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Claude Opus 4.5 vs Gemma 4 26B A4B

Claude Opus 4.5 leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 29.1 to 16.7, and Gemma 4 26B A4B costs 41.7x less per output token ($0.60 vs $25.00 per million). Updated October 22, 2026; 41 benchmarks have a result for both.

Claude Opus 4.5Anthropic
Coding
44.0
Overall
55.7
Output $/M
$25.00
37
Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
4
vs boards won of 41 shared

Claude Opus 4.5 or Gemma 4 26B A4B: which to pick

Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding.

Pick Gemma 4 26B A4B for output tokens 41.7x cheaper ($0.60 vs $25.00 per million) and a larger context window (262K against 200K tokens).

Shared results
41
Claude Opus 4.5 only
67
Gemma 4 26B A4B only
14
Like-for-like categories
7 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, Gemma 4 26B A4B not benchmarked.
Widest category
Agentic work, 45.9 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Claude Opus 4.5 89.5% against Gemma 4 26B A4B 43.6%, 45.9 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.5 $25.00 against Gemma 4 26B A4B $0.60 per million output tokens, 41.7x apart.
Context window
Claude Opus 4.5 takes 200K tokens, Gemma 4 26B A4B 262K.

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 4.5BarsGemma 4 26B A4BTies
Coding70
Intelligence20
Agentic work10
Reasoning60
Math12
Knowledge50
General152
All shared boards374
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for Claude Opus 4.5 and Gemma 4 26B A4B
BenchmarkClaude Opus 4.5Gemma 4 26B A4BLeader
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 WebDev14941360Claude Opus 4.5
AA Coding IndexNot measured39.3Only Gemma 4 26B A4B measured
LiveCodeBench (Vals AI)83.7%Not measuredOnly Claude Opus 4.5 measured
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%Not measuredOnly Claude Opus 4.5 measured
SciCodeNot measured40.0%Only Gemma 4 26B A4B measured
Terminal-Bench Hard (Artificial Analysis run)47.0%25.0%Claude Opus 4.5
Terminal-Bench63.1%Not measuredOnly Claude Opus 4.5 measured
GSO-Bench26.5%Not measuredOnly Claude Opus 4.5 measured
WeirdML63.7%35.2%Claude Opus 4.5
Cybench82.0%Not measuredOnly Claude Opus 4.5 measured
ALE-BenchNot measured927.2Only Gemma 4 26B A4B measured
LMArena Text: coding15031446Claude Opus 4.5
LMArena Text: software and IT14831454Claude Opus 4.5
LMArena WebDev: React14781351Claude Opus 4.5
LMArena WebDev: HTML15101362Claude Opus 4.5
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.5 and Gemma 4 26B A4B
BenchmarkClaude Opus 4.5Gemma 4 26B A4BLeader
AA Intelligence Index29.116.7Claude Opus 4.5
Epoch Capabilities Index150.1141.9Claude Opus 4.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 4.5 and Gemma 4 26B A4B
BenchmarkClaude Opus 4.5Gemma 4 26B A4BLeader
AA Agentic IndexNot measured2.9Only Gemma 4 26B A4B measured
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%43.6%Claude Opus 4.5
METR time horizons75.0%Not measuredOnly Claude Opus 4.5 measured
Remote Labor Index3.8%Not measuredOnly Claude Opus 4.5 measured
GDPval45.5%Not measuredOnly Claude Opus 4.5 measured
BALROG43.5%Not measuredOnly Claude Opus 4.5 measured
DeepResearch Bench54.8%Not measuredOnly Claude Opus 4.5 measured
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 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Opus 4.5 and Gemma 4 26B A4B
BenchmarkClaude Opus 4.5Gemma 4 26B A4BLeader
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%79.2%Claude Opus 4.5
Humanity's Last Exam (Artificial Analysis run)30.1%19.3%Claude Opus 4.5
GPQA Diamond (Epoch AI run)86.0%73.2%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%Not measuredOnly Claude Opus 4.5 measured
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%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: hard prompts14761438Claude Opus 4.5
LMArena Text: expert14871447Claude Opus 4.5
LMArena Text: hard prompts in English14821448Claude Opus 4.5
LMArena Vision: diagramsNot measured1264Only Gemma 4 26B A4B measured
LMArena Vision: homeworkNot measured1293Only Gemma 4 26B A4B measured
Kagi LLM Benchmark80.2%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for Claude Opus 4.5 and Gemma 4 26B A4B
BenchmarkClaude Opus 4.5Gemma 4 26B A4BLeader
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%82.2%Claude Opus 4.5
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: math14631470Gemma 4 26B A4B
LMArena Text: mathematical work14681475Gemma 4 26B A4B
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Claude Opus 4.5 and Gemma 4 26B A4B
BenchmarkClaude Opus 4.5Gemma 4 26B A4BLeader
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%Not measuredOnly Claude Opus 4.5 measured
SimpleQA Verified45.7%Not measuredOnly Claude Opus 4.5 measured
GeoBench75.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: science14541446Claude Opus 4.5
LMArena Text: medicine and healthcare14441428Claude Opus 4.5
LMArena Text: legal and government14591457Claude Opus 4.5
LMArena Text: business and finance14481429Claude Opus 4.5
FACTS Benchmark Suite43.9%42.7%Claude Opus 4.5
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 Gemma 4 26B A4B
BenchmarkClaude Opus 4.5Gemma 4 26B A4BLeader
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
GeneralLike-for-likePublic boards, shown as published, kept out of the index152
General benchmarks for Claude Opus 4.5 and Gemma 4 26B A4B
BenchmarkClaude Opus 4.5Gemma 4 26B A4BLeader
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%72.4%Gemma 4 26B A4B
Long context reasoning (AA-LCR)77.3%65.7%Claude Opus 4.5
DTBench89.9%74.9%Claude Opus 4.5
LMCA44.5%29.7%Claude Opus 4.5
CL-bench21.1%Not measuredOnly Claude Opus 4.5 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.5 measured
LMArena Text14511434Claude Opus 4.5
LMArena Text: instruction following14781420Claude Opus 4.5
LMArena Text: creative writing14451400Claude Opus 4.5
LMArena VisionNot measured1260Only Gemma 4 26B A4B measured
LMArena Text: English14611444Claude Opus 4.5
LMArena Text: non-English14381421Claude Opus 4.5
LMArena Text: Chinese14701495Gemma 4 26B A4B
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: French14711460Claude Opus 4.5
LMArena Text: Spanish14571415Claude Opus 4.5
LMArena Text: Russian14471434Claude Opus 4.5
LMArena Text: Polish1439Not measuredOnly Claude Opus 4.5 measured
LMArena Text: multi-turn14661441Claude Opus 4.5
LMArena Text: longer queries14791427Claude Opus 4.5
LMArena Text: writing and language14521405Claude Opus 4.5
LMArena Text: entertainment and media14341403Claude Opus 4.5
LMArena Vision: EnglishNot measured1256Only Gemma 4 26B A4B measured
LMArena Vision: ChineseNot measured1312Only Gemma 4 26B A4B measured
LMArena Vision: reading textNot measured1268Only Gemma 4 26B A4B measured
LMArena Vision: humorNot measured1272Only Gemma 4 26B A4B measured
LMArena Vision: captioningNot measured1297Only Gemma 4 26B A4B measured
LMArena Vision: recognizing thingsNot measured1191Only Gemma 4 26B A4B measured
LMArena Vision: creative writingNot measured1256Only Gemma 4 26B A4B measured
LMArena Document1462Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 12 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 Gemma 4 26B A4B
BenchmarkClaude Opus 4.5Gemma 4 26B A4BLeader
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
Gemma 4 26B A4B$0.0004Fits in one request

Gemma 4 26B A4B costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.5$0.325Fits in one request
Gemma 4 26B A4B$0.0093Fits in one request

Gemma 4 26B A4B costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.5$1.25Exceeds the context window
Gemma 4 26B A4B$0.036Fits in one request

Gemma 4 26B A4B 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 Gemma 4 26B A4B
SpecificationAnthropic Claude Opus 4.5Google Gemma 4 26B A4B
MakerAnthropicGoogle
WeightsNo public weights listedOpen weights
ReleasedNovember 24, 2025April 3, 2026
Context window200K262K
Input $/Mtok$5.00$0.15
Output $/Mtok$25.00$0.60
Coding index44.0Not benchmarked
Independent measurements behind it31
Cost per solved task$1.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.5 better than Gemma 4 26B A4B for coding?

Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding. Pick Gemma 4 26B A4B for output tokens 41.7x cheaper ($0.60 vs $25.00 per million) and a larger context window (262K against 200K tokens).

Which is cheaper, Claude Opus 4.5 or Gemma 4 26B A4B?

Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; Gemma 4 26B A4B costs $0.15 and $0.60. Cost per solved task is known for Claude Opus 4.5 only.

Which has the bigger context window, Claude Opus 4.5 or Gemma 4 26B A4B?

Gemma 4 26B A4B, with 262K tokens against 200K.

How many benchmarks is the Claude Opus 4.5 vs Gemma 4 26B A4B comparison based on?

41 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 Gemma 4 26B A4B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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