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Claude Opus 4.5 vs Gemini 2.5 Pro Preview 06-05

Gemini 2.5 Pro Preview 06-05 costs 2.5x less per output token than Claude Opus 4.5 ($10.00 vs $25.00 per million). Updated October 22, 2026; 12 benchmarks have a result for both.

Claude Opus 4.5Anthropic
Coding
44.0
Overall
55.7
Output $/M
$25.00
10
Gemini 2.5 Pro Preview 06-05Google
Coding
No data
Overall
No data
Output $/M
$10.00
2
vs boards won of 12 shared

Claude Opus 4.5 or Gemini 2.5 Pro Preview 06-05: which to pick

Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; Gemini 2.5 Pro Preview 06-05 has none, so the two cannot be ranked on coding.

Pick Gemini 2.5 Pro Preview 06-05 for output tokens 2.5x cheaper ($10.00 vs $25.00 per million) and a larger context window (1.05M against 200K tokens).

Shared results
12
Claude Opus 4.5 only
96
Gemini 2.5 Pro Preview 06-05 only
3
Like-for-like categories
4 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 4.5 44.0 from 3 benchmarks, Gemini 2.5 Pro Preview 06-05 not benchmarked.
Widest category
Coding, 12.1 points apart on average over 3 shared benchmarks.
Widest single gap
GSO-Bench: Claude Opus 4.5 26.5% against Gemini 2.5 Pro Preview 06-05 3.9%, 22.6 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.5 $25.00 against Gemini 2.5 Pro Preview 06-05 $10.00 per million output tokens, 2.5x apart.
Context window
Claude Opus 4.5 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 4.5BarsGemini 2.5 Pro Preview 06-05Ties
Coding30
Agentic work30
Reasoning32
Knowledge10
All shared boards102
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Opus 4.5 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.5Gemini 2.5 Pro Preview 06-05Leader
Aider polyglotNot measured83.1%Only Gemini 2.5 Pro Preview 06-05 measured
SWE-bench Verified79.2%Not measuredOnly Claude Opus 4.5 measured
SWE-bench (full test set)52.6%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Multilingual70.7%Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev1494Not measuredOnly Claude Opus 4.5 measured
LiveCodeBench (Vals AI)83.7%79.2%Claude Opus 4.5
SWE-bench Verified (Vals AI)76.4%Not measuredOnly Claude Opus 4.5 measured
Vibe Code Bench (Vals AI)20.6%Not measuredOnly Claude Opus 4.5 measured
LiveCodeBench (Artificial Analysis run)87.1%77.8%Claude Opus 4.5
Terminal-Bench Hard (Artificial Analysis run)47.0%Not measuredOnly Claude Opus 4.5 measured
Terminal-Bench63.1%Not measuredOnly Claude Opus 4.5 measured
GSO-Bench26.5%3.9%Claude Opus 4.5
WeirdML63.7%Not measuredOnly Claude Opus 4.5 measured
Cybench82.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: coding1503Not measuredOnly Claude Opus 4.5 measured
LMArena Text: software and IT1483Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev: React1478Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev: HTML1510Not measuredOnly Claude Opus 4.5 measured
SciCodeNot measured7.7%Only Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 20 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Claude Opus 4.5 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.5Gemini 2.5 Pro Preview 06-05Leader
AA Intelligence Index29.1Not measuredOnly Claude Opus 4.5 measured
Epoch Capabilities Index150.1Not measuredOnly Claude Opus 4.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
Agentic work benchmarks for Claude Opus 4.5 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.5Gemini 2.5 Pro Preview 06-05Leader
Design Arena: agents building web apps1159Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building full-stack apps1156Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building mobile apps1189Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building Android apps1176Not measuredOnly Claude Opus 4.5 measured
τ²-Bench Telecom89.5%Not measuredOnly Claude Opus 4.5 measured
METR time horizons75.0%55.4%Claude Opus 4.5
Remote Labor Index3.8%0.8%Claude Opus 4.5
GDPval45.5%Not measuredOnly Claude Opus 4.5 measured
BALROG43.5%Not measuredOnly Claude Opus 4.5 measured
DeepResearch Bench54.8%42.8%Claude Opus 4.5
OSWorld66.3%Not measuredOnly Claude Opus 4.5 measured
Vending-Bench 2$4,967Not measuredOnly Claude Opus 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)77.5%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for Claude Opus 4.5 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.5Gemini 2.5 Pro Preview 06-05Leader
GPQA Diamond85.9%Not measuredOnly Claude Opus 4.5 measured
MMMU Pro (Vals AI)83.0%Not measuredOnly Claude Opus 4.5 measured
GPQA Diamond (Artificial Analysis run)86.6%83.6%Claude Opus 4.5
Humanity's Last Exam (Artificial Analysis run)30.1%19.9%Claude Opus 4.5
GPQA Diamond (Epoch AI run)86.0%84.8%Claude Opus 4.5
ARC-AGI80.0%Not measuredOnly Claude Opus 4.5 measured
ARC-AGI-237.6%Not measuredOnly Claude Opus 4.5 measured
SimpleBench62.0%62.4%Gemini 2.5 Pro Preview 06-05
Chess puzzles14.0%Not measuredOnly Claude Opus 4.5 measured
Mystery game puzzles22.0%Not measuredOnly Claude Opus 4.5 measured
EBR-bench14.3%Not measuredOnly Claude Opus 4.5 measured
VPCT40.0%46.4%Gemini 2.5 Pro Preview 06-05
LMArena Text: hard prompts1476Not measuredOnly Claude Opus 4.5 measured
LMArena Text: expert1487Not measuredOnly Claude Opus 4.5 measured
LMArena Text: hard prompts in English1482Not measuredOnly Claude Opus 4.5 measured
Kagi LLM Benchmark80.2%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 6 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Math benchmarks for Claude Opus 4.5 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.5Gemini 2.5 Pro Preview 06-05Leader
AIME95.4%Not measuredOnly Claude Opus 4.5 measured
MGSM (Vals AI)95.2%Not measuredOnly Claude Opus 4.5 measured
AA Math Index91.3Not measuredOnly Claude Opus 4.5 measured
AIME 2025 (Artificial Analysis run)91.3%Not measuredOnly Claude Opus 4.5 measured
OTIS Mock AIME86.1%Not measuredOnly Claude Opus 4.5 measured
FrontierMath, tiers 1 to 334.4%Not measuredOnly Claude Opus 4.5 measured
FrontierMath, tier 44.9%Not measuredOnly Claude Opus 4.5 measured
ProofBench36.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: math1463Not measuredOnly Claude Opus 4.5 measured
LMArena Text: mathematical work1468Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for Claude Opus 4.5 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.5Gemini 2.5 Pro Preview 06-05Leader
MMLU Pro87.3%Not measuredOnly Claude Opus 4.5 measured
LegalBench (Vals AI)84.6%Not measuredOnly Claude Opus 4.5 measured
CaseLaw (Vals AI)62.6%Not measuredOnly Claude Opus 4.5 measured
CorpFin (Vals AI)65.1%Not measuredOnly Claude Opus 4.5 measured
TaxEval (Vals AI)74.9%Not measuredOnly Claude Opus 4.5 measured
MortgageTax (Vals AI)68.7%Not measuredOnly Claude Opus 4.5 measured
MedQA (Vals AI)95.9%Not measuredOnly Claude Opus 4.5 measured
MedCode (Vals AI)49.2%Not measuredOnly Claude Opus 4.5 measured
MMLU Pro (Artificial Analysis run)89.5%85.8%Claude Opus 4.5
SimpleQA Verified45.7%Not measuredOnly Claude Opus 4.5 measured
GeoBench75.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: science1454Not measuredOnly Claude Opus 4.5 measured
LMArena Text: medicine and healthcare1444Not measuredOnly Claude Opus 4.5 measured
LMArena Text: legal and government1459Not measuredOnly Claude Opus 4.5 measured
LMArena Text: business and finance1448Not measuredOnly Claude Opus 4.5 measured
FACTS Benchmark Suite43.9%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 2 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.5 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.5Gemini 2.5 Pro Preview 06-05Leader
Design Arena: websites1247Not measuredOnly Claude Opus 4.5 measured
Design Arena: UI components1235Not measuredOnly Claude Opus 4.5 measured
Design Arena: game dev1228Not measuredOnly Claude Opus 4.5 measured
Design Arena: data viz1243Not measuredOnly Claude Opus 4.5 measured
Design Arena: 3D1213Not measuredOnly Claude Opus 4.5 measured
Design Arena: all code categories1242Not measuredOnly Claude Opus 4.5 measured
Design Arena: SVG1180Not measuredOnly Claude Opus 4.5 measured
Design Arena: ASCII art1190Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index27 boards, none shared
General benchmarks for Claude Opus 4.5 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.5Gemini 2.5 Pro Preview 06-05Leader
SAGE (Vals AI)52.1%Not measuredOnly Claude Opus 4.5 measured
MedScribe (Vals AI)85.3%Not measuredOnly Claude Opus 4.5 measured
IFBench58.0%Not measuredOnly Claude Opus 4.5 measured
Long context reasoning (AA-LCR)77.3%Not measuredOnly Claude Opus 4.5 measured
DTBench89.9%Not measuredOnly Claude Opus 4.5 measured
LMCA44.5%Not measuredOnly Claude Opus 4.5 measured
Fiction.LiveBenchNot measured91.7%Only Gemini 2.5 Pro Preview 06-05 measured
CL-bench21.1%Not measuredOnly Claude Opus 4.5 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.5 measured
LMArena Text1451Not measuredOnly Claude Opus 4.5 measured
LMArena Text: instruction following1478Not measuredOnly Claude Opus 4.5 measured
LMArena Text: creative writing1445Not measuredOnly Claude Opus 4.5 measured
LMArena Text: English1461Not measuredOnly Claude Opus 4.5 measured
LMArena Text: non-English1438Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Chinese1470Not measuredOnly Claude Opus 4.5 measured
LMArena Text: German1449Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Japanese1417Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Korean1424Not measuredOnly Claude Opus 4.5 measured
LMArena Text: French1471Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Spanish1457Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Russian1447Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Polish1439Not measuredOnly Claude Opus 4.5 measured
LMArena Text: multi-turn1466Not measuredOnly Claude Opus 4.5 measured
LMArena Text: longer queries1479Not measuredOnly Claude Opus 4.5 measured
LMArena Text: writing and language1452Not measuredOnly Claude Opus 4.5 measured
LMArena Text: entertainment and media1434Not measuredOnly Claude Opus 4.5 measured
LMArena Document1462Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.5 and Gemini 2.5 Pro Preview 06-05
BenchmarkClaude Opus 4.5Gemini 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 4.5$0.018Fits 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 4.5$0.325Fits 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 4.5$1.25Exceeds 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 4.5 and Gemini 2.5 Pro Preview 06-05
SpecificationAnthropic Claude Opus 4.5Google Gemini 2.5 Pro Preview 06-05
MakerAnthropicGoogle
WeightsNo public weights listedNo public weights listed
ReleasedNovember 24, 2025June 5, 2025
Context window200K1.05M
Input $/Mtok$5.00$1.25
Output $/Mtok$25.00$10.00
Coding index44.0Not benchmarked
Independent measurements behind it30
Cost per solved task$1.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.5 better than Gemini 2.5 Pro Preview 06-05 for coding?

Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; Gemini 2.5 Pro Preview 06-05 has none, so the two cannot be ranked on coding. Pick Gemini 2.5 Pro Preview 06-05 for output tokens 2.5x cheaper ($10.00 vs $25.00 per million) and a larger context window (1.05M against 200K tokens).

Which is cheaper, Claude Opus 4.5 or Gemini 2.5 Pro Preview 06-05?

Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; Gemini 2.5 Pro Preview 06-05 costs $1.25 and $10.00. Cost per solved task is known for Claude Opus 4.5 only.

Which has the bigger context window, Claude Opus 4.5 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 4.5 vs Gemini 2.5 Pro Preview 06-05 comparison based on?

12 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.5's coding index rests on 3 independent benchmarks 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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