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Claude Fable 5 vs Gemma 2 27B

Gemma 2 27B costs 76.9x less per output token than Claude Fable 5 ($0.65 vs $50.00 per million). Updated October 22, 2026; 34 benchmarks have a result for both.

Claude Fable 5Anthropic
Coding
79.3
Overall
79.0
Output $/M
$50.00
34
Gemma 2 27BGoogle
Coding
No data
Overall
No data
Output $/M
$0.65
0
vs boards won of 34 shared

Claude Fable 5 or Gemma 2 27B: which to pick

Only Claude Fable 5 has a coding score, 79.3 on the Vibe Coding Index; Gemma 2 27B has none, so the two cannot be ranked on coding.

Pick Gemma 2 27B for output tokens 76.9x cheaper ($0.65 vs $50.00 per million).

Shared results
34
Claude Fable 5 only
93
Gemma 2 27B only
2
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 Fable 5 79.3 from 6 benchmarks, Gemma 2 27B not benchmarked.
Widest category
Math, 66.1 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: Claude Fable 5 100.0% against Gemma 2 27B 1.4%, 98.6 points apart on a 0 to 100 scale.
Output price
Claude Fable 5 $50.00 against Gemma 2 27B $0.65 per million output tokens, 76.9x apart.
Context window
Claude Fable 5 takes 1M tokens, Gemma 2 27B 8K.

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 2 27BTies
Coding20
Intelligence10
Reasoning40
Math30
Knowledge50
General190
All shared boards340
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Claude Fable 5 and Gemma 2 27B
BenchmarkClaude Fable 5Gemma 2 27BLeader
LiveBench coding98.3%Not measuredOnly Claude Fable 5 measured
LMArena WebDev1624Not measuredOnly Claude Fable 5 measured
AA Coding Index76.5Not measuredOnly Claude Fable 5 measured
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
SciCode61.0%Not measuredOnly Claude Fable 5 measured
Terminal-Bench Hard (Artificial Analysis run)62.9%Not measuredOnly Claude Fable 5 measured
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: coding15181211Claude Fable 5
LMArena Text: software and IT15131228Claude 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
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Fable 5 and Gemma 2 27B
BenchmarkClaude Fable 5Gemma 2 27BLeader
AA Intelligence Index49.6Not measuredOnly Claude Fable 5 measured
Epoch Capabilities Index163.4122.1Claude Fable 5
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index23 boards, none shared
Agentic work benchmarks for Claude Fable 5 and Gemma 2 27B
BenchmarkClaude Fable 5Gemma 2 27BLeader
AA Agentic Index50.7Not measuredOnly Claude Fable 5 measured
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 apps1284Not 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 slides1227Not measuredOnly Claude Fable 5 measured
Design Arena: PowerPoint slides1270Not 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%Not measuredOnly Claude Fable 5 measured
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
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for Claude Fable 5 and Gemma 2 27B
BenchmarkClaude Fable 5Gemma 2 27BLeader
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%Not measuredOnly Claude Fable 5 measured
Humanity's Last Exam (Artificial Analysis run)55.5%Not measuredOnly Claude Fable 5 measured
GPQA Diamond (Epoch AI run)85.9%36.5%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 prompts15071198Claude Fable 5
LMArena Text: expert15341171Claude Fable 5
LMArena Text: hard prompts in English15091206Claude 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 2 27B
BenchmarkClaude Fable 5Gemma 2 27BLeader
OTIS Mock AIME100.0%1.4%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
MATH level 5Not measured27.9%Only Gemma 2 27B measured
LMArena Text: math15161212Claude Fable 5
LMArena Text: mathematical work15151221Claude Fable 5
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Claude Fable 5 and Gemma 2 27B
BenchmarkClaude Fable 5Gemma 2 27BLeader
MMLU Pro91.5%Not measuredOnly Claude Fable 5 measured
LegalBench (Vals AI)88.6%68.0%Claude Fable 5
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
SimpleQA Verified70.7%Not measuredOnly Claude Fable 5 measured
MMLUNot measured75.7%Only Gemma 2 27B measured
LMArena Text: science15061228Claude Fable 5
LMArena Text: medicine and healthcare14801198Claude Fable 5
LMArena Text: legal and government14981241Claude Fable 5
LMArena Text: business and finance14801208Claude 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 2 27B
BenchmarkClaude Fable 5Gemma 2 27BLeader
Design Arena: websites1295Not measuredOnly Claude Fable 5 measured
Design Arena: UI components1316Not 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: 3D1318Not 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 index190
General benchmarks for Claude Fable 5 and Gemma 2 27B
BenchmarkClaude Fable 5Gemma 2 27BLeader
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%Not measuredOnly Claude Fable 5 measured
Long context reasoning (AA-LCR)82.3%Not measuredOnly Claude Fable 5 measured
DTBench98.4%48.0%Claude Fable 5
LMCA61.2%7.1%Claude Fable 5
Surface Evolver Bench95.0%Not measuredOnly Claude Fable 5 measured
Furniture assembly35.8%Not measuredOnly Claude Fable 5 measured
LMArena Text14911231Claude Fable 5
LMArena Text: instruction following15021206Claude Fable 5
LMArena Text: creative writing14941240Claude Fable 5
LMArena Vision1325Not measuredOnly Claude Fable 5 measured
LMArena Text: English14981242Claude Fable 5
LMArena Text: non-English14821217Claude Fable 5
LMArena Text: Chinese15431221Claude Fable 5
LMArena Text: German14861209Claude Fable 5
LMArena Text: Japanese15041175Claude Fable 5
LMArena Text: Korean14871174Claude Fable 5
LMArena Text: French15051248Claude Fable 5
LMArena Text: Spanish14981228Claude Fable 5
LMArena Text: Russian15031234Claude Fable 5
LMArena Text: Polish14941277Claude Fable 5
LMArena Text: multi-turn15041224Claude Fable 5
LMArena Text: longer queries15101230Claude Fable 5
LMArena Text: writing and language15011249Claude Fable 5
LMArena Text: entertainment and media14821212Claude 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 2 27B
BenchmarkClaude Fable 5Gemma 2 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 Fable 5$0.035Fits in one request
Gemma 2 27B$0.0010Fits in one request

Gemma 2 27B costs less

Repository review

50K input + 3K output tokens

Claude Fable 5$0.650Fits in one request
Gemma 2 27B$0.034Exceeds the context window

Gemma 2 27B costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5$2.50Fits in one request
Gemma 2 27B$0.137Exceeds the context window

Gemma 2 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 Fable 5 and Gemma 2 27B
SpecificationAnthropic Claude Fable 5Google Gemma 2 27B
MakerAnthropicGoogle
WeightsNo public weights listedOpen weights
ReleasedJune 9, 2026July 13, 2024
Context window1M8K
Input $/Mtok$10.00$0.65
Output $/Mtok$50.00$0.65
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 2 27B for coding?

Only Claude Fable 5 has a coding score, 79.3 on the Vibe Coding Index; Gemma 2 27B has none, so the two cannot be ranked on coding. Pick Gemma 2 27B for output tokens 76.9x cheaper ($0.65 vs $50.00 per million).

Which is cheaper, Claude Fable 5 or Gemma 2 27B?

Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; Gemma 2 27B costs $0.65 and $0.65. Cost per solved task is known for Claude Fable 5 only.

Which has the bigger context window, Claude Fable 5 or Gemma 2 27B?

Claude Fable 5, with 1M tokens against 8K.

How many benchmarks is the Claude Fable 5 vs Gemma 2 27B comparison based on?

34 benchmarks have a result for both models as of October 22, 2026. Claude Fable 5's coding index rests on 6 independent benchmarks and Gemma 2 27B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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