Claude Opus 5 vs Gemini 3.1 Pro

Market Position

LiveBench Quality Versus Estimated Output Cost

Full ranking →
Efficiency FrontierLiveBench overall · output estimate
Upper-left is better
xAIDeepSeekZ.aiMiniMaxOpenAIQwenGoogle 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$0.020$0.050$0.100$0.200$0.5006873788287Grok Build 0.1GLM 5.3 FlashGPT-5.6 Luna (max)DeepSeek V4 Flash Vision ExpGPT-5.6 Sol (max)Score-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.

This current-market view appears only when both compared models are reviewed current models with publisher-reported LiveBench token accounting and current sourced USD output rates.

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingClaude Opus 5Gemini 3.1 Pro
IntelligenceHigher is better · MM Intelligence v1.2#2 of 2294.1 scoreUnrankedNot in the 22-model eligible cohort
CostLower is better · Published-token output estimate#33 of 36$0.371 per LiveBench case#22 of 36$0.161 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.0#7 of 2256.8 scoreUnrankedNot in the 22-model eligible cohort

Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.

Benchmark Performance

Available Benchmarks

BenchmarkClaude Opus 5Gemini 3.1 Pro
LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · leader11.61100% of row best · score · Claude Opus 5 (Max); 95% CI [9.58391463, 13.64552719]; sessions 17073; observations 2093237; rank 2-3.1387% of row best · score · Gemini 3.1 Pro Preview; 95% CI [-4.00806078, -2.24630473]; sessions 83248; observations 2709356; rank 40
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,504.96100% of row best · rating · claude-opus-5-max; 95% CI [1499.16488972, 1510.76500615]; votes 16839; rank 11,480.1098% of row best · rating · gemini-3.1-pro-preview; 95% CI [1476.89767236, 1483.30025658]; votes 102763; rank 11
LiveBench2026-06-25 · overall · leader83.44100% of row best · percent · claude-opus-5-max-effort · 14,826 output tokens / case81.6698% of row best · percent · gemini-3.1-pro-preview-high · 13,380 output tokens / case
ToneBench2026-08-28-10-task-cd9819ab6e4d · overall_score · leader88.76100% of row best · points · Claude Opus 5 (max effort) · 2,628 output tokens / case79.8990% of row best · points · Gemini 3.1 Pro (high thinking) · 10,009 output tokens / case
Overall ResultCounted from the protocol-matched rows above4 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 Opus 5Verified Aug 28, 2026
Google DeepMind · previewGemini 3.1 ProVerified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldClaude Opus 5Gemini 3.1 Pro
DeveloperAnthropicGoogle DeepMind
FamilyClaude 5Gemini 3
ModelClaude Opus 5Gemini 3.1 Pro
VersionClaude Opus 5Gemini 3.1 Pro
Lifecycleactivepreview
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

13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate

Claude Opus 5 Capabilities

chatgenerationreasoningtools
Input price$5.00
Output price$25.00
Serving providers3
Canonical IDanthropic/claude-opus-5

Gemini 3.1 Pro Capabilities

chatgenerationreasoningtools
Input price$2.00
Output price$12.00
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.1-pro-preview

Internal Comparison Graph

Related Comparisons

All text comparisons →
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Primary Evidence

Sources and Freshness

Questions

Claude Opus 5 vs Gemini 3.1 Pro FAQs

Is Claude Opus 5 or Gemini 3.1 Pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 5 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 Opus 5 or Gemini 3.1 Pro?+

Claude Opus 5 is $5.00 and Gemini 3.1 Pro is $2.00 per million tokens, so Gemini 3.1 Pro is cheaper on this metric. Claude Opus 5 is $25.00 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 Opus 5 or Gemini 3.1 Pro?+

Gemini 3.1 Pro has the larger sourced context window. Claude Opus 5 supports 1,000K and Gemini 3.1 Pro supports 1,049K.

Which performs better in benchmarks, Claude Opus 5 or Gemini 3.1 Pro?+

Claude Opus 5 leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.

Can Claude Opus 5 or Gemini 3.1 Pro be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Claude Opus 5 is not marked open weight; Gemini 3.1 Pro is not marked open weight.

Can Claude Opus 5 and Gemini 3.1 Pro understand images?+

Claude Opus 5 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 Opus 5 or Gemini 3.1 Pro?+

Claude Opus 5 has the larger sourced maximum output: Claude Opus 5 supports 128K and Gemini 3.1 Pro supports 66K output tokens.

Do Claude Opus 5 and Gemini 3.1 Pro support reasoning and tool use?+

Claude Opus 5: 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 Opus 5 or Gemini 3.1 Pro?+

Claude Opus 5 has 3 sourced provider routes; Gemini 3.1 Pro has 2, so Claude Opus 5 has broader tracked availability.

Which offers better value, Claude Opus 5 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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