7 Flash is cheaper on this metric. Claude Opus 5 is $25.00 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 Opus 5 or Gemini 3.7 Flash?+

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

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

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

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

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

Claude Opus 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 Opus 5 or Gemini 3.7 Flash?+

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

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

Claude Opus 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 Opus 5 or Gemini 3.7 Flash?+

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

Which offers better value, Claude Opus 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.

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