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Claude Opus 4.1 vs Gemma 3 27B

Claude Opus 4.1 leads Gemma 3 27B on the Artificial Analysis Intelligence Index, 22.8 to 4.9, and Gemma 3 27B costs 250.0x less per output token ($0.30 vs $75.00 per million). Updated October 22, 2026; 37 benchmarks have a result for both.

Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
37
Gemma 3 27BGoogle
Coding
No data
Overall
31.4
Output $/M
$0.30
0
vs boards won of 37 shared

Claude Opus 4.1 or Gemma 3 27B: which to pick

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

Pick Claude Opus 4.1 for a larger context window (200K against 131K tokens).

Shared results
37
Claude Opus 4.1 only
36
Gemma 3 27B only
29
Like-for-like categories
6 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, Gemma 3 27B not benchmarked.
Widest category
Math, 28.0 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: Claude Opus 4.1 68.9% against Gemma 3 27B 22.5%, 46.4 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Gemma 3 27B $0.30 per million output tokens, 250.0x apart.
Context window
Claude Opus 4.1 takes 200K 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 4.1BarsGemma 3 27BTies
Coding30
Intelligence20
Reasoning40
Math30
Knowledge50
General200
All shared boards370
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Opus 4.1 and Gemma 3 27B
BenchmarkClaude Opus 4.1Gemma 3 27BLeader
Aider polyglotNot measured4.9%Only Gemma 3 27B measured
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
AA Coding IndexNot measured10.1Only Gemma 3 27B measured
LiveCodeBench (Vals AI)66.5%Not measuredOnly Claude Opus 4.1 measured
LiveCodeBench (Artificial Analysis run)Not measured13.7%Only Gemma 3 27B measured
SciCodeNot measured23.3%Only Gemma 3 27B measured
Terminal-Bench Hard (Artificial Analysis run)Not measured3.8%Only Gemma 3 27B measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
WeirdML45.9%Not measuredOnly Claude Opus 4.1 measured
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding14791322Claude Opus 4.1
LMArena Text: software and IT14561354Claude Opus 4.1
LMArena WebDev: HTML1399Not measuredOnly Claude Opus 4.1 measured
SciCode4.6%0.0%Claude Opus 4.1
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.1 and Gemma 3 27B
BenchmarkClaude Opus 4.1Gemma 3 27BLeader
AA Intelligence Index22.84.9Claude Opus 4.1
Epoch Capabilities Index144.1130.0Claude Opus 4.1
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and Gemma 3 27B
BenchmarkClaude Opus 4.1Gemma 3 27BLeader
AA Agentic IndexNot measured0.1Only Gemma 3 27B measured
τ²-Bench TelecomNot measured10.5%Only Gemma 3 27B measured
METR time horizons66.8%Not measuredOnly Claude Opus 4.1 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured29.5%Only Gemma 3 27B measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for Claude Opus 4.1 and Gemma 3 27B
BenchmarkClaude Opus 4.1Gemma 3 27BLeader
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 measured42.8%Only Gemma 3 27B measured
Humanity's Last Exam (Artificial Analysis run)Not measured4.4%Only Gemma 3 27B measured
GPQA Diamond (Epoch AI run)77.3%47.7%Claude Opus 4.1
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 measured
Mystery game puzzles21.0%Not measuredOnly Claude Opus 4.1 measured
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421340Claude Opus 4.1
LMArena Text: expert14381304Claude Opus 4.1
LMArena Text: hard prompts in English14511353Claude Opus 4.1
LMArena Vision: diagramsNot measured1156Only Gemma 3 27B measured
LMArena Vision: homeworkNot measured1160Only Gemma 3 27B measured
Kagi LLM BenchmarkNot measured35.1%Only Gemma 3 27B measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 4.1 and Gemma 3 27B
BenchmarkClaude Opus 4.1Gemma 3 27BLeader
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
AA Math IndexNot measured20.7Only Gemma 3 27B measured
AIME 2025 (Artificial Analysis run)Not measured20.7%Only Gemma 3 27B measured
OTIS Mock AIME68.9%22.5%Claude Opus 4.1
FrontierMath, tiers 1 to 312.6%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
MATH level 5Not measured74.0%Only Gemma 3 27B measured
LMArena Text: math14311312Claude Opus 4.1
LMArena Text: mathematical work14341327Claude Opus 4.1
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Claude Opus 4.1 and Gemma 3 27B
BenchmarkClaude Opus 4.1Gemma 3 27BLeader
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 measured66.9%Only Gemma 3 27B measured
GeoBenchNot measured52.0%Only Gemma 3 27B measured
LMArena Text: science14221383Claude Opus 4.1
LMArena Text: medicine and healthcare14161391Claude Opus 4.1
LMArena Text: legal and government14211375Claude Opus 4.1
LMArena Text: business and finance14061360Claude Opus 4.1
FACTS Benchmark Suite40.4%29.1%Claude Opus 4.1
Neither model has a result on the other 5 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 Gemma 3 27B
BenchmarkClaude Opus 4.1Gemma 3 27BLeader
Design Arena: websites1176Not measuredOnly Claude Opus 4.1 measured
Design Arena: UI components1162Not 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: 3D1152Not measuredOnly Claude Opus 4.1 measured
Design Arena: all code categories1170Not 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
GeneralLike-for-likePublic boards, shown as published, kept out of the index200
General benchmarks for Claude Opus 4.1 and Gemma 3 27B
BenchmarkClaude Opus 4.1Gemma 3 27BLeader
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%Not measuredOnly Claude Opus 4.1 measured
IFBenchNot measured31.8%Only Gemma 3 27B measured
Long context reasoning (AA-LCR)Not measured7.3%Only Gemma 3 27B measured
DTBench80.0%52.5%Claude Opus 4.1
LMCA37.1%12.3%Claude Opus 4.1
Fiction.LiveBenchNot measured33.3%Only Gemma 3 27B measured
Creative writing (Lech Mazur)84.7%79.9%Claude Opus 4.1
LMArena Text14191358Claude Opus 4.1
LMArena Text: instruction following14351321Claude Opus 4.1
LMArena Text: creative writing14121345Claude Opus 4.1
LMArena VisionNot measured1165Only Gemma 3 27B measured
LMArena Text: English14331377Claude Opus 4.1
LMArena Text: non-English14051334Claude Opus 4.1
LMArena Text: Chinese14271346Claude Opus 4.1
LMArena Text: German14131362Claude Opus 4.1
LMArena Text: Japanese13771287Claude Opus 4.1
LMArena Text: Korean13811308Claude Opus 4.1
LMArena Text: French14331368Claude Opus 4.1
LMArena Text: Spanish14481349Claude Opus 4.1
LMArena Text: Russian14221349Claude Opus 4.1
LMArena Text: Polish14131345Claude Opus 4.1
LMArena Text: multi-turn14441345Claude Opus 4.1
LMArena Text: longer queries14551333Claude Opus 4.1
LMArena Text: writing and language14181347Claude Opus 4.1
LMArena Text: entertainment and media13981320Claude Opus 4.1
LMArena Vision: EnglishNot measured1188Only Gemma 3 27B measured
LMArena Vision: ChineseNot measured1164Only Gemma 3 27B measured
LMArena Vision: reading textNot measured1156Only Gemma 3 27B measured
LMArena Vision: humorNot measured1166Only Gemma 3 27B measured
LMArena Vision: captioningNot measured1151Only Gemma 3 27B measured
LMArena Vision: recognizing thingsNot measured1196Only Gemma 3 27B measured
LMArena Vision: creative writingNot measured1177Only Gemma 3 27B measured
Neither model has a result on the other 13 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 Gemma 3 27B
BenchmarkClaude Opus 4.1Gemma 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 4.1$0.052Fits in one request
Gemma 3 27B$0.0002Fits in one request

Gemma 3 27B costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
Gemma 3 27B$0.0049Fits in one request

Gemma 3 27B costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
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 4.1 and Gemma 3 27B
SpecificationAnthropic Claude Opus 4.1Google Gemma 3 27B
MakerAnthropicGoogle
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2025March 12, 2025
Context window200K131K
Input $/Mtok$15.00$0.08
Output $/Mtok$75.00$0.30
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 Gemma 3 27B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for a larger context window (200K against 131K tokens).

Which is cheaper, Claude Opus 4.1 or Gemma 3 27B?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Gemma 3 27B costs $0.08 and $0.30. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 4.1 or Gemma 3 27B?

Claude Opus 4.1, with 200K tokens against 131K.

How many benchmarks is the Claude Opus 4.1 vs Gemma 3 27B comparison based on?

37 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Gemma 3 27B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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