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Claude Fable 5 vs DeepSeek V3.2

Updated October 21, 2026. 62 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Fable 5Anthropic
Coding
82.1
Overall
49.6
Output $/M
$50.00
62
DeepSeek V3.2DeepSeek
Coding
54.4
Overall
21.5
Output $/M
$0.42
0
vs boards won of 62 shared

Decision reading

Pick Claude Fable 5 for coding: it scores 82.1 on the Vibe Coding Index against 54.4 for DeepSeek V3.2.

Pick DeepSeek V3.2 when output tokens cost 119.0x less, or when a solved task costs $0.99 against $2.16.

Shared results
62
Claude Fable 5 only
64
DeepSeek V3.2 only
13
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 82.1 from 2 benchmarks, DeepSeek V3.2 54.4 from 2 benchmarks.
Widest category
Coding, 32.0 points apart on average over 10 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Fable 5 90.3% against DeepSeek V3.2 5.1%, 85.2 points apart on a 0 to 100 scale.
Output price
Claude Fable 5 $50.00 against DeepSeek V3.2 $0.42 per million output tokens, 119.0x apart.
Context window
Claude Fable 5 takes 1M tokens, DeepSeek V3.2 164K.

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 5BarsDeepSeek V3.2Ties
Coding100
Intelligence20
Agentic work30
Reasoning80
Math20
Knowledge80
Web design80
General210
All shared boards620
CodingLike-for-likeFour of these boards feed the Vibe Coding Index100
Coding benchmarks for Claude Fable 5 and DeepSeek V3.2
BenchmarkClaude Fable 5DeepSeek V3.2Leader
SWE-bench VerifiedNot measured70.0%Only DeepSeek V3.2 measured
SWE-bench MultilingualNot measured59.0%Only DeepSeek V3.2 measured
LiveBench coding98.3%Not measuredOnly Claude Fable 5 measured
LMArena WebDev16241362Claude Fable 5
AA Coding Index76.544.2Claude Fable 5
LiveCodeBench (Vals AI)89.8%80.7%Claude Fable 5
SWE-bench Verified (Vals AI)95.0%67.6%Claude Fable 5
Terminal-Bench 4 (Vals AI)41.4%Not measuredOnly Claude Fable 5 measured
Vibe Code Bench (Vals AI)90.3%5.1%Claude Fable 5
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 measured86.2%Only DeepSeek V3.2 measured
SciCode61.0%Not measuredOnly Claude Fable 5 measured
Terminal-Bench Hard (Artificial Analysis run)62.9%35.6%Claude Fable 5
Terminal-BenchNot measured39.6%Only DeepSeek V3.2 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: coding15181453Claude Fable 5
LMArena Text: software and IT15131449Claude Fable 5
LMArena WebDev: React16311350Claude Fable 5
LMArena WebDev: HTML16511371Claude Fable 5
LMArena WebDev: from an image1623Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Fable 5 and DeepSeek V3.2
BenchmarkClaude Fable 5DeepSeek V3.2Leader
AA Intelligence Index49.621.5Claude Fable 5
Epoch Capabilities Index163.4146.1Claude Fable 5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
Agentic work benchmarks for Claude Fable 5 and DeepSeek V3.2
BenchmarkClaude Fable 5DeepSeek V3.2Leader
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 apps1289Not 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%90.6%Claude Fable 5
APEX-Agents63.6%21.3%Claude Fable 5
Remote Labor Index16.1%Not measuredOnly Claude Fable 5 measured
PostTrainBench41.8%Not measuredOnly Claude Fable 5 measured
Vending-Bench 2$5,680$1,034Claude Fable 5
LMArena Search1229Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Claude Fable 5 and DeepSeek V3.2
BenchmarkClaude Fable 5DeepSeek V3.2Leader
GPQA Diamond93.2%80.3%Claude Fable 5
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%84.0%Claude Fable 5
Humanity's Last Exam (Artificial Analysis run)55.5%24.6%Claude Fable 5
GPQA Diamond (Epoch AI run)85.9%Not measuredOnly Claude Fable 5 measured
ARC-AGI98.5%57.0%Claude Fable 5
ARC-AGI-289.2%4.0%Claude Fable 5
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 prompts15071434Claude Fable 5
LMArena Text: expert15341436Claude Fable 5
LMArena Text: hard prompts in English15091446Claude Fable 5
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
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Fable 5 and DeepSeek V3.2
BenchmarkClaude Fable 5DeepSeek V3.2Leader
AIMENot measured84.6%Only DeepSeek V3.2 measured
MGSM (Vals AI)Not measured86.0%Only DeepSeek V3.2 measured
AA Math IndexNot measured92.0Only DeepSeek V3.2 measured
AIME 2025 (Artificial Analysis run)Not measured92.0%Only DeepSeek V3.2 measured
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: math15161435Claude Fable 5
LMArena Text: mathematical work15151440Claude Fable 5
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index80
Knowledge benchmarks for Claude Fable 5 and DeepSeek V3.2
BenchmarkClaude Fable 5DeepSeek V3.2Leader
MMLU Pro91.5%84.9%Claude Fable 5
LegalBench (Vals AI)88.6%76.1%Claude Fable 5
CaseLaw (Vals AI)Not measured55.4%Only DeepSeek V3.2 measured
CorpFin (Vals AI)71.8%51.0%Claude Fable 5
TaxEval (Vals AI)76.9%68.2%Claude Fable 5
MortgageTax (Vals AI)68.9%Not measuredOnly Claude Fable 5 measured
MedQA (Vals AI)Not measured93.9%Only DeepSeek V3.2 measured
MedCode (Vals AI)56.1%Not measuredOnly Claude Fable 5 measured
MMLU Pro (Artificial Analysis run)Not measured86.2%Only DeepSeek V3.2 measured
SimpleQA Verified70.7%Not measuredOnly Claude Fable 5 measured
LMArena Text: science15061446Claude Fable 5
LMArena Text: medicine and healthcare14801440Claude Fable 5
LMArena Text: legal and government14981425Claude Fable 5
LMArena Text: business and finance14801410Claude Fable 5
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Fable 5 and DeepSeek V3.2
BenchmarkClaude Fable 5DeepSeek V3.2Leader
Design Arena: websites12961175Claude Fable 5
Design Arena: UI components13181149Claude Fable 5
Design Arena: game dev13361132Claude Fable 5
Design Arena: data viz13041158Claude Fable 5
Design Arena: 3D13191133Claude Fable 5
Design Arena: all code categories13101164Claude Fable 5
Design Arena: SVG13021032Claude Fable 5
Design Arena: ASCII art13281082Claude Fable 5
LiveBench design84.7%Not measuredOnly Claude Fable 5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
General benchmarks for Claude Fable 5 and DeepSeek V3.2
BenchmarkClaude Fable 5DeepSeek V3.2Leader
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%60.7%Claude Fable 5
Long context reasoning (AA-LCR)82.3%73.3%Claude Fable 5
DTBench98.4%85.6%Claude Fable 5
LMCA61.2%28.8%Claude Fable 5
CL-benchNot measured12.4%Only DeepSeek V3.2 measured
Surface Evolver Bench95.0%Not measuredOnly Claude Fable 5 measured
Furniture assembly35.8%Not measuredOnly Claude Fable 5 measured
CL-bench LifeNot measured7.4%Only DeepSeek V3.2 measured
LMArena Text14911425Claude Fable 5
LMArena Text: instruction following15021413Claude Fable 5
LMArena Text: creative writing14941400Claude Fable 5
LMArena Vision1325Not measuredOnly Claude Fable 5 measured
LMArena Text: English14981439Claude Fable 5
LMArena Text: non-English14821409Claude Fable 5
LMArena Text: Chinese15431455Claude Fable 5
LMArena Text: German14861413Claude Fable 5
LMArena Text: Japanese15041374Claude Fable 5
LMArena Text: Korean14871370Claude Fable 5
LMArena Text: French15051429Claude Fable 5
LMArena Text: Spanish14981424Claude Fable 5
LMArena Text: Russian15031424Claude Fable 5
LMArena Text: Polish14941419Claude Fable 5
LMArena Text: multi-turn15041427Claude Fable 5
LMArena Text: longer queries15101428Claude Fable 5
LMArena Text: writing and language15011407Claude Fable 5
LMArena Text: entertainment and media14821395Claude 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 9 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 DeepSeek V3.2
BenchmarkClaude Fable 5DeepSeek V3.2Leader
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
DeepSeek V3.2$0.0005Fits in one request

DeepSeek V3.2 costs less

Repository review

50K input + 3K output tokens

Claude Fable 5$0.650Fits in one request
DeepSeek V3.2$0.015Fits in one request

DeepSeek V3.2 costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5$2.50Fits in one request
DeepSeek V3.2$0.060Exceeds the context window

DeepSeek V3.2 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 DeepSeek V3.2
SpecificationAnthropic Claude Fable 5DeepSeek V3.2
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedJune 9, 2026December 1, 2025
Context window1M164K
Input $/Mtok$10.00$0.28
Output $/Mtok$50.00$0.42
Coding index82.154.4
Independent measurements behind it22
Cost per solved task$2.16$0.99
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Fable 5 better than DeepSeek V3.2 for coding?

Pick Claude Fable 5 for coding: it scores 82.1 on the Vibe Coding Index against 54.4 for DeepSeek V3.2. Pick DeepSeek V3.2 when output tokens cost 119.0x less, or when a solved task costs $0.99 against $2.16.

Which is cheaper, Claude Fable 5 or DeepSeek V3.2?

Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; DeepSeek V3.2 costs $0.28 and $0.42. Per solved SWE-bench Verified task, Claude Fable 5 costs $2.16 and DeepSeek V3.2 $0.99.

Which has the bigger context window, Claude Fable 5 or DeepSeek V3.2?

Claude Fable 5, with 1M tokens against 164K.

How many benchmarks is the Claude Fable 5 vs DeepSeek V3.2 comparison based on?

62 benchmarks have a result for both models as of October 21, 2026. Claude Fable 5's coding index rests on 2 independent benchmarks and DeepSeek V3.2's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-fable-5-vs-deepseek-v3-2">LLMBenchmark.ai, Claude Fable 5 vs DeepSeek V3.2</a></p>