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Claude Opus 5 vs Gemma 3 27B

Updated October 21, 2026. 48 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 5Anthropic
Coding
81.8
Overall
50.8
Output $/M
$25.00
48
Gemma 3 27BGoogle
Coding
4.9
Overall
4.9
Output $/M
$0.35
0
vs boards won of 48 shared

Decision reading

Pick Claude Opus 5 for coding: it scores 81.8 on the Vibe Coding Index against 4.9 for Gemma 3 27B.

Pick Gemma 3 27B when output tokens cost 71.4x less.

Shared results
48
Claude Opus 5 only
82
Gemma 3 27B only
14
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 5 81.8 from 2 benchmarks, Gemma 3 27B 4.9 from 1 benchmark.
Widest category
Agentic work, 56.4 points apart on average over 1 shared benchmark.
Widest single gap
OTIS Mock AIME: Claude Opus 5 98.9% against Gemma 3 27B 22.5%, 76.4 points apart on a 0 to 100 scale.
Output price
Claude Opus 5 $25.00 against Gemma 3 27B $0.35 per million output tokens, 71.4x apart.
Context window
Claude Opus 5 takes 1M tokens, Gemma 3 27B 131K.

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 5BarsGemma 3 27BTies
Coding40
Intelligence20
Agentic work10
Reasoning80
Math30
Knowledge40
General260
All shared boards480
CodingLike-for-likeFour of these boards feed the Vibe Coding Index40
Coding benchmarks for Claude Opus 5 and Gemma 3 27B
BenchmarkClaude Opus 5Gemma 3 27BLeader
Aider polyglotNot measured4.9%Only Gemma 3 27B measured
LiveBench coding90.8%Not measuredOnly Claude Opus 5 measured
LMArena WebDev1689Not measuredOnly Claude Opus 5 measured
AA Coding Index78.010.1Claude Opus 5
LiveCodeBench (Vals AI)89.0%Not measuredOnly Claude Opus 5 measured
SWE-bench Verified (Vals AI)97.0%Not measuredOnly Claude Opus 5 measured
Terminal-Bench 4 (Vals AI)53.5%Not measuredOnly Claude Opus 5 measured
Vibe Code Bench (Vals AI)88.4%Not measuredOnly Claude Opus 5 measured
Code migration (Vals AI)57.5%Not measuredOnly Claude Opus 5 measured
ProgramBench (Vals AI)3.0%Not measuredOnly Claude Opus 5 measured
IOI (Vals AI)84.3%Not measuredOnly Claude Opus 5 measured
Terminal-Bench 2.1 (Vals AI)84.6%Not measuredOnly Claude Opus 5 measured
Vibe Code Bench 1-100 (Vals AI)28.5%Not measuredOnly Claude Opus 5 measured
SkillsBench (Vals AI)60.4%Not measuredOnly Claude Opus 5 measured
CyberBench (Vals AI)65.4%Not measuredOnly Claude Opus 5 measured
LiveCodeBench (Artificial Analysis run)Not measured13.7%Only Gemma 3 27B measured
SciCode56.4%23.3%Claude Opus 5
Terminal-Bench Hard (Artificial Analysis run)Not measured3.8%Only Gemma 3 27B measured
FrontierCode53.4%Not measuredOnly Claude Opus 5 measured
FrontierSWE52.0%Not measuredOnly Claude Opus 5 measured
WeirdML91.8%Not measuredOnly Claude Opus 5 measured
ALE-Bench2164.6Not measuredOnly Claude Opus 5 measured
LMArena Text: coding15331322Claude Opus 5
LMArena Text: software and IT15271354Claude Opus 5
LMArena WebDev: React1711Not measuredOnly Claude Opus 5 measured
LMArena WebDev: HTML1680Not measuredOnly Claude Opus 5 measured
LMArena WebDev: from an image1662Not measuredOnly Claude Opus 5 measured
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 5 and Gemma 3 27B
BenchmarkClaude Opus 5Gemma 3 27BLeader
AA Intelligence Index50.84.9Claude Opus 5
Epoch Capabilities Index163.9130.0Claude Opus 5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 5 and Gemma 3 27B
BenchmarkClaude Opus 5Gemma 3 27BLeader
AA Agentic Index56.50.1Claude Opus 5
Design Arena: agents building web apps1266Not measuredOnly Claude Opus 5 measured
Design Arena: agents building full-stack apps1306Not measuredOnly Claude Opus 5 measured
Design Arena: agents building mobile apps1348Not measuredOnly Claude Opus 5 measured
Design Arena: agents building Android apps1258Not measuredOnly Claude Opus 5 measured
Design Arena: agents building Godot games1279Not measuredOnly Claude Opus 5 measured
Design Arena: agents building games1261Not measuredOnly Claude Opus 5 measured
Design Arena: PowerPoint slides1265Not measuredOnly Claude Opus 5 measured
LiveBench research88.9%Not measuredOnly Claude Opus 5 measured
LiveBench browser84.0%Not measuredOnly Claude Opus 5 measured
LiveBench long agentic62.1%Not measuredOnly Claude Opus 5 measured
SREBench (Vals AI)12.2%Not measuredOnly Claude Opus 5 measured
Finance Agent (Vals AI)58.6%Not measuredOnly Claude Opus 5 measured
Tax Agent Bench (Vals AI)45.5%Not measuredOnly Claude Opus 5 measured
Legal Research Bench (Vals AI)55.3%Not measuredOnly Claude Opus 5 measured
Excel Modeling Benchmark (Vals AI)73.6%Not measuredOnly Claude Opus 5 measured
BioMysteryBench (Vals AI)79.3%Not measuredOnly Claude Opus 5 measured
Terminal-Bench-Science (Vals AI)27.1%Not measuredOnly Claude Opus 5 measured
Vals Science Index47.9%Not measuredOnly Claude Opus 5 measured
Time Horizon Index (Vals AI)18.8%Not measuredOnly Claude Opus 5 measured
CUA-bench (Vals AI)9.0%Not measuredOnly Claude Opus 5 measured
τ²-Bench TelecomNot measured10.5%Only Gemma 3 27B measured
APEX-Agents65.8%Not measuredOnly Claude Opus 5 measured
OSWorld 2.031.4%Not measuredOnly Claude Opus 5 measured
BALROG63.4%Not measuredOnly Claude Opus 5 measured
PostTrainBench35.0%Not measuredOnly Claude Opus 5 measured
Vending-Bench 2$11,182Not measuredOnly Claude Opus 5 measured
LMArena Search1242Not measuredOnly Claude Opus 5 measured
Neither model has a result on the other 11 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Claude Opus 5 and Gemma 3 27B
BenchmarkClaude Opus 5Gemma 3 27BLeader
GPQA Diamond93.4%Not measuredOnly Claude Opus 5 measured
LiveBench reasoning91.2%Not measuredOnly Claude Opus 5 measured
MysteryMechanism (Vals AI)37.4%Not measuredOnly Claude Opus 5 measured
MMMU Pro (Vals AI)89.9%Not measuredOnly Claude Opus 5 measured
GPQA Diamond (Artificial Analysis run)93.7%42.8%Claude Opus 5
Humanity's Last Exam (Artificial Analysis run)54.9%4.4%Claude Opus 5
GPQA Diamond (Epoch AI run)93.9%47.7%Claude Opus 5
ARC-AGI97.5%Not measuredOnly Claude Opus 5 measured
ARC-AGI-290.4%Not measuredOnly Claude Opus 5 measured
SimpleBench80.6%Not measuredOnly Claude Opus 5 measured
Chess puzzles43.0%Not measuredOnly Claude Opus 5 measured
Mystery game puzzles59.0%Not measuredOnly Claude Opus 5 measured
EBR-bench45.7%Not measuredOnly Claude Opus 5 measured
LMArena Text: hard prompts15271340Claude Opus 5
LMArena Text: expert15541304Claude Opus 5
LMArena Text: hard prompts in English15231353Claude Opus 5
LMArena Vision: diagrams13481156Claude Opus 5
LMArena Vision: homework13381160Claude Opus 5
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 5 and Gemma 3 27B
BenchmarkClaude Opus 5Gemma 3 27BLeader
AA Math IndexNot measured20.7Only Gemma 3 27B measured
AIME 2025 (Artificial Analysis run)Not measured20.7%Only Gemma 3 27B measured
OTIS Mock AIME98.9%22.5%Claude Opus 5
FrontierMath, tiers 1 to 385.6%Not measuredOnly Claude Opus 5 measured
FrontierMath, tier 473.2%Not measuredOnly Claude Opus 5 measured
ProofBench99.0%Not measuredOnly Claude Opus 5 measured
MATH level 5Not measured74.0%Only Gemma 3 27B measured
LMArena Text: math15331312Claude Opus 5
LMArena Text: mathematical work15441327Claude Opus 5
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Opus 5 and Gemma 3 27B
BenchmarkClaude Opus 5Gemma 3 27BLeader
MMLU Pro91.6%Not measuredOnly Claude Opus 5 measured
LegalBench (Vals AI)87.0%Not measuredOnly Claude Opus 5 measured
CorpFin (Vals AI)73.2%Not measuredOnly Claude Opus 5 measured
TaxEval (Vals AI)75.1%Not measuredOnly Claude Opus 5 measured
MortgageTax (Vals AI)72.1%Not measuredOnly Claude Opus 5 measured
MedCode (Vals AI)63.6%Not measuredOnly Claude Opus 5 measured
MMLU Pro (Artificial Analysis run)Not measured66.9%Only Gemma 3 27B measured
SimpleQA Verified59.9%Not measuredOnly Claude Opus 5 measured
GeoBenchNot measured52.0%Only Gemma 3 27B measured
LMArena Text: science15311383Claude Opus 5
LMArena Text: medicine and healthcare15251391Claude Opus 5
LMArena Text: legal and government15301375Claude Opus 5
LMArena Text: business and finance15011360Claude Opus 5
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Opus 5 and Gemma 3 27B
BenchmarkClaude Opus 5Gemma 3 27BLeader
Design Arena: websites1309Not measuredOnly Claude Opus 5 measured
Design Arena: UI components1348Not measuredOnly Claude Opus 5 measured
Design Arena: game dev1339Not measuredOnly Claude Opus 5 measured
Design Arena: data viz1329Not measuredOnly Claude Opus 5 measured
Design Arena: 3D1335Not measuredOnly Claude Opus 5 measured
Design Arena: all code categories1324Not measuredOnly Claude Opus 5 measured
Design Arena: SVG1310Not measuredOnly Claude Opus 5 measured
Design Arena: ASCII art1352Not measuredOnly Claude Opus 5 measured
LiveBench design83.0%Not measuredOnly Claude Opus 5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index260
General benchmarks for Claude Opus 5 and Gemma 3 27B
BenchmarkClaude Opus 5Gemma 3 27BLeader
LiveBench data analysis74.6%Not measuredOnly Claude Opus 5 measured
Public Benefits Bench (Vals AI)76.9%Not measuredOnly Claude Opus 5 measured
SAGE (Vals AI)49.4%Not measuredOnly Claude Opus 5 measured
MedScribe (Vals AI)91.0%Not measuredOnly Claude Opus 5 measured
Vals Multimodal Index73.9%Not measuredOnly Claude Opus 5 measured
IFBenchNot measured31.8%Only Gemma 3 27B measured
Long context reasoning (AA-LCR)82.0%7.3%Claude Opus 5
DTBench97.9%52.5%Claude Opus 5
LMCA64.5%12.3%Claude Opus 5
Fiction.LiveBenchNot measured33.3%Only Gemma 3 27B measured
Creative writing (Lech Mazur)Not measured79.9%Only Gemma 3 27B measured
Furniture assembly60.8%Not measuredOnly Claude Opus 5 measured
LMArena Text15091358Claude Opus 5
LMArena Text: instruction following15181321Claude Opus 5
LMArena Text: creative writing14931345Claude Opus 5
LMArena Vision13201165Claude Opus 5
LMArena Text: English15081377Claude Opus 5
LMArena Text: non-English15021334Claude Opus 5
LMArena Text: Chinese15731346Claude Opus 5
LMArena Text: German15271362Claude Opus 5
LMArena Text: Japanese15201287Claude Opus 5
LMArena Text: Korean15171308Claude Opus 5
LMArena Text: French15191368Claude Opus 5
LMArena Text: Spanish15231349Claude Opus 5
LMArena Text: Russian15071349Claude Opus 5
LMArena Text: Polish15221345Claude Opus 5
LMArena Text: multi-turn15001345Claude Opus 5
LMArena Text: longer queries15171333Claude Opus 5
LMArena Text: writing and language14991347Claude Opus 5
LMArena Text: entertainment and media14811320Claude Opus 5
LMArena Vision: English13151188Claude Opus 5
LMArena Vision: Chinese14001164Claude Opus 5
LMArena Vision: reading text13291156Claude Opus 5
LMArena Vision: humor12931166Claude Opus 5
LMArena Vision: captioningNot measured1151Only Gemma 3 27B measured
LMArena Vision: recognizing thingsNot measured1196Only Gemma 3 27B measured
LMArena Vision: creative writing13131177Claude Opus 5
LMArena Document1516Not measuredOnly Claude Opus 5 measured
Neither model has a result on the other 8 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 5 and Gemma 3 27B
BenchmarkClaude Opus 5Gemma 3 27BLeader
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 5$0.018Fits in one request
Gemma 3 27B$0.0003Fits in one request

Gemma 3 27B costs less

Repository review

50K input + 3K output tokens

Claude Opus 5$0.325Fits in one request
Gemma 3 27B$0.0050Fits in one request

Gemma 3 27B costs less

Agent loop

200K input + 10K output tokens

Claude Opus 5$1.25Fits in one request
Gemma 3 27B$0.019Exceeds the context window

Gemma 3 27B 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 5 and Gemma 3 27B
SpecificationAnthropic Claude Opus 5Google Gemma 3 27B
MakerAnthropicGoogle
WeightsNo public weights listedOpen weights
ReleasedJuly 24, 2026March 12, 2025
Context window1M131K
Input $/Mtok$5.00$0.08
Output $/Mtok$25.00$0.35
Coding index81.84.9
Independent measurements behind it21
Cost per solved task$1.33Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 5 better than Gemma 3 27B for coding?

Pick Claude Opus 5 for coding: it scores 81.8 on the Vibe Coding Index against 4.9 for Gemma 3 27B. Pick Gemma 3 27B when output tokens cost 71.4x less.

Which is cheaper, Claude Opus 5 or Gemma 3 27B?

Claude Opus 5 costs $5.00 per million input tokens and $25.00 per million output tokens; Gemma 3 27B costs $0.08 and $0.35. Cost per solved task is known for Claude Opus 5 only.

Which has the bigger context window, Claude Opus 5 or Gemma 3 27B?

Claude Opus 5, with 1M tokens against 131K.

How many benchmarks is the Claude Opus 5 vs Gemma 3 27B comparison based on?

48 benchmarks have a result for both models as of October 21, 2026. Claude Opus 5's coding index rests on 2 independent benchmarks and Gemma 3 27B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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