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Claude Fable 5 vs Mistral Medium 3.1

Claude Fable 5 leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 49.6 to 9.2, and Mistral Medium 3.1 costs 25.0x less per output token ($2.00 vs $50.00 per million). Updated October 21, 2026; 64 benchmarks have a result for both.

Claude Fable 5Anthropic
Coding
79.3
Overall
79.0
Output $/M
$50.00
64
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
0
vs boards won of 64 shared

Claude Fable 5 or Mistral Medium 3.1: which to pick

Only Claude Fable 5 has a coding score, 79.3 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding.

Pick Mistral Medium 3.1 for output tokens 25.0x cheaper ($2.00 vs $50.00 per million).

Shared results
64
Claude Fable 5 only
63
Mistral Medium 3.1 only
10
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 Medium 3.1 not benchmarked.
Widest category
Agentic work, 53.3 points apart on average over 2 shared benchmarks.
Widest single gap
ALE-Bench: Claude Fable 5 2041.3 against Mistral Medium 3.1 210.2, 61.0 points apart on a 0 to 100 scale.
Output price
Claude Fable 5 $50.00 against Mistral Medium 3.1 $2.00 per million output tokens, 25.0x apart.
Context window
Claude Fable 5 takes 1M tokens, Mistral Medium 3.1 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 5BarsMistral Medium 3.1Ties
Coding70
Intelligence10
Agentic work20
Reasoning80
Math20
Knowledge90
Web design80
General270
All shared boards640
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for Claude Fable 5 and Mistral Medium 3.1
BenchmarkClaude Fable 5Mistral Medium 3.1Leader
LiveBench coding98.3%Not measuredOnly Claude Fable 5 measured
LMArena WebDev1624Not measuredOnly Claude Fable 5 measured
AA Coding Index76.520.5Claude Fable 5
LiveCodeBench (Vals AI)89.8%44.8%Claude Fable 5
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 measured40.6%Only Mistral Medium 3.1 measured
SciCode61.0%32.4%Claude Fable 5
Terminal-Bench Hard (Artificial Analysis run)62.9%10.6%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-Bench2041.3210.2Claude Fable 5
LMArena Text: coding15181433Claude Fable 5
LMArena Text: software and IT15131436Claude 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 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Fable 5 and Mistral Medium 3.1
BenchmarkClaude Fable 5Mistral Medium 3.1Leader
AA Intelligence Index49.69.2Claude Fable 5
Epoch Capabilities Index163.4Not measuredOnly Claude Fable 5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Fable 5 and Mistral Medium 3.1
BenchmarkClaude Fable 5Mistral Medium 3.1Leader
AA Agentic Index50.71.9Claude 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%40.6%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
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Claude Fable 5 and Mistral Medium 3.1
BenchmarkClaude Fable 5Mistral Medium 3.1Leader
GPQA Diamond93.2%Not measuredOnly Claude Fable 5 measured
LiveBench reasoning89.7%Not measuredOnly Claude Fable 5 measured
MMMU Pro (Vals AI)89.3%63.0%Claude Fable 5
GPQA Diamond (Artificial Analysis run)92.6%58.8%Claude Fable 5
Humanity's Last Exam (Artificial Analysis run)55.5%4.7%Claude Fable 5
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 prompts15071426Claude Fable 5
LMArena Text: expert15341408Claude Fable 5
LMArena Text: hard prompts in English15091435Claude Fable 5
LMArena Vision: diagrams13571175Claude Fable 5
LMArena Vision: homework13611165Claude Fable 5
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 index20
Math benchmarks for Claude Fable 5 and Mistral Medium 3.1
BenchmarkClaude Fable 5Mistral Medium 3.1Leader
AIMENot measured42.3%Only Mistral Medium 3.1 measured
MATH 500 (Vals AI)Not measured87.0%Only Mistral Medium 3.1 measured
MGSM (Vals AI)Not measured90.9%Only Mistral Medium 3.1 measured
AA Math IndexNot measured38.3Only Mistral Medium 3.1 measured
AIME 2025 (Artificial Analysis run)Not measured38.3%Only Mistral Medium 3.1 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: math15161408Claude Fable 5
LMArena Text: mathematical work15151412Claude Fable 5
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
Knowledge benchmarks for Claude Fable 5 and Mistral Medium 3.1
BenchmarkClaude Fable 5Mistral Medium 3.1Leader
MMLU Pro91.5%75.3%Claude Fable 5
LegalBench (Vals AI)88.6%62.0%Claude Fable 5
CorpFin (Vals AI)71.8%50.7%Claude Fable 5
TaxEval (Vals AI)76.9%70.3%Claude Fable 5
MortgageTax (Vals AI)68.9%36.5%Claude Fable 5
MedQA (Vals AI)Not measured78.2%Only Mistral Medium 3.1 measured
MedCode (Vals AI)56.1%Not measuredOnly Claude Fable 5 measured
MMLU Pro (Artificial Analysis run)Not measured68.3%Only Mistral Medium 3.1 measured
SimpleQA Verified70.7%Not measuredOnly Claude Fable 5 measured
LMArena Text: science15061444Claude Fable 5
LMArena Text: medicine and healthcare14801449Claude Fable 5
LMArena Text: legal and government14981439Claude Fable 5
LMArena Text: business and finance14801418Claude Fable 5
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Fable 5 and Mistral Medium 3.1
BenchmarkClaude Fable 5Mistral Medium 3.1Leader
Design Arena: websites12961133Claude Fable 5
Design Arena: UI components13191100Claude Fable 5
Design Arena: game dev13351074Claude Fable 5
Design Arena: data viz13041144Claude Fable 5
Design Arena: 3D13191081Claude Fable 5
Design Arena: all code categories13101120Claude Fable 5
Design Arena: SVG1302993Claude Fable 5
Design Arena: ASCII art1329997Claude Fable 5
LiveBench design84.7%Not measuredOnly Claude Fable 5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index270
General benchmarks for Claude Fable 5 and Mistral Medium 3.1
BenchmarkClaude Fable 5Mistral Medium 3.1Leader
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%39.8%Claude Fable 5
Long context reasoning (AA-LCR)82.3%42.7%Claude Fable 5
DTBench98.4%67.5%Claude Fable 5
LMCA61.2%19.1%Claude Fable 5
Surface Evolver Bench95.0%Not measuredOnly Claude Fable 5 measured
Furniture assembly35.8%Not measuredOnly Claude Fable 5 measured
LMArena Text14911424Claude Fable 5
LMArena Text: instruction following15021398Claude Fable 5
LMArena Text: creative writing14941391Claude Fable 5
LMArena Vision13251172Claude Fable 5
LMArena Text: English14981438Claude Fable 5
LMArena Text: non-English14821408Claude Fable 5
LMArena Text: Chinese15431447Claude Fable 5
LMArena Text: German14861432Claude Fable 5
LMArena Text: Japanese15041379Claude Fable 5
LMArena Text: Korean14871380Claude Fable 5
LMArena Text: French15051460Claude Fable 5
LMArena Text: Spanish14981433Claude Fable 5
LMArena Text: Russian15031411Claude Fable 5
LMArena Text: Polish14941430Claude Fable 5
LMArena Text: multi-turn15041418Claude Fable 5
LMArena Text: longer queries15101406Claude Fable 5
LMArena Text: writing and language15011395Claude Fable 5
LMArena Text: entertainment and media14821390Claude Fable 5
LMArena Vision: English13231179Claude Fable 5
LMArena Vision: Chinese13731190Claude Fable 5
LMArena Vision: reading text13371175Claude Fable 5
LMArena Vision: humor13411168Claude Fable 5
LMArena Vision: captioningNot measured1145Only Mistral Medium 3.1 measured
LMArena Vision: recognizing thingsNot measured1147Only Mistral Medium 3.1 measured
LMArena Vision: creative writing13381200Claude Fable 5
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 Mistral Medium 3.1
BenchmarkClaude Fable 5Mistral Medium 3.1Leader
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 Medium 3.1$0.0014Fits in one request

Mistral Medium 3.1 costs less

Repository review

50K input + 3K output tokens

Claude Fable 5$0.650Fits in one request
Mistral Medium 3.1$0.026Fits in one request

Mistral Medium 3.1 costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5$2.50Fits in one request
Mistral Medium 3.1$0.100Exceeds the context window

Mistral Medium 3.1 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 Medium 3.1
SpecificationAnthropic Claude Fable 5Mistral Medium 3.1
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedJune 9, 2026August 13, 2025
Context window1M131K
Input $/Mtok$10.00$0.40
Output $/Mtok$50.00$2.00
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 Mistral Medium 3.1 for coding?

Only Claude Fable 5 has a coding score, 79.3 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding. Pick Mistral Medium 3.1 for output tokens 25.0x cheaper ($2.00 vs $50.00 per million).

Which is cheaper, Claude Fable 5 or Mistral Medium 3.1?

Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for Claude Fable 5 only.

Which has the bigger context window, Claude Fable 5 or Mistral Medium 3.1?

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

How many benchmarks is the Claude Fable 5 vs Mistral Medium 3.1 comparison based on?

64 benchmarks have a result for both models as of October 21, 2026. Claude Fable 5's coding index rests on 6 independent benchmarks and Mistral Medium 3.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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