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Claude Fable 5 vs Mistral Large 4

Claude Fable 5 leads Mistral Large 4 on coding, 79.3 to 56.4 on the Vibe Coding Index, and Mistral Large 4 costs 12.0x less per output token ($4.18 vs $50.00 per million). Updated October 22, 2026; 75 benchmarks have a result for both.

Claude Fable 5Anthropic
Coding
79.3
Overall
79.0
Output $/M
$50.00
74
Mistral Large 4Mistral AI
Coding
56.4
Overall
54.6
Output $/M
$4.18
1
vs boards won of 75 shared

Claude Fable 5 or Mistral Large 4: which to pick

Pick Claude Fable 5 for coding: it scores 79.3 on the Vibe Coding Index against 56.4 for Mistral Large 4.

Pick Mistral Large 4 for output tokens 12.0x cheaper ($4.18 vs $50.00 per million) and a larger context window (1.05M against 1M tokens).

Shared results
75
Claude Fable 5 only
52
Mistral Large 4 only
6
Like-for-like categories
8 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, Mistral Large 4 56.4 from 5 benchmarks.
Widest category
Agentic work, 32.7 points apart on average over 7 shared benchmarks.
Widest single gap
ProofBench: Claude Fable 5 95.0% against Mistral Large 4 10.0%, 85.0 points apart on a 0 to 100 scale.
Output price
Claude Fable 5 $50.00 against Mistral Large 4 $4.18 per million output tokens, 12.0x apart.
Context window
Claude Fable 5 takes 1M tokens, Mistral Large 4 1.05M.

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 5BarsMistral Large 4Ties
Coding120
Intelligence20
Agentic work70
Reasoning81
Math60
Knowledge60
Web design90
General240
All shared boards741
CodingLike-for-likeSix of these boards feed the Vibe Coding Index120
Coding benchmarks for Claude Fable 5 and Mistral Large 4
BenchmarkClaude Fable 5Mistral Large 4Leader
LiveBench coding98.3%60.0%Claude Fable 5
LMArena WebDev16241543Claude Fable 5
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%27.8%Claude Fable 5
Vibe Code Bench (Vals AI)90.3%78.4%Claude Fable 5
Code migration (Vals AI)55.1%30.6%Claude Fable 5
ProgramBench (Vals AI)2.0%Not measuredOnly Claude Fable 5 measured
IOI (Vals AI)Not measured45.3%Only Mistral Large 4 measured
Terminal-Bench 2.1 (Vals AI)80.5%Not measuredOnly Claude Fable 5 measured
SWE-bench Multimodal (Vals AI)Not measured33.1%Only Mistral Large 4 measured
Vibe Code Bench 1-100 (Vals AI)Not measured14.3%Only Mistral Large 4 measured
SciCode61.0%54.2%Claude Fable 5
Terminal-Bench Hard (Artificial Analysis run)62.9%Not measuredOnly Claude Fable 5 measured
FrontierCode53.5%39.4%Claude Fable 5
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-Bench2041.31213.2Claude Fable 5
LMArena Text: coding15181478Claude Fable 5
LMArena Text: software and IT15131467Claude Fable 5
LMArena WebDev: React16311559Claude Fable 5
LMArena WebDev: HTML16511487Claude Fable 5
LMArena WebDev: from an image1623Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Fable 5 and Mistral Large 4
BenchmarkClaude Fable 5Mistral Large 4Leader
AA Intelligence Index49.638.4Claude Fable 5
Epoch Capabilities Index163.4150.0Claude Fable 5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index70
Agentic work benchmarks for Claude Fable 5 and Mistral Large 4
BenchmarkClaude Fable 5Mistral Large 4Leader
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%28.1%Claude Fable 5
LiveBench browser92.0%8.0%Claude Fable 5
LiveBench long agentic53.2%11.8%Claude Fable 5
Finance Agent (Vals AI)56.3%54.7%Claude Fable 5
Tax Agent Bench (Vals AI)38.3%30.4%Claude Fable 5
Legal Research Bench (Vals AI)49.5%31.7%Claude Fable 5
Harvey's Legal Agent Benchmark (Vals AI)Not measured17.5%Only Mistral Large 4 measured
Excel Modeling Benchmark (Vals AI)73.7%56.2%Claude Fable 5
BioMysteryBench (Vals AI)Not measured67.0%Only Mistral Large 4 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
ReasoningLike-for-likePublic boards, shown as published, kept out of the index81
Reasoning benchmarks for Claude Fable 5 and Mistral Large 4
BenchmarkClaude Fable 5Mistral Large 4Leader
GPQA Diamond93.2%Not measuredOnly Claude Fable 5 measured
LiveBench reasoning89.7%83.9%Claude Fable 5
MysteryMechanism (Vals AI)Not measured12.2%Only Mistral Large 4 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%35.0%Claude Fable 5
GPQA Diamond (Epoch AI run)85.9%88.1%Mistral Large 4
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%33.0%Claude Fable 5
Mystery game puzzles52.0%17.0%Claude Fable 5
EBR-bench39.5%Not measuredOnly Claude Fable 5 measured
LMArena Text: hard prompts15071444Claude Fable 5
LMArena Text: expert15341444Claude Fable 5
LMArena Text: hard prompts in English15091442Claude Fable 5
LMArena Vision: diagrams13571288Claude Fable 5
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 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Claude Fable 5 and Mistral Large 4
BenchmarkClaude Fable 5Mistral Large 4Leader
OTIS Mock AIME100.0%98.3%Claude Fable 5
FrontierMath, tiers 1 to 387.0%58.6%Claude Fable 5
FrontierMath, tier 490.2%26.8%Claude Fable 5
ProofBench95.0%10.0%Claude Fable 5
LMArena Text: math15161469Claude Fable 5
LMArena Text: mathematical work15151462Claude Fable 5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for Claude Fable 5 and Mistral Large 4
BenchmarkClaude Fable 5Mistral Large 4Leader
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%40.7%Claude Fable 5
SimpleQA Verified70.7%20.0%Claude Fable 5
LMArena Text: science15061448Claude Fable 5
LMArena Text: medicine and healthcare14801433Claude Fable 5
LMArena Text: legal and government14981425Claude Fable 5
LMArena Text: business and finance14801439Claude Fable 5
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index90
Web design benchmarks for Claude Fable 5 and Mistral Large 4
BenchmarkClaude Fable 5Mistral Large 4Leader
Design Arena: websites12951257Claude Fable 5
Design Arena: UI components13161272Claude Fable 5
Design Arena: game dev13351225Claude Fable 5
Design Arena: data viz13041275Claude Fable 5
Design Arena: 3D13181252Claude Fable 5
Design Arena: all code categories13101259Claude Fable 5
Design Arena: SVG13021232Claude Fable 5
Design Arena: ASCII art13291202Claude Fable 5
LiveBench design84.7%65.6%Claude Fable 5
GeneralLike-for-likePublic boards, shown as published, kept out of the index240
General benchmarks for Claude Fable 5 and Mistral Large 4
BenchmarkClaude Fable 5Mistral Large 4Leader
LiveBench data analysis80.5%76.5%Claude Fable 5
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%80.4%Claude Fable 5
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%81.3%Claude Fable 5
DTBench98.4%88.2%Claude Fable 5
LMCA61.2%35.8%Claude Fable 5
Surface Evolver Bench95.0%28.1%Claude Fable 5
Furniture assembly35.8%20.8%Claude Fable 5
LMArena Text14911431Claude Fable 5
LMArena Text: instruction following15021422Claude Fable 5
LMArena Text: creative writing14941363Claude Fable 5
LMArena Vision13251272Claude Fable 5
LMArena Text: English14981433Claude Fable 5
LMArena Text: non-English14821422Claude Fable 5
LMArena Text: Chinese15431492Claude Fable 5
LMArena Text: German1486Not measuredOnly Claude Fable 5 measured
LMArena Text: Japanese15041415Claude Fable 5
LMArena Text: Korean1487Not measuredOnly Claude Fable 5 measured
LMArena Text: French15051492Claude Fable 5
LMArena Text: Spanish14981455Claude Fable 5
LMArena Text: Russian15031417Claude Fable 5
LMArena Text: Polish1494Not measuredOnly Claude Fable 5 measured
LMArena Text: multi-turn15041435Claude Fable 5
LMArena Text: longer queries15101428Claude Fable 5
LMArena Text: writing and language15011386Claude Fable 5
LMArena Text: entertainment and media14821378Claude Fable 5
LMArena Vision: English13231283Claude Fable 5
LMArena Vision: Chinese1373Not measuredOnly Claude Fable 5 measured
LMArena Vision: reading text13371284Claude Fable 5
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 Mistral Large 4
BenchmarkClaude Fable 5Mistral Large 4Leader
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
Mistral Large 4$0.0034Fits in one request

Mistral Large 4 costs less

Repository review

50K input + 3K output tokens

Claude Fable 5$0.650Fits in one request
Mistral Large 4$0.081Fits in one request

Mistral Large 4 costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5$2.50Fits in one request
Mistral Large 4$0.314Fits in one request

Mistral Large 4 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 Mistral Large 4
SpecificationAnthropic Claude Fable 5Mistral Large 4
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedJune 9, 2026October 6, 2026
Context window1M1.05M
Input $/Mtok$10.00$1.36
Output $/Mtok$50.00$4.18
Coding index79.356.4
Independent measurements behind it65
Cost per solved task$2.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Fable 5 better than Mistral Large 4 for coding?

Pick Claude Fable 5 for coding: it scores 79.3 on the Vibe Coding Index against 56.4 for Mistral Large 4. Pick Mistral Large 4 for output tokens 12.0x cheaper ($4.18 vs $50.00 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Claude Fable 5 or Mistral Large 4?

Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for Claude Fable 5 only.

Which has the bigger context window, Claude Fable 5 or Mistral Large 4?

Mistral Large 4, with 1.05M tokens against 1M.

How many benchmarks is the Claude Fable 5 vs Mistral Large 4 comparison based on?

75 benchmarks have a result for both models as of October 22, 2026. Claude Fable 5's coding index rests on 6 independent benchmarks and Mistral Large 4's on 5. 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-mistral-large-4-0">LLMBenchmark.ai, Claude Fable 5 vs Mistral Large 4</a></p>