Claude Opus 4.6 vs Gemini 2.5 Pro

At a Glance

Compare
Gemini 2.5 ProGoogle DeepMind
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#12 of 4676.2 score · 3/3 sources · completeUnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#33 of 44$0.241 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#19 of 3853.2 score · 3/3 sources · completeUnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$5.00Anthropic · Sep 3, 2026$1.25Google AI · Aug 29, 2026
Output priceFrom · USD / 1M tokens$25.00Anthropic · Sep 3, 2026$10.00Google AI · Aug 29, 2026
Context windowMaximum documented tokens1,000K1,049K
Model facts checkedSep 3, 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 4.6Gemini 2.5 Pro
LMArena Document Arenadocument-2026-09-13-d25aabda0010 · arena_rating · leader1,507.05100% of row best · rating · claude-opus-4-6; 95% CI [1501.18336037, 1512.92390326]; votes 41260; rank 41,421.2394% of row best · rating · gemini-2.5-pro; 95% CI [1414.98072895, 1427.48825137]; votes 25110; rank 36
LMArena Search Arenasearch-2026-08-24-d25aabda0010 · arena_rating · leader1,253.42100% of row best · rating · claude-opus-4-6-search; 95% CI [1248.44594166, 1258.38585709]; votes 134699; rank 21,141.6591% of row best · rating · gemini-2.5-pro-grounding; 95% CI [1137.05776179, 1146.24105969]; votes 83404; rank 27
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,497.54100% of row best · rating · claude-opus-4-6; 95% CI [1494.14263199, 1500.94441396]; votes 75878; rank 51,457.7797% of row best · rating · gemini-2.5-pro; 95% CI [1455.30542635, 1460.23799206]; votes 122554; rank 36
LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader1,311.54100% of row best · rating · claude-opus-4-6; 95% CI [1305.06259741, 1318.02420613]; votes 25140; rank 91,262.1796% of row best · rating · gemini-2.5-pro; 95% CI [1257.50456844, 1266.82595195]; votes 87635; rank 45
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified84.21100% of row best · points · Claude Opus 4.6 · 13,556 output tokens / case78.2793% of row best · points · Gemini 2.5 Pro · 4,521 output tokens / case
Overall ResultCounted from the protocol-matched rows above4 benchmark winsNo overall winner0 benchmark winsNo overall winner

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 4.6Gemini 2.5 Pro
DeveloperAnthropicGoogle DeepMind
FamilyClaude 4Gemini 2 5
ModelClaude Opus 4.6Gemini 2.5 Pro
VersionClaude Opus 4.6Gemini 2.5 Pro
Lifecycleactiveactive
Released2026-02-05Unknown
Knowledge cutoff2025-05-012025-01-01
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, structured_outputs, toolschat, generation, reasoning, tools

Claude Opus 4.6 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDanthropic/claude-opus-4-6

Gemini 2.5 Pro Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-2.5-pro

Primary Evidence

Sources and Freshness

Questions

Claude Opus 4.6 vs Gemini 2.5 Pro FAQs

Is Claude Opus 4.6 or Gemini 2.5 Pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.6 and Gemini 2.5 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Opus 4.6 or Gemini 2.5 Pro?+

Claude Opus 4.6 is $5.00 and Gemini 2.5 Pro is $1.25 per million tokens, so Gemini 2.5 Pro is cheaper on this metric. Claude Opus 4.6 is $25.00 and Gemini 2.5 Pro is $10.00 per million tokens, so Gemini 2.5 Pro is cheaper on this metric.

Which has a larger context window, Claude Opus 4.6 or Gemini 2.5 Pro?+

Gemini 2.5 Pro has the larger sourced context window. Claude Opus 4.6 supports 1,000K and Gemini 2.5 Pro supports 1,049K.

Which performs better in benchmarks, Claude Opus 4.6 or Gemini 2.5 Pro?+

There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.

Can Claude Opus 4.6 or Gemini 2.5 Pro be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Claude Opus 4.6 is not marked open weight; Gemini 2.5 Pro is not marked open weight.

Can Claude Opus 4.6 and Gemini 2.5 Pro understand images?+

Claude Opus 4.6 is documented with image input; Gemini 2.5 Pro is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Opus 4.6 or Gemini 2.5 Pro?+

Claude Opus 4.6 has the larger sourced maximum output: Claude Opus 4.6 supports 128K and Gemini 2.5 Pro supports 66K output tokens.

Do Claude Opus 4.6 and Gemini 2.5 Pro support reasoning and tool use?+

Claude Opus 4.6: reasoning, tool calling, and image input. Gemini 2.5 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Opus 4.6 or Gemini 2.5 Pro?+

Claude Opus 4.6 has 1 sourced provider route; Gemini 2.5 Pro has 2, so Gemini 2.5 Pro has broader tracked availability.

Which offers better value, Claude Opus 4.6 or Gemini 2.5 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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