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Claude Fable 5 vs Gemma 3 12B

Claude Fable 5 leads Gemma 3 12B on the Artificial Analysis Intelligence Index, 49.6 to 3.8, and Gemma 3 12B costs 307.7x less per output token ($0.1625 vs $50.00 per million). Updated October 21, 2026; 37 benchmarks have a result for both.

Claude Fable 5Anthropic
Coding
79.3
Overall
79.0
Output $/M
$50.00
37
Gemma 3 12BGoogle
Coding
No data
Overall
28.0
Output $/M
$0.1625
0
vs boards won of 37 shared

Claude Fable 5 or Gemma 3 12B: which to pick

Only Claude Fable 5 has a coding score, 79.3 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 307.7x cheaper ($0.1625 vs $50.00 per million).

Shared results
37
Claude Fable 5 only
90
Gemma 3 12B only
6
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 Fable 5 79.3 from 6 benchmarks, Gemma 3 12B not benchmarked.
Widest category
Agentic work, 69.2 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Claude Fable 5 98.5% against Gemma 3 12B 10.8%, 87.7 points apart on a 0 to 100 scale.
Output price
Claude Fable 5 $50.00 against Gemma 3 12B $0.1625 per million output tokens, 307.7x apart.
Context window
Claude Fable 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 Fable 5BarsGemma 3 12BTies
Coding50
Intelligence20
Agentic work20
Reasoning60
Math30
Knowledge40
General150
All shared boards370
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Claude Fable 5 and Gemma 3 12B
BenchmarkClaude Fable 5Gemma 3 12BLeader
LiveBench coding98.3%Not measuredOnly Claude Fable 5 measured
LMArena WebDev1624Not measuredOnly Claude Fable 5 measured
AA Coding Index76.55.8Claude Fable 5
LiveCodeBench (Vals AI)89.8%Not measuredOnly Claude Fable 5 measured
SWE-bench Verified (Vals AI)95.0%Not measuredOnly Claude Fable 5 measured
Terminal-Bench 4 (Vals AI)41.4%Not measuredOnly Claude Fable 5 measured
Vibe Code Bench (Vals AI)90.3%Not measuredOnly Claude Fable 5 measured
Code migration (Vals AI)55.1%Not measuredOnly Claude Fable 5 measured
ProgramBench (Vals AI)2.0%Not measuredOnly Claude Fable 5 measured
Terminal-Bench 2.1 (Vals AI)80.5%Not measuredOnly Claude Fable 5 measured
LiveCodeBench (Artificial Analysis run)Not measured13.7%Only Gemma 3 12B measured
SciCode61.0%16.4%Claude Fable 5
Terminal-Bench Hard (Artificial Analysis run)62.9%0.8%Claude Fable 5
FrontierCode53.5%Not measuredOnly Claude Fable 5 measured
FrontierSWE47.0%Not measuredOnly Claude Fable 5 measured
GSO-Bench78.4%Not measuredOnly Claude Fable 5 measured
WeirdML91.9%Not measuredOnly Claude Fable 5 measured
MirrorCode63.9%Not measuredOnly Claude Fable 5 measured
ALE-Bench2041.3Not measuredOnly Claude Fable 5 measured
LMArena Text: coding15181281Claude Fable 5
LMArena Text: software and IT15131313Claude Fable 5
LMArena WebDev: React1631Not measuredOnly Claude Fable 5 measured
LMArena WebDev: HTML1651Not measuredOnly Claude Fable 5 measured
LMArena WebDev: from an image1623Not measuredOnly Claude Fable 5 measured
SciCodeNot measured0.0%Only Gemma 3 12B measured
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 Fable 5 and Gemma 3 12B
BenchmarkClaude Fable 5Gemma 3 12BLeader
AA Intelligence Index49.63.8Claude Fable 5
Epoch Capabilities Index163.4123.5Claude Fable 5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Fable 5 and Gemma 3 12B
BenchmarkClaude Fable 5Gemma 3 12BLeader
AA Agentic Index50.70.1Claude Fable 5
Design Arena: agents building web apps1261Not measuredOnly Claude Fable 5 measured
Design Arena: agents building full-stack apps1280Not measuredOnly Claude Fable 5 measured
Design Arena: agents building mobile apps1264Not measuredOnly Claude Fable 5 measured
Design Arena: agents building Android apps1283Not measuredOnly Claude Fable 5 measured
Design Arena: agents building Godot games1292Not measuredOnly Claude Fable 5 measured
Design Arena: agents building games1285Not measuredOnly Claude Fable 5 measured
Design Arena: HTML slides1277Not measuredOnly Claude Fable 5 measured
Design Arena: PowerPoint slides1295Not measuredOnly Claude Fable 5 measured
LiveBench research86.9%Not measuredOnly Claude Fable 5 measured
LiveBench browser92.0%Not measuredOnly Claude Fable 5 measured
LiveBench long agentic53.2%Not measuredOnly Claude Fable 5 measured
Finance Agent (Vals AI)56.3%Not measuredOnly Claude Fable 5 measured
Tax Agent Bench (Vals AI)38.3%Not measuredOnly Claude Fable 5 measured
Legal Research Bench (Vals AI)49.5%Not measuredOnly Claude Fable 5 measured
Excel Modeling Benchmark (Vals AI)73.7%Not measuredOnly Claude Fable 5 measured
Terminal-Bench-Science (Vals AI)15.7%Not measuredOnly Claude Fable 5 measured
τ²-Bench Telecom98.5%10.8%Claude Fable 5
APEX-Agents63.6%Not measuredOnly Claude Fable 5 measured
Remote Labor Index16.1%Not measuredOnly Claude Fable 5 measured
PostTrainBench41.8%Not measuredOnly Claude Fable 5 measured
Vending-Bench 2$5,680Not measuredOnly Claude Fable 5 measured
LMArena Search1229Not measuredOnly Claude Fable 5 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured30.4%Only Gemma 3 12B measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Fable 5 and Gemma 3 12B
BenchmarkClaude Fable 5Gemma 3 12BLeader
GPQA Diamond93.2%Not measuredOnly Claude Fable 5 measured
LiveBench reasoning89.7%Not measuredOnly Claude Fable 5 measured
MMMU Pro (Vals AI)89.3%Not measuredOnly Claude Fable 5 measured
GPQA Diamond (Artificial Analysis run)92.6%34.9%Claude Fable 5
Humanity's Last Exam (Artificial Analysis run)55.5%4.2%Claude Fable 5
GPQA Diamond (Epoch AI run)85.9%39.5%Claude Fable 5
ARC-AGI98.5%Not measuredOnly Claude Fable 5 measured
ARC-AGI-289.2%Not measuredOnly Claude Fable 5 measured
SimpleBench81.9%Not measuredOnly Claude Fable 5 measured
Chess puzzles47.0%Not measuredOnly Claude Fable 5 measured
Mystery game puzzles52.0%Not measuredOnly Claude Fable 5 measured
EBR-bench39.5%Not measuredOnly Claude Fable 5 measured
LMArena Text: hard prompts15071309Claude Fable 5
LMArena Text: expert15341248Claude Fable 5
LMArena Text: hard prompts in English15091318Claude Fable 5
LMArena Vision: diagrams1357Not measuredOnly Claude Fable 5 measured
LMArena Vision: homework1361Not measuredOnly Claude Fable 5 measured
Kagi LLM Benchmark91.4%Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Fable 5 and Gemma 3 12B
BenchmarkClaude Fable 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 Fable 5
FrontierMath, tiers 1 to 387.0%Not measuredOnly Claude Fable 5 measured
FrontierMath, tier 490.2%Not measuredOnly Claude Fable 5 measured
ProofBench95.0%Not measuredOnly Claude Fable 5 measured
LMArena Text: math15161307Claude Fable 5
LMArena Text: mathematical work15151336Claude Fable 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 Fable 5 and Gemma 3 12B
BenchmarkClaude Fable 5Gemma 3 12BLeader
MMLU Pro91.5%Not measuredOnly Claude Fable 5 measured
LegalBench (Vals AI)88.6%Not measuredOnly Claude Fable 5 measured
CorpFin (Vals AI)71.8%Not measuredOnly Claude Fable 5 measured
TaxEval (Vals AI)76.9%Not measuredOnly Claude Fable 5 measured
MortgageTax (Vals AI)68.9%Not measuredOnly Claude Fable 5 measured
MedCode (Vals AI)56.1%Not measuredOnly Claude Fable 5 measured
MMLU Pro (Artificial Analysis run)Not measured59.5%Only Gemma 3 12B measured
SimpleQA Verified70.7%Not measuredOnly Claude Fable 5 measured
LMArena Text: science15061366Claude Fable 5
LMArena Text: medicine and healthcare14801334Claude Fable 5
LMArena Text: legal and government14981381Claude Fable 5
LMArena Text: business and finance14801376Claude Fable 5
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Fable 5 and Gemma 3 12B
BenchmarkClaude Fable 5Gemma 3 12BLeader
Design Arena: websites1296Not measuredOnly Claude Fable 5 measured
Design Arena: UI components1319Not measuredOnly Claude Fable 5 measured
Design Arena: game dev1335Not measuredOnly Claude Fable 5 measured
Design Arena: data viz1304Not measuredOnly Claude Fable 5 measured
Design Arena: 3D1319Not measuredOnly Claude Fable 5 measured
Design Arena: all code categories1310Not measuredOnly Claude Fable 5 measured
Design Arena: SVG1302Not measuredOnly Claude Fable 5 measured
Design Arena: ASCII art1329Not measuredOnly Claude Fable 5 measured
LiveBench design84.7%Not measuredOnly Claude Fable 5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
General benchmarks for Claude Fable 5 and Gemma 3 12B
BenchmarkClaude Fable 5Gemma 3 12BLeader
LiveBench data analysis80.5%Not measuredOnly Claude Fable 5 measured
Public Benefits Bench (Vals AI)70.4%Not measuredOnly Claude Fable 5 measured
SAGE (Vals AI)51.9%Not measuredOnly Claude Fable 5 measured
MedScribe (Vals AI)88.5%Not measuredOnly Claude Fable 5 measured
Vals Multimodal Index74.2%Not measuredOnly Claude Fable 5 measured
IFBench63.5%36.7%Claude Fable 5
Long context reasoning (AA-LCR)82.3%8.3%Claude Fable 5
DTBench98.4%48.8%Claude Fable 5
LMCA61.2%4.5%Claude Fable 5
Surface Evolver Bench95.0%Not measuredOnly Claude Fable 5 measured
Furniture assembly35.8%Not measuredOnly Claude Fable 5 measured
LMArena Text14911334Claude Fable 5
LMArena Text: instruction following15021299Claude Fable 5
LMArena Text: creative writing14941331Claude Fable 5
LMArena Vision1325Not measuredOnly Claude Fable 5 measured
LMArena Text: English14981349Claude Fable 5
LMArena Text: non-English14821318Claude Fable 5
LMArena Text: Chinese1543Not measuredOnly Claude Fable 5 measured
LMArena Text: German14861370Claude Fable 5
LMArena Text: Japanese1504Not measuredOnly Claude Fable 5 measured
LMArena Text: Korean1487Not measuredOnly Claude Fable 5 measured
LMArena Text: French1505Not measuredOnly Claude Fable 5 measured
LMArena Text: Spanish1498Not measuredOnly Claude Fable 5 measured
LMArena Text: Russian15031335Claude Fable 5
LMArena Text: Polish1494Not measuredOnly Claude Fable 5 measured
LMArena Text: multi-turn15041334Claude Fable 5
LMArena Text: longer queries15101317Claude Fable 5
LMArena Text: writing and language15011307Claude Fable 5
LMArena Text: entertainment and media14821297Claude Fable 5
LMArena Vision: English1323Not measuredOnly Claude Fable 5 measured
LMArena Vision: Chinese1373Not measuredOnly Claude Fable 5 measured
LMArena Vision: reading text1337Not measuredOnly Claude Fable 5 measured
LMArena Vision: humor1341Not measuredOnly Claude Fable 5 measured
LMArena Vision: creative writing1338Not measuredOnly Claude Fable 5 measured
LMArena Document1496Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Fable 5 and Gemma 3 12B
BenchmarkClaude Fable 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 Fable 5$0.035Fits in one request
Gemma 3 12B$0.0002Fits in one request

Gemma 3 12B costs less

Repository review

50K input + 3K output tokens

Claude Fable 5$0.650Fits in one request
Gemma 3 12B$0.0042Fits in one request

Gemma 3 12B costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5$2.50Fits 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 Fable 5 and Gemma 3 12B
SpecificationAnthropic Claude Fable 5Google Gemma 3 12B
MakerAnthropicGoogle
WeightsNo public weights listedOpen weights
ReleasedJune 9, 2026March 13, 2025
Context window1M131K
Input $/Mtok$10.00$0.075
Output $/Mtok$50.00$0.1625
Coding index79.3Not benchmarked
Independent measurements behind it60
Cost per solved task$2.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Fable 5 better than Gemma 3 12B for coding?

Only Claude Fable 5 has a coding score, 79.3 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 307.7x cheaper ($0.1625 vs $50.00 per million).

Which is cheaper, Claude Fable 5 or Gemma 3 12B?

Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; Gemma 3 12B costs $0.075 and $0.1625. Cost per solved task is known for Claude Fable 5 only.

Which has the bigger context window, Claude Fable 5 or Gemma 3 12B?

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

How many benchmarks is the Claude Fable 5 vs Gemma 3 12B comparison based on?

37 benchmarks have a result for both models as of October 21, 2026. Claude Fable 5's coding index rests on 6 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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