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Claude Fable 5 vs Extract

Updated October 21, 2026. No benchmark has tested both models yet. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Fable 5Anthropic
Coding
79.3
Overall
49.6
Output $/M
$50.00
S ExtractScaledown
Coding
No data
Overall
No data
Output $/M
No data
vs 1M vs 1M context window. About the same size.

Decision reading

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

Compare them on price, context and the boards below.

No benchmark has tested both yet. Claude Fable 5 has results on LiveBench coding, LMArena WebDev and AA Coding Index; Extract has none yet. Compare them on price and context instead.

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, Extract not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Claude Fable 5 $50.00 against Extract Free per million output tokens.
Context window
Both take 1M tokens.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index23 boards measured
Coding benchmarks for Claude Fable 5 and Extract
BenchmarkClaude Fable 5ExtractLeader
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: coding1518Not measuredOnly Claude Fable 5 measured
LMArena Text: software and IT1513Not measuredOnly Claude Fable 5 measured
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 15 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Claude Fable 5 and Extract
BenchmarkClaude Fable 5ExtractLeader
AA Intelligence Index49.6Not measuredOnly Claude Fable 5 measured
Epoch Capabilities Index163.4Not measuredOnly Claude Fable 5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index23 boards measured
Agentic work benchmarks for Claude Fable 5 and Extract
BenchmarkClaude Fable 5ExtractLeader
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 apps1290Not 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%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 16 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index17 boards measured
Reasoning benchmarks for Claude Fable 5 and Extract
BenchmarkClaude Fable 5ExtractLeader
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%Not measuredOnly Claude Fable 5 measured
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 prompts1507Not measuredOnly Claude Fable 5 measured
LMArena Text: expert1534Not measuredOnly Claude Fable 5 measured
LMArena Text: hard prompts in English1509Not measuredOnly Claude Fable 5 measured
LMArena Vision: diagrams1357Not measuredOnly Claude Fable 5 measured
LMArena Vision: homework1361Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 4 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Math benchmarks for Claude Fable 5 and Extract
BenchmarkClaude Fable 5ExtractLeader
OTIS Mock AIME100.0%Not measuredOnly Claude Fable 5 measured
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: math1516Not measuredOnly Claude Fable 5 measured
LMArena Text: mathematical work1515Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards measured
Knowledge benchmarks for Claude Fable 5 and Extract
BenchmarkClaude Fable 5ExtractLeader
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
SimpleQA Verified70.7%Not measuredOnly Claude Fable 5 measured
LMArena Text: science1506Not measuredOnly Claude Fable 5 measured
LMArena Text: medicine and healthcare1480Not measuredOnly Claude Fable 5 measured
LMArena Text: legal and government1498Not measuredOnly Claude Fable 5 measured
LMArena Text: business and finance1480Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured
Web design benchmarks for Claude Fable 5 and Extract
BenchmarkClaude Fable 5ExtractLeader
Design Arena: websites1296Not measuredOnly Claude Fable 5 measured
Design Arena: UI components1318Not 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 art1328Not measuredOnly Claude Fable 5 measured
LiveBench design84.7%Not measuredOnly Claude Fable 5 measured
GeneralDirectional onlyPublic boards, shown as published, kept out of the index35 boards measured
General benchmarks for Claude Fable 5 and Extract
BenchmarkClaude Fable 5ExtractLeader
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%Not measuredOnly Claude Fable 5 measured
LMCA61.2%Not measuredOnly Claude Fable 5 measured
Surface Evolver Bench95.0%Not measuredOnly Claude Fable 5 measured
Furniture assembly35.8%Not measuredOnly Claude Fable 5 measured
LMArena Text1491Not measuredOnly Claude Fable 5 measured
LMArena Text: instruction following1502Not measuredOnly Claude Fable 5 measured
LMArena Text: creative writing1494Not measuredOnly Claude Fable 5 measured
LMArena Vision1325Not measuredOnly Claude Fable 5 measured
LMArena Text: English1498Not measuredOnly Claude Fable 5 measured
LMArena Text: non-English1482Not measuredOnly Claude Fable 5 measured
LMArena Text: Chinese1543Not measuredOnly Claude Fable 5 measured
LMArena Text: German1486Not measuredOnly Claude Fable 5 measured
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: Russian1503Not measuredOnly Claude Fable 5 measured
LMArena Text: Polish1494Not measuredOnly Claude Fable 5 measured
LMArena Text: multi-turn1504Not measuredOnly Claude Fable 5 measured
LMArena Text: longer queries1510Not measuredOnly Claude Fable 5 measured
LMArena Text: writing and language1501Not measuredOnly Claude Fable 5 measured
LMArena Text: entertainment and media1482Not measuredOnly Claude Fable 5 measured
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

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
Extract$0.0000Fits in one request

Extract costs less

Repository review

50K input + 3K output tokens

Claude Fable 5$0.650Fits in one request
Extract$0.0020Fits in one request

Extract costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5$2.50Fits in one request
Extract$0.0080Fits in one request

Extract 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 Extract
SpecificationAnthropic Claude Fable 5ScaleDown Extract
MakerAnthropicScaledown
WeightsNo public weights listedNo public weights listed
ReleasedJune 9, 2026October 13, 2026
Context window1M1M
Input $/Mtok$10.00$0.04
Output $/Mtok$50.00Free
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 Extract for coding?

Only Claude Fable 5 has a coding score, 79.3 on the Vibe Coding Index; Extract has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Claude Fable 5 or Extract?

Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; Extract costs $0.04 and Free. Cost per solved task is known for Claude Fable 5 only.

Which has the bigger context window, Claude Fable 5 or Extract?

Neither: both take 1M tokens.

Has any benchmark tested both Claude Fable 5 and Extract?

No benchmark has tested both yet. Claude Fable 5 has results on LiveBench coding, LMArena WebDev and AA Coding Index; Extract has none yet. Compare them on price and context instead. Data as of October 21, 2026.

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