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Claude Opus 5.5 vs Gemma 3 12B

Claude Opus 5.5 leads Gemma 3 12B on the Artificial Analysis Intelligence Index, 57.6 to 3.8, and Gemma 3 12B costs 123.1x less per output token ($0.1625 vs $20.00 per million). Updated October 21, 2026; 31 benchmarks have a result for both.

Claude Opus 5.5Anthropic
Coding
88.8
Overall
87.1
Output $/M
$20.00
31
Gemma 3 12BGoogle
Coding
No data
Overall
28.0
Output $/M
$0.1625
0
vs boards won of 31 shared

Claude Opus 5.5 or Gemma 3 12B: which to pick

Only Claude Opus 5.5 has a coding score, 88.8 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 123.1x cheaper ($0.1625 vs $20.00 per million).

Shared results
31
Claude Opus 5.5 only
78
Gemma 3 12B only
12
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 5.5 88.8 from 5 benchmarks, Gemma 3 12B not benchmarked.
Widest category
Intelligence, 55.2 points apart on average over 2 shared benchmarks.
Widest single gap
OTIS Mock AIME: Claude Opus 5.5 100.0% against Gemma 3 12B 16.7%, 83.3 points apart on a 0 to 100 scale.
Output price
Claude Opus 5.5 $20.00 against Gemma 3 12B $0.1625 per million output tokens, 123.1x apart.
Context window
Claude Opus 5.5 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 5.5BarsGemma 3 12BTies
Coding40
Intelligence20
Reasoning50
Math30
Knowledge40
General130
All shared boards310
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for Claude Opus 5.5 and Gemma 3 12B
BenchmarkClaude Opus 5.5Gemma 3 12BLeader
LiveBench coding96.3%Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev1807Not measuredOnly Claude Opus 5.5 measured
AA Coding IndexNot measured5.8Only Gemma 3 12B measured
Terminal-Bench 4 (Vals AI)65.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench (Vals AI)90.3%Not measuredOnly Claude Opus 5.5 measured
Code migration (Vals AI)66.7%Not measuredOnly Claude Opus 5.5 measured
ProgramBench (Vals AI)18.5%Not measuredOnly Claude Opus 5.5 measured
IOI (Vals AI)95.1%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench 2.1 (Vals AI)87.6%Not measuredOnly Claude Opus 5.5 measured
SWE-bench Multimodal (Vals AI)70.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench 1-100 (Vals AI)30.4%Not measuredOnly Claude Opus 5.5 measured
CyberBench (Vals AI)74.6%Not measuredOnly Claude Opus 5.5 measured
LiveCodeBench (Artificial Analysis run)Not measured13.7%Only Gemma 3 12B measured
SciCode66.9%16.4%Claude Opus 5.5
Terminal-Bench Hard (Artificial Analysis run)Not measured0.8%Only Gemma 3 12B measured
FrontierCode54.6%Not measuredOnly Claude Opus 5.5 measured
FrontierSWE62.3%Not measuredOnly Claude Opus 5.5 measured
MirrorCode77.4%Not measuredOnly Claude Opus 5.5 measured
ALE-Bench2147.4Not measuredOnly Claude Opus 5.5 measured
LMArena Text: coding15451281Claude Opus 5.5
LMArena Text: software and IT15381313Claude Opus 5.5
LMArena WebDev: React1855Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev: HTML1753Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev: from an image1753Not measuredOnly Claude Opus 5.5 measured
SciCode18.5%0.0%Claude Opus 5.5
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 5.5 and Gemma 3 12B
BenchmarkClaude Opus 5.5Gemma 3 12BLeader
AA Intelligence Index57.63.8Claude Opus 5.5
Epoch Capabilities Index168.8123.5Claude Opus 5.5
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index26 boards, none shared
Agentic work benchmarks for Claude Opus 5.5 and Gemma 3 12B
BenchmarkClaude Opus 5.5Gemma 3 12BLeader
AA Agentic IndexNot measured0.1Only Gemma 3 12B measured
Design Arena: agents building web apps1317Not measuredOnly Claude Opus 5.5 measured
Design Arena: agents building mobile apps1310Not measuredOnly Claude Opus 5.5 measured
Design Arena: spreadsheets1352Not measuredOnly Claude Opus 5.5 measured
LiveBench research85.0%Not measuredOnly Claude Opus 5.5 measured
LiveBench browser80.0%Not measuredOnly Claude Opus 5.5 measured
LiveBench long agentic85.0%Not measuredOnly Claude Opus 5.5 measured
SREBench (Vals AI)33.6%Not measuredOnly Claude Opus 5.5 measured
Finance Agent (Vals AI)58.6%Not measuredOnly Claude Opus 5.5 measured
Tax Agent Bench (Vals AI)45.6%Not measuredOnly Claude Opus 5.5 measured
Legal Research Bench (Vals AI)50.5%Not measuredOnly Claude Opus 5.5 measured
Harvey's Legal Agent Benchmark (Vals AI)9.2%Not measuredOnly Claude Opus 5.5 measured
Excel Modeling Benchmark (Vals AI)75.9%Not measuredOnly Claude Opus 5.5 measured
BioMysteryBench (Vals AI)79.3%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench-Science (Vals AI)47.1%Not measuredOnly Claude Opus 5.5 measured
Vals Science Index58.7%Not measuredOnly Claude Opus 5.5 measured
Time Horizon Index (Vals AI)91.3%Not measuredOnly Claude Opus 5.5 measured
CUA-bench (Vals AI)14.0%Not measuredOnly Claude Opus 5.5 measured
Robo-bench (Vals AI)14.6%Not measuredOnly Claude Opus 5.5 measured
τ²-Bench TelecomNot measured10.8%Only Gemma 3 12B measured
APEX-Agents73.5%Not measuredOnly Claude Opus 5.5 measured
Remote Labor Index21.3%Not measuredOnly Claude Opus 5.5 measured
SpireClimb3.3%Not measuredOnly Claude Opus 5.5 measured
Vending-Bench 2$9,235Not measuredOnly Claude Opus 5.5 measured
LMArena Search1213Not measuredOnly Claude Opus 5.5 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured30.4%Only Gemma 3 12B measured
Neither model has a result on the other 15 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Claude Opus 5.5 and Gemma 3 12B
BenchmarkClaude Opus 5.5Gemma 3 12BLeader
LiveBench reasoning92.2%Not measuredOnly Claude Opus 5.5 measured
MysteryMechanism (Vals AI)49.5%Not measuredOnly Claude Opus 5.5 measured
GPQA Diamond (Artificial Analysis run)Not measured34.9%Only Gemma 3 12B measured
Humanity's Last Exam (Artificial Analysis run)61.4%4.2%Claude Opus 5.5
GPQA Diamond (Epoch AI run)90.6%39.5%Claude Opus 5.5
ARC-AGI98.5%Not measuredOnly Claude Opus 5.5 measured
ARC-AGI-293.3%Not measuredOnly Claude Opus 5.5 measured
Chess puzzles67.0%Not measuredOnly Claude Opus 5.5 measured
Mystery game puzzles71.0%Not measuredOnly Claude Opus 5.5 measured
EBR-bench71.4%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: hard prompts15361309Claude Opus 5.5
LMArena Text: expert15491248Claude Opus 5.5
LMArena Text: hard prompts in English15351318Claude Opus 5.5
LMArena Vision: diagrams1345Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: homework1362Not measuredOnly Claude Opus 5.5 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 5.5 and Gemma 3 12B
BenchmarkClaude Opus 5.5Gemma 3 12BLeader
AA Math IndexNot measured18.3Only Gemma 3 12B measured
AIME 2025 (Artificial Analysis run)Not measured18.3%Only Gemma 3 12B measured
OTIS Mock AIME100.0%16.7%Claude Opus 5.5
FrontierMath, tiers 1 to 391.2%Not measuredOnly Claude Opus 5.5 measured
FrontierMath, tier 495.0%Not measuredOnly Claude Opus 5.5 measured
ProofBench100.0%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: math15181307Claude Opus 5.5
LMArena Text: mathematical work15161336Claude Opus 5.5
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Opus 5.5 and Gemma 3 12B
BenchmarkClaude Opus 5.5Gemma 3 12BLeader
MedCode (Vals AI)49.8%Not measuredOnly Claude Opus 5.5 measured
MMLU Pro (Artificial Analysis run)Not measured59.5%Only Gemma 3 12B measured
SimpleQA Verified72.2%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: science15241366Claude Opus 5.5
LMArena Text: medicine and healthcare15091334Claude Opus 5.5
LMArena Text: legal and government15181381Claude Opus 5.5
LMArena Text: business and finance14941376Claude Opus 5.5
FACTS Benchmark Suite65.3%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 5.5 and Gemma 3 12B
BenchmarkClaude Opus 5.5Gemma 3 12BLeader
Design Arena: websites1336Not measuredOnly Claude Opus 5.5 measured
Design Arena: UI components1392Not measuredOnly Claude Opus 5.5 measured
Design Arena: game dev1458Not measuredOnly Claude Opus 5.5 measured
Design Arena: data viz1397Not measuredOnly Claude Opus 5.5 measured
Design Arena: 3D1477Not measuredOnly Claude Opus 5.5 measured
Design Arena: all code categories1390Not measuredOnly Claude Opus 5.5 measured
Design Arena: SVG1333Not measuredOnly Claude Opus 5.5 measured
LiveBench design86.9%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index130
General benchmarks for Claude Opus 5.5 and Gemma 3 12B
BenchmarkClaude Opus 5.5Gemma 3 12BLeader
Vals Index70.2%Not measuredOnly Claude Opus 5.5 measured
LiveBench data analysis80.3%Not measuredOnly Claude Opus 5.5 measured
Public Benefits Bench (Vals AI)70.6%Not measuredOnly Claude Opus 5.5 measured
SAGE (Vals AI)45.8%Not measuredOnly Claude Opus 5.5 measured
MedScribe (Vals AI)91.4%Not measuredOnly Claude Opus 5.5 measured
IFBenchNot measured36.7%Only Gemma 3 12B measured
Long context reasoning (AA-LCR)84.7%8.3%Claude Opus 5.5
DTBench98.9%48.8%Claude Opus 5.5
LMCA68.2%4.5%Claude Opus 5.5
Furniture assembly83.3%Not measuredOnly Claude Opus 5.5 measured
LMArena Text15161334Claude Opus 5.5
LMArena Text: instruction following15371299Claude Opus 5.5
LMArena Text: creative writing15351331Claude Opus 5.5
LMArena Vision1321Not measuredOnly Claude Opus 5.5 measured
LMArena Text: English15191349Claude Opus 5.5
LMArena Text: non-English15071318Claude Opus 5.5
LMArena Text: Chinese1582Not measuredOnly Claude Opus 5.5 measured
LMArena Text: GermanNot measured1370Only Gemma 3 12B measured
LMArena Text: Japanese1534Not measuredOnly Claude Opus 5.5 measured
LMArena Text: French1493Not measuredOnly Claude Opus 5.5 measured
LMArena Text: Spanish1508Not measuredOnly Claude Opus 5.5 measured
LMArena Text: Russian15171335Claude Opus 5.5
LMArena Text: multi-turn15011334Claude Opus 5.5
LMArena Text: longer queries15321317Claude Opus 5.5
LMArena Text: writing and language15321307Claude Opus 5.5
LMArena Text: entertainment and media15151297Claude Opus 5.5
LMArena Vision: English1317Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: reading text1326Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: creative writing1320Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 5.5 and Gemma 3 12B
BenchmarkClaude Opus 5.5Gemma 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 5.5$0.014Fits 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 5.5$0.260Fits 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 5.5$1.00Fits 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 5.5 and Gemma 3 12B
SpecificationAnthropic Claude Opus 5.5Google Gemma 3 12B
MakerAnthropicGoogle
WeightsNo public weights listedOpen weights
ReleasedSeptember 22, 2026March 13, 2025
Context window1M131K
Input $/Mtok$4.00$0.075
Output $/Mtok$20.00$0.1625
Coding index88.8Not benchmarked
Independent measurements behind it50
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 5.5 better than Gemma 3 12B for coding?

Only Claude Opus 5.5 has a coding score, 88.8 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 123.1x cheaper ($0.1625 vs $20.00 per million).

Which is cheaper, Claude Opus 5.5 or Gemma 3 12B?

Claude Opus 5.5 costs $4.00 per million input tokens and $20.00 per million output tokens; Gemma 3 12B costs $0.075 and $0.1625. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 5.5 or Gemma 3 12B?

Claude Opus 5.5, with 1M tokens against 131K.

How many benchmarks is the Claude Opus 5.5 vs Gemma 3 12B comparison based on?

31 benchmarks have a result for both models as of October 21, 2026. Claude Opus 5.5's coding index rests on 5 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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