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Claude Opus 4.1 vs Gemini 2.5 Pro Preview 06-05

Gemini 2.5 Pro Preview 06-05 costs 7.5x less per output token than Claude Opus 4.1 ($10.00 vs $75.00 per million). Updated October 21, 2026; 7 benchmarks have a result for both.

Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
2
Gemini 2.5 Pro Preview 06-05Google
Coding
No data
Overall
No data
Output $/M
$10.00
5
vs boards won of 7 shared

Claude Opus 4.1 or Gemini 2.5 Pro Preview 06-05: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Claude Opus 4.1 for work measured by LiveCodeBench (Vals AI) or SciCode, where it leads.

Shared results
7
Claude Opus 4.1 only
66
Gemini 2.5 Pro Preview 06-05 only
8
Like-for-like categories
3 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Claude Opus 4.1 not benchmarked, Gemini 2.5 Pro Preview 06-05 not benchmarked.
Widest category
Agentic work, 8.4 points apart on average over 2 shared benchmarks.
Widest single gap
LiveCodeBench (Vals AI): Claude Opus 4.1 66.5% against Gemini 2.5 Pro Preview 06-05 79.2%, 12.7 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Gemini 2.5 Pro Preview 06-05 $10.00 per million output tokens, 7.5x apart.
Context window
Claude Opus 4.1 takes 200K tokens, Gemini 2.5 Pro Preview 06-05 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryClaude Opus 4.1BarsGemini 2.5 Pro Preview 06-05Ties
Coding02
Agentic work20
Reasoning03
All shared boards25
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Claude Opus 4.1 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.1Gemini 2.5 Pro Preview 06-05Leader
Aider polyglotNot measured83.1%Only Gemini 2.5 Pro Preview 06-05 measured
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
LiveCodeBench (Vals AI)66.5%79.2%Gemini 2.5 Pro Preview 06-05
LiveCodeBench (Artificial Analysis run)Not measured77.8%Only Gemini 2.5 Pro Preview 06-05 measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
GSO-BenchNot measured3.9%Only Gemini 2.5 Pro Preview 06-05 measured
WeirdML45.9%Not measuredOnly Claude Opus 4.1 measured
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding1479Not measuredOnly Claude Opus 4.1 measured
LMArena Text: software and IT1456Not measuredOnly Claude Opus 4.1 measured
LMArena WebDev: HTML1399Not measuredOnly Claude Opus 4.1 measured
SciCode4.6%7.7%Gemini 2.5 Pro Preview 06-05
Neither model has a result on the other 27 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Claude Opus 4.1 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.1Gemini 2.5 Pro Preview 06-05Leader
AA Intelligence Index22.8Not measuredOnly Claude Opus 4.1 measured
Epoch Capabilities Index144.1Not measuredOnly Claude Opus 4.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Opus 4.1 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.1Gemini 2.5 Pro Preview 06-05Leader
METR time horizons66.8%55.4%Claude Opus 4.1
Remote Labor IndexNot measured0.8%Only Gemini 2.5 Pro Preview 06-05 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%42.8%Claude Opus 4.1
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Claude Opus 4.1 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.1Gemini 2.5 Pro Preview 06-05Leader
GPQA Diamond76.3%Not measuredOnly Claude Opus 4.1 measured
MMMU Pro (Vals AI)77.5%Not measuredOnly Claude Opus 4.1 measured
GPQA Diamond (Artificial Analysis run)Not measured83.6%Only Gemini 2.5 Pro Preview 06-05 measured
Humanity's Last Exam (Artificial Analysis run)Not measured19.9%Only Gemini 2.5 Pro Preview 06-05 measured
GPQA Diamond (Epoch AI run)77.3%84.8%Gemini 2.5 Pro Preview 06-05
SimpleBench60.0%62.4%Gemini 2.5 Pro Preview 06-05
Mystery game puzzles21.0%Not measuredOnly Claude Opus 4.1 measured
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%46.4%Gemini 2.5 Pro Preview 06-05
LMArena Text: hard prompts1442Not measuredOnly Claude Opus 4.1 measured
LMArena Text: expert1438Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts in English1451Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 10 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Math benchmarks for Claude Opus 4.1 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.1Gemini 2.5 Pro Preview 06-05Leader
AIME78.2%Not measuredOnly Claude Opus 4.1 measured
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%Not measuredOnly Claude Opus 4.1 measured
OTIS Mock AIME68.9%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tiers 1 to 312.6%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: math1431Not measuredOnly Claude Opus 4.1 measured
LMArena Text: mathematical work1434Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 5 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Knowledge benchmarks for Claude Opus 4.1 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.1Gemini 2.5 Pro Preview 06-05Leader
MMLU Pro87.9%Not measuredOnly Claude Opus 4.1 measured
LegalBench (Vals AI)83.5%Not measuredOnly Claude Opus 4.1 measured
TaxEval (Vals AI)73.7%Not measuredOnly Claude Opus 4.1 measured
MortgageTax (Vals AI)61.1%Not measuredOnly Claude Opus 4.1 measured
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
MMLU Pro (Artificial Analysis run)Not measured85.8%Only Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: science1422Not measuredOnly Claude Opus 4.1 measured
LMArena Text: medicine and healthcare1416Not measuredOnly Claude Opus 4.1 measured
LMArena Text: legal and government1421Not measuredOnly Claude Opus 4.1 measured
LMArena Text: business and finance1406Not measuredOnly Claude Opus 4.1 measured
FACTS Benchmark Suite40.4%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.1 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.1Gemini 2.5 Pro Preview 06-05Leader
Design Arena: websites1177Not measuredOnly Claude Opus 4.1 measured
Design Arena: UI components1165Not measuredOnly Claude Opus 4.1 measured
Design Arena: game dev1171Not measuredOnly Claude Opus 4.1 measured
Design Arena: data viz1166Not measuredOnly Claude Opus 4.1 measured
Design Arena: 3D1153Not measuredOnly Claude Opus 4.1 measured
Design Arena: all code categories1171Not measuredOnly Claude Opus 4.1 measured
Design Arena: SVG1152Not measuredOnly Claude Opus 4.1 measured
Design Arena: ASCII art1167Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index23 boards, none shared
General benchmarks for Claude Opus 4.1 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.1Gemini 2.5 Pro Preview 06-05Leader
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%Not measuredOnly Claude Opus 4.1 measured
DTBench80.0%Not measuredOnly Claude Opus 4.1 measured
LMCA37.1%Not measuredOnly Claude Opus 4.1 measured
Fiction.LiveBenchNot measured91.7%Only Gemini 2.5 Pro Preview 06-05 measured
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
LMArena Text1419Not measuredOnly Claude Opus 4.1 measured
LMArena Text: instruction following1435Not measuredOnly Claude Opus 4.1 measured
LMArena Text: creative writing1412Not measuredOnly Claude Opus 4.1 measured
LMArena Text: English1433Not measuredOnly Claude Opus 4.1 measured
LMArena Text: non-English1405Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Chinese1427Not measuredOnly Claude Opus 4.1 measured
LMArena Text: German1413Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Japanese1377Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Korean1381Not measuredOnly Claude Opus 4.1 measured
LMArena Text: French1433Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Spanish1448Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Russian1422Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Polish1413Not measuredOnly Claude Opus 4.1 measured
LMArena Text: multi-turn1444Not measuredOnly Claude Opus 4.1 measured
LMArena Text: longer queries1455Not measuredOnly Claude Opus 4.1 measured
LMArena Text: writing and language1418Not measuredOnly Claude Opus 4.1 measured
LMArena Text: entertainment and media1398Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.1 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.1Gemini 2.5 Pro Preview 06-05Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Claude Opus 4.1$0.052Fits in one request
Gemini 2.5 Pro Preview 06-05$0.0063Fits in one request

Gemini 2.5 Pro Preview 06-05 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
Gemini 2.5 Pro Preview 06-05$0.092Fits in one request

Gemini 2.5 Pro Preview 06-05 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
Gemini 2.5 Pro Preview 06-05$0.350Fits in one request

Gemini 2.5 Pro Preview 06-05 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Claude Opus 4.1 and Gemini 2.5 Pro Preview 06-05
SpecificationAnthropic Claude Opus 4.1Google Gemini 2.5 Pro Preview 06-05
MakerAnthropicGoogle
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025June 5, 2025
Context window200K1.05M
Input $/Mtok$15.00$1.25
Output $/Mtok$75.00$10.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than Gemini 2.5 Pro Preview 06-05 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for work measured by LiveCodeBench (Vals AI) or SciCode, where it leads.

Which is cheaper, Claude Opus 4.1 or Gemini 2.5 Pro Preview 06-05?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Gemini 2.5 Pro Preview 06-05 costs $1.25 and $10.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 4.1 or Gemini 2.5 Pro Preview 06-05?

Gemini 2.5 Pro Preview 06-05, with 1.05M tokens against 200K.

How many benchmarks is the Claude Opus 4.1 vs Gemini 2.5 Pro Preview 06-05 comparison based on?

7 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Gemini 2.5 Pro Preview 06-05's on 0. Where only one model has a result, the page says so instead of naming a winner.

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