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Claude Sonnet 4.6 vs Mistral Medium 3.1

Claude Sonnet 4.6 leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 30.1 to 9.2, and Mistral Medium 3.1 costs 7.5x less per output token ($2.00 vs $15.00 per million). Updated October 22, 2026; 66 benchmarks have a result for both.

Replace Claude Sonnet 4.6 Replace Mistral Medium 3.1
Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
65
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
1
vs boards won of 66 shared

Claude Sonnet 4.6 or Mistral Medium 3.1: which to pick

Only Claude Sonnet 4.6 has a coding score, 57.3 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 7.5x cheaper ($2.00 vs $15.00 per million) and work measured by LMArena Text: German, where it leads.

Model AClaude Sonnet 4.6Anthropic57.3/1005 independent benchmarks$1.68 per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
66
Claude Sonnet 4.6 only
52
Mistral Medium 3.1 only
8
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 Sonnet 4.6 57.3 from 5 benchmarks, Mistral Medium 3.1 not benchmarked.
Widest category
Agentic work, 34.4 points apart on average over 2 shared benchmarks.
Widest single gap
AIME: Claude Sonnet 4.6 92.3% against Mistral Medium 3.1 42.3%, 50.0 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against Mistral Medium 3.1 $2.00 per million output tokens, 7.5x apart.
Context window
Claude Sonnet 4.6 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 Sonnet 4.6BarsMistral Medium 3.1Ties
Coding60
Intelligence10
Agentic work20
Reasoning80
Math30
Knowledge100
Web design80
General271
All shared boards651
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Claude Sonnet 4.6 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.6Mistral Medium 3.1Leader
LiveBench coding66.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev1523Not measuredOnly Claude Sonnet 4.6 measured
AA Coding Index63.020.5Claude Sonnet 4.6
LiveCodeBench (Vals AI)82.1%44.8%Claude Sonnet 4.6
SWE-bench Verified (Vals AI)77.4%Not measuredOnly Claude Sonnet 4.6 measured
Vibe Code Bench (Vals AI)55.8%Not measuredOnly Claude Sonnet 4.6 measured
Code migration (Vals AI)39.9%Not measuredOnly Claude Sonnet 4.6 measured
ProgramBench (Vals AI)0.5%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench 2.1 (Vals AI)57.3%Not measuredOnly Claude Sonnet 4.6 measured
SkillsBench (Vals AI)49.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveCodeBench (Artificial Analysis run)Not measured40.6%Only Mistral Medium 3.1 measured
SciCode50.1%32.4%Claude Sonnet 4.6
Terminal-Bench Hard (Artificial Analysis run)53.0%10.6%Claude Sonnet 4.6
Terminal-Bench53.4%Not measuredOnly Claude Sonnet 4.6 measured
FrontierCode24.3%Not measuredOnly Claude Sonnet 4.6 measured
WeirdML66.1%Not measuredOnly Claude Sonnet 4.6 measured
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding15031433Claude Sonnet 4.6
LMArena Text: software and IT14911436Claude Sonnet 4.6
LMArena WebDev: React1512Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev: HTML1527Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev: from an image1529Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Sonnet 4.6 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.6Mistral Medium 3.1Leader
AA Intelligence Index30.19.2Claude Sonnet 4.6
Epoch Capabilities Index152.8Not measuredOnly Claude Sonnet 4.6 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Sonnet 4.6 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.6Mistral Medium 3.1Leader
AA Agentic Index31.81.9Claude Sonnet 4.6
Design Arena: agents building web apps1190Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building full-stack apps1213Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building mobile apps1212Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Android apps1197Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Godot games1226Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building games1177Not measuredOnly Claude Sonnet 4.6 measured
LiveBench research63.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench browser68.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench long agentic23.1%Not measuredOnly Claude Sonnet 4.6 measured
Finance Agent (Vals AI)51.0%Not measuredOnly Claude Sonnet 4.6 measured
Tax Agent Bench (Vals AI)25.8%Not measuredOnly Claude Sonnet 4.6 measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Claude Sonnet 4.6 measured
Excel Modeling Benchmark (Vals AI)60.2%Not measuredOnly Claude Sonnet 4.6 measured
τ²-Bench Telecom79.5%40.6%Claude Sonnet 4.6
APEX-Agents43.0%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld 2.09.3%Not measuredOnly Claude Sonnet 4.6 measured
DeepResearch Bench54.9%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld72.1%Not measuredOnly Claude Sonnet 4.6 measured
Vending-Bench 2$7,204Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Claude Sonnet 4.6 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.6Mistral Medium 3.1Leader
GPQA Diamond85.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench reasoning86.4%Not measuredOnly Claude Sonnet 4.6 measured
MMMU Pro (Vals AI)83.6%63.0%Claude Sonnet 4.6
GPQA Diamond (Artificial Analysis run)87.5%58.8%Claude Sonnet 4.6
Humanity's Last Exam (Artificial Analysis run)33.6%4.7%Claude Sonnet 4.6
GPQA Diamond (Epoch AI run)87.4%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI86.5%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI-260.4%Not measuredOnly Claude Sonnet 4.6 measured
Chess puzzles23.0%Not measuredOnly Claude Sonnet 4.6 measured
Mystery game puzzles16.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: hard prompts14851426Claude Sonnet 4.6
LMArena Text: expert15001408Claude Sonnet 4.6
LMArena Text: hard prompts in English14931435Claude Sonnet 4.6
LMArena Vision: diagrams13061175Claude Sonnet 4.6
LMArena Vision: homework13111165Claude Sonnet 4.6
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Sonnet 4.6 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.6Mistral Medium 3.1Leader
AIME92.3%42.3%Claude Sonnet 4.6
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 AIME85.8%Not measuredOnly Claude Sonnet 4.6 measured
ProofBench45.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: math14621408Claude Sonnet 4.6
LMArena Text: mathematical work14831412Claude Sonnet 4.6
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for Claude Sonnet 4.6 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.6Mistral Medium 3.1Leader
MMLU Pro87.3%75.3%Claude Sonnet 4.6
LegalBench (Vals AI)82.1%62.0%Claude Sonnet 4.6
CaseLaw (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.6 measured
CorpFin (Vals AI)65.3%50.7%Claude Sonnet 4.6
TaxEval (Vals AI)77.1%70.3%Claude Sonnet 4.6
MortgageTax (Vals AI)67.7%36.5%Claude Sonnet 4.6
MedQA (Vals AI)92.1%78.2%Claude Sonnet 4.6
MMLU Pro (Artificial Analysis run)Not measured68.3%Only Mistral Medium 3.1 measured
SimpleQA Verified35.5%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: science14741444Claude Sonnet 4.6
LMArena Text: medicine and healthcare14511449Claude Sonnet 4.6
LMArena Text: legal and government14701439Claude Sonnet 4.6
LMArena Text: business and finance14641418Claude Sonnet 4.6
FACTS Benchmark Suite37.0%Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Sonnet 4.6 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.6Mistral Medium 3.1Leader
Design Arena: websites12841132Claude Sonnet 4.6
Design Arena: UI components12691097Claude Sonnet 4.6
Design Arena: game dev12581073Claude Sonnet 4.6
Design Arena: data viz12781144Claude Sonnet 4.6
Design Arena: 3D12341081Claude Sonnet 4.6
Design Arena: all code categories12751120Claude Sonnet 4.6
Design Arena: SVG1196992Claude Sonnet 4.6
Design Arena: ASCII art1235997Claude Sonnet 4.6
LiveBench design71.8%Not measuredOnly Claude Sonnet 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index271
General benchmarks for Claude Sonnet 4.6 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.6Mistral Medium 3.1Leader
LiveBench data analysis76.1%Not measuredOnly Claude Sonnet 4.6 measured
Public Benefits Bench (Vals AI)62.5%Not measuredOnly Claude Sonnet 4.6 measured
SAGE (Vals AI)46.6%Not measuredOnly Claude Sonnet 4.6 measured
Vals Multimodal Index60.6%Not measuredOnly Claude Sonnet 4.6 measured
IFBench56.6%39.8%Claude Sonnet 4.6
Long context reasoning (AA-LCR)80.0%42.7%Claude Sonnet 4.6
DTBench89.9%67.5%Claude Sonnet 4.6
LMCA46.5%19.1%Claude Sonnet 4.6
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text14581424Claude Sonnet 4.6
LMArena Text: instruction following14761398Claude Sonnet 4.6
LMArena Text: creative writing14351391Claude Sonnet 4.6
LMArena Vision12831172Claude Sonnet 4.6
LMArena Text: English14721438Claude Sonnet 4.6
LMArena Text: non-English14401408Claude Sonnet 4.6
LMArena Text: Chinese14911447Claude Sonnet 4.6
LMArena Text: German14281432Mistral Medium 3.1
LMArena Text: Japanese14201379Claude Sonnet 4.6
LMArena Text: Korean14101380Claude Sonnet 4.6
LMArena Text: French14651460Claude Sonnet 4.6
LMArena Text: Spanish14641433Claude Sonnet 4.6
LMArena Text: Russian14401411Claude Sonnet 4.6
LMArena Text: Polish14431430Claude Sonnet 4.6
LMArena Text: multi-turn14641418Claude Sonnet 4.6
LMArena Text: longer queries14791406Claude Sonnet 4.6
LMArena Text: writing and language14441395Claude Sonnet 4.6
LMArena Text: entertainment and media14311390Claude Sonnet 4.6
LMArena Vision: English12981179Claude Sonnet 4.6
LMArena Vision: Chinese13071190Claude Sonnet 4.6
LMArena Vision: reading text12961175Claude Sonnet 4.6
LMArena Vision: humor12481168Claude Sonnet 4.6
LMArena Vision: captioningNot measured1145Only Mistral Medium 3.1 measured
LMArena Vision: recognizing things11951147Claude Sonnet 4.6
LMArena Vision: creative writing12721200Claude Sonnet 4.6
LMArena Document1482Not measuredOnly Claude Sonnet 4.6 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 Sonnet 4.6 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.6Mistral 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 Sonnet 4.6$0.011Fits 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 Sonnet 4.6$0.195Fits 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 Sonnet 4.6$0.750Fits 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 Sonnet 4.6 and Mistral Medium 3.1
SpecificationAnthropic Claude Sonnet 4.6Mistral Medium 3.1
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 17, 2026August 13, 2025
Context window1M131K
Input $/Mtok$3.00$0.40
Output $/Mtok$15.00$2.00
Coding index57.3Not benchmarked
Independent measurements behind it50
Cost per solved task$1.68Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.6 better than Mistral Medium 3.1 for coding?

Only Claude Sonnet 4.6 has a coding score, 57.3 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 7.5x cheaper ($2.00 vs $15.00 per million) and work measured by LMArena Text: German, where it leads.

Which is cheaper, Claude Sonnet 4.6 or Mistral Medium 3.1?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for Claude Sonnet 4.6 only.

Which has the bigger context window, Claude Sonnet 4.6 or Mistral Medium 3.1?

Claude Sonnet 4.6, with 1M tokens against 131K.

How many benchmarks is the Claude Sonnet 4.6 vs Mistral Medium 3.1 comparison based on?

66 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.6's coding index rests on 5 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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