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Claude Opus 4.6 vs Gemma 3 12B

Claude Opus 4.6 leads Gemma 3 12B on the Artificial Analysis Intelligence Index, 31.9 to 3.8, and Gemma 3 12B costs 153.8x less per output token ($0.1625 vs $25.00 per million). Updated October 22, 2026; 34 benchmarks have a result for both.

Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
34
Gemma 3 12BGoogle
Coding
No data
Overall
28.0
Output $/M
$0.1625
0
vs boards won of 34 shared

Claude Opus 4.6 or Gemma 3 12B: which to pick

Only Claude Opus 4.6 has a coding score, 57.2 on the Vibe Coding Index; Gemma 3 12B has none, so the two cannot be ranked on coding.

Pick Gemma 3 12B for output tokens 153.8x cheaper ($0.1625 vs $25.00 per million).

Shared results
34
Claude Opus 4.6 only
76
Gemma 3 12B only
9
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 4.6 57.2 from 4 benchmarks, Gemma 3 12B not benchmarked.
Widest category
Agentic work, 81.3 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Claude Opus 4.6 92.1% against Gemma 3 12B 10.8%, 81.3 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against Gemma 3 12B $0.1625 per million output tokens, 153.8x apart.
Context window
Claude Opus 4.6 takes 1M tokens, Gemma 3 12B 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 4.6BarsGemma 3 12BTies
Coding30
Intelligence20
Agentic work10
Reasoning60
Math30
Knowledge40
General150
All shared boards340
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Opus 4.6 and Gemma 3 12B
BenchmarkClaude Opus 4.6Gemma 3 12BLeader
SWE-bench Verified75.6%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev1547Not measuredOnly Claude Opus 4.6 measured
AA Coding IndexNot measured5.8Only Gemma 3 12B measured
LiveCodeBench (Vals AI)84.7%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Verified (Vals AI)78.2%Not measuredOnly Claude Opus 4.6 measured
Vibe Code Bench (Vals AI)57.6%Not measuredOnly Claude Opus 4.6 measured
LiveCodeBench (Artificial Analysis run)Not measured13.7%Only Gemma 3 12B measured
SciCodeNot measured16.4%Only Gemma 3 12B measured
Terminal-Bench Hard (Artificial Analysis run)48.5%0.8%Claude Opus 4.6
Terminal-Bench79.8%Not measuredOnly Claude Opus 4.6 measured
FrontierCode26.6%Not measuredOnly Claude Opus 4.6 measured
GSO-Bench41.2%Not measuredOnly Claude Opus 4.6 measured
WeirdML78.0%Not measuredOnly Claude Opus 4.6 measured
Cybench93.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: coding15341281Claude Opus 4.6
LMArena Text: software and IT15271313Claude Opus 4.6
LMArena WebDev: React1539Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: HTML1559Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: from an image1543Not measuredOnly Claude Opus 4.6 measured
SciCodeNot measured0.0%Only Gemma 3 12B measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.6 and Gemma 3 12B
BenchmarkClaude Opus 4.6Gemma 3 12BLeader
AA Intelligence Index31.93.8Claude Opus 4.6
Epoch Capabilities Index155.7123.5Claude Opus 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 4.6 and Gemma 3 12B
BenchmarkClaude Opus 4.6Gemma 3 12BLeader
AA Agentic IndexNot measured0.1Only Gemma 3 12B measured
Design Arena: agents building web apps1206Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building full-stack apps1220Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building mobile apps1207Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building Android apps1197Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building games1212Not measuredOnly Claude Opus 4.6 measured
τ²-Bench Telecom92.1%10.8%Claude Opus 4.6
APEX-Agents46.3%Not measuredOnly Claude Opus 4.6 measured
METR time horizons78.9%Not measuredOnly Claude Opus 4.6 measured
Remote Labor Index4.2%Not measuredOnly Claude Opus 4.6 measured
DeepResearch Bench55.3%Not measuredOnly Claude Opus 4.6 measured
Vending-Bench 2$8,018Not measuredOnly Claude Opus 4.6 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured30.4%Only Gemma 3 12B measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Opus 4.6 and Gemma 3 12B
BenchmarkClaude Opus 4.6Gemma 3 12BLeader
GPQA Diamond89.7%Not measuredOnly Claude Opus 4.6 measured
MMMU Pro (Vals AI)83.9%Not measuredOnly Claude Opus 4.6 measured
GPQA Diamond (Artificial Analysis run)89.6%34.9%Claude Opus 4.6
Humanity's Last Exam (Artificial Analysis run)39.9%4.2%Claude Opus 4.6
GPQA Diamond (Epoch AI run)90.5%39.5%Claude Opus 4.6
ARC-AGI94.0%Not measuredOnly Claude Opus 4.6 measured
ARC-AGI-269.2%Not measuredOnly Claude Opus 4.6 measured
SimpleBench67.6%Not measuredOnly Claude Opus 4.6 measured
Chess puzzles21.0%Not measuredOnly Claude Opus 4.6 measured
Mystery game puzzles25.0%Not measuredOnly Claude Opus 4.6 measured
EBR-bench12.7%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: hard prompts15251309Claude Opus 4.6
LMArena Text: expert15441248Claude Opus 4.6
LMArena Text: hard prompts in English15301318Claude Opus 4.6
LMArena Vision: diagrams1340Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.6 measured
Kagi LLM Benchmark83.6%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 4.6 and Gemma 3 12B
BenchmarkClaude Opus 4.6Gemma 3 12BLeader
AIME95.6%Not measuredOnly Claude Opus 4.6 measured
AA Math IndexNot measured18.3Only Gemma 3 12B measured
AIME 2025 (Artificial Analysis run)Not measured18.3%Only Gemma 3 12B measured
OTIS Mock AIME94.4%16.7%Claude Opus 4.6
FrontierMath, tiers 1 to 366.0%Not measuredOnly Claude Opus 4.6 measured
FrontierMath, tier 426.8%Not measuredOnly Claude Opus 4.6 measured
ProofBench50.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: math15181307Claude Opus 4.6
LMArena Text: mathematical work15251336Claude Opus 4.6
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 4.6 and Gemma 3 12B
BenchmarkClaude Opus 4.6Gemma 3 12BLeader
MMLU Pro89.1%Not measuredOnly Claude Opus 4.6 measured
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.6 measured
CaseLaw (Vals AI)62.1%Not measuredOnly Claude Opus 4.6 measured
CorpFin (Vals AI)67.0%Not measuredOnly Claude Opus 4.6 measured
TaxEval (Vals AI)76.0%Not measuredOnly Claude Opus 4.6 measured
MortgageTax (Vals AI)68.5%Not measuredOnly Claude Opus 4.6 measured
MedQA (Vals AI)95.4%Not measuredOnly Claude Opus 4.6 measured
MedCode (Vals AI)49.1%Not measuredOnly Claude Opus 4.6 measured
MMLU Pro (Artificial Analysis run)Not measured59.5%Only Gemma 3 12B measured
SimpleQA Verified47.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: science15191366Claude Opus 4.6
LMArena Text: medicine and healthcare15041334Claude Opus 4.6
LMArena Text: legal and government15121381Claude Opus 4.6
LMArena Text: business and finance14971376Claude Opus 4.6
FACTS Benchmark Suite41.5%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.6 and Gemma 3 12B
BenchmarkClaude Opus 4.6Gemma 3 12BLeader
Design Arena: websites1291Not measuredOnly Claude Opus 4.6 measured
Design Arena: UI components1281Not measuredOnly Claude Opus 4.6 measured
Design Arena: game dev1277Not measuredOnly Claude Opus 4.6 measured
Design Arena: data viz1279Not measuredOnly Claude Opus 4.6 measured
Design Arena: 3D1273Not measuredOnly Claude Opus 4.6 measured
Design Arena: all code categories1288Not measuredOnly Claude Opus 4.6 measured
Design Arena: SVG1227Not measuredOnly Claude Opus 4.6 measured
Design Arena: ASCII art1255Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
General benchmarks for Claude Opus 4.6 and Gemma 3 12B
BenchmarkClaude Opus 4.6Gemma 3 12BLeader
SAGE (Vals AI)51.6%Not measuredOnly Claude Opus 4.6 measured
MedScribe (Vals AI)86.7%Not measuredOnly Claude Opus 4.6 measured
IFBench53.1%36.7%Claude Opus 4.6
Long context reasoning (AA-LCR)78.0%8.3%Claude Opus 4.6
DTBench91.2%48.8%Claude Opus 4.6
LMCA55.8%4.5%Claude Opus 4.6
CL-bench20.7%Not measuredOnly Claude Opus 4.6 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.6 measured
CL-bench Life17.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text15011334Claude Opus 4.6
LMArena Text: instruction following15211299Claude Opus 4.6
LMArena Text: creative writing15051331Claude Opus 4.6
LMArena Vision1316Not measuredOnly Claude Opus 4.6 measured
LMArena Text: English15111349Claude Opus 4.6
LMArena Text: non-English14881318Claude Opus 4.6
LMArena Text: Chinese1551Not measuredOnly Claude Opus 4.6 measured
LMArena Text: German15001370Claude Opus 4.6
LMArena Text: Japanese1488Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Korean1464Not measuredOnly Claude Opus 4.6 measured
LMArena Text: French1512Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Spanish1510Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Russian14971335Claude Opus 4.6
LMArena Text: Polish1499Not measuredOnly Claude Opus 4.6 measured
LMArena Text: multi-turn15111334Claude Opus 4.6
LMArena Text: longer queries15181317Claude Opus 4.6
LMArena Text: writing and language15021307Claude Opus 4.6
LMArena Text: entertainment and media14921297Claude Opus 4.6
LMArena Vision: English1324Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: Chinese1370Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: reading text1326Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: humor1314Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: recognizing things1274Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: creative writing1331Not measuredOnly Claude Opus 4.6 measured
LMArena Document1507Not measuredOnly Claude Opus 4.6 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 4.6 and Gemma 3 12B
BenchmarkClaude Opus 4.6Gemma 3 12BLeader
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 4.6$0.018Fits in one request
Gemma 3 12B$0.0002Fits in one request

Gemma 3 12B costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request
Gemma 3 12B$0.0042Fits in one request

Gemma 3 12B costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request
Gemma 3 12B$0.017Exceeds the context window

Gemma 3 12B 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 4.6 and Gemma 3 12B
SpecificationAnthropic Claude Opus 4.6Google Gemma 3 12B
MakerAnthropicGoogle
WeightsNo public weights listedOpen weights
ReleasedFebruary 4, 2026March 13, 2025
Context window1M131K
Input $/Mtok$5.00$0.075
Output $/Mtok$25.00$0.1625
Coding index57.2Not benchmarked
Independent measurements behind it40
Cost per solved task$1.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.6 better than Gemma 3 12B for coding?

Only Claude Opus 4.6 has a coding score, 57.2 on the Vibe Coding Index; Gemma 3 12B has none, so the two cannot be ranked on coding. Pick Gemma 3 12B for output tokens 153.8x cheaper ($0.1625 vs $25.00 per million).

Which is cheaper, Claude Opus 4.6 or Gemma 3 12B?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; Gemma 3 12B costs $0.075 and $0.1625. Cost per solved task is known for Claude Opus 4.6 only.

Which has the bigger context window, Claude Opus 4.6 or Gemma 3 12B?

Claude Opus 4.6, with 1M tokens against 131K.

How many benchmarks is the Claude Opus 4.6 vs Gemma 3 12B comparison based on?

34 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.6's coding index rests on 4 independent benchmarks and Gemma 3 12B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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