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Claude Sonnet 4.6 vs Mistral Medium 3.5

Claude Sonnet 4.6 leads Mistral Medium 3.5 on coding, 57.3 to 25.5 on the Vibe Coding Index, and Mistral Medium 3.5 costs 2.0x less per output token ($7.50 vs $15.00 per million). Updated October 22, 2026; 76 benchmarks have a result for both.

Replace Claude Sonnet 4.6 Replace Mistral Medium 3.5
Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
73
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
3
vs boards won of 76 shared

Claude Sonnet 4.6 or Mistral Medium 3.5: which to pick

Pick Claude Sonnet 4.6 for coding: it scores 57.3 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5.

Pick Mistral Medium 3.5 for output tokens 2.0x cheaper ($7.50 vs $15.00 per million) and work measured by τ²-Bench Telecom or IFBench, where it leads.

Model AClaude Sonnet 4.6Anthropic57.3/1005 independent benchmarks$1.68 per solved taskModel BMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved task
Shared results
76
Claude Sonnet 4.6 only
42
Mistral Medium 3.5 only
5
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 3.5 25.5 from 3 benchmarks.
Widest category
Agentic work, 26.3 points apart on average over 6 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Sonnet 4.6 55.8% against Mistral Medium 3.5 2.9%, 52.9 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against Mistral Medium 3.5 $7.50 per million output tokens, 2.0x apart.
Context window
Claude Sonnet 4.6 takes 1M tokens, Mistral Medium 3.5 262K.

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 3.5Ties
Coding120
Intelligence20
Agentic work51
Reasoning80
Math30
Knowledge90
Web design80
General262
All shared boards733
CodingLike-for-likeSix of these boards feed the Vibe Coding Index120
Coding benchmarks for Claude Sonnet 4.6 and Mistral Medium 3.5
BenchmarkClaude Sonnet 4.6Mistral Medium 3.5Leader
LiveBench coding66.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev15231264Claude Sonnet 4.6
AA Coding Index63.046.9Claude Sonnet 4.6
LiveCodeBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
SWE-bench Verified (Vals AI)77.4%66.4%Claude Sonnet 4.6
Vibe Code Bench (Vals AI)55.8%2.9%Claude Sonnet 4.6
Code migration (Vals AI)39.9%5.1%Claude Sonnet 4.6
ProgramBench (Vals AI)0.5%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench 2.1 (Vals AI)57.3%39.0%Claude Sonnet 4.6
SkillsBench (Vals AI)49.0%Not measuredOnly Claude Sonnet 4.6 measured
SciCode50.1%40.2%Claude Sonnet 4.6
Terminal-Bench Hard (Artificial Analysis run)53.0%33.3%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 measured764.0Only Mistral Medium 3.5 measured
LMArena Text: coding15031460Claude Sonnet 4.6
LMArena Text: software and IT14911458Claude Sonnet 4.6
LMArena WebDev: React15121254Claude Sonnet 4.6
LMArena WebDev: HTML15271308Claude Sonnet 4.6
LMArena WebDev: from an image1529Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Sonnet 4.6 and Mistral Medium 3.5
BenchmarkClaude Sonnet 4.6Mistral Medium 3.5Leader
AA Intelligence Index30.114.2Claude Sonnet 4.6
Epoch Capabilities Index152.8141.4Claude Sonnet 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index51
Agentic work benchmarks for Claude Sonnet 4.6 and Mistral Medium 3.5
BenchmarkClaude Sonnet 4.6Mistral Medium 3.5Leader
AA Agentic Index31.87.0Claude 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%32.1%Claude Sonnet 4.6
Tax Agent Bench (Vals AI)25.8%4.5%Claude Sonnet 4.6
Legal Research Bench (Vals AI)38.5%9.1%Claude Sonnet 4.6
Excel Modeling Benchmark (Vals AI)60.2%11.2%Claude Sonnet 4.6
τ²-Bench Telecom79.5%94.2%Mistral Medium 3.5
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 3.5
BenchmarkClaude Sonnet 4.6Mistral Medium 3.5Leader
GPQA Diamond85.6%34.9%Claude Sonnet 4.6
LiveBench reasoning86.4%Not measuredOnly Claude Sonnet 4.6 measured
MMMU Pro (Vals AI)83.6%Not measuredOnly Claude Sonnet 4.6 measured
GPQA Diamond (Artificial Analysis run)87.5%74.8%Claude Sonnet 4.6
Humanity's Last Exam (Artificial Analysis run)33.6%13.8%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 prompts14851436Claude Sonnet 4.6
LMArena Text: expert15001432Claude Sonnet 4.6
LMArena Text: hard prompts in English14931445Claude Sonnet 4.6
LMArena Vision: diagrams13061254Claude Sonnet 4.6
LMArena Vision: homework13111230Claude Sonnet 4.6
Kagi LLM BenchmarkNot measured41.4%Only Mistral Medium 3.5 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Sonnet 4.6 and Mistral Medium 3.5
BenchmarkClaude Sonnet 4.6Mistral Medium 3.5Leader
AIME92.3%Not measuredOnly Claude Sonnet 4.6 measured
OTIS Mock AIME85.8%Not measuredOnly Claude Sonnet 4.6 measured
ProofBench45.0%9.0%Claude Sonnet 4.6
LMArena Text: math14621431Claude Sonnet 4.6
LMArena Text: mathematical work14831440Claude Sonnet 4.6
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
Knowledge benchmarks for Claude Sonnet 4.6 and Mistral Medium 3.5
BenchmarkClaude Sonnet 4.6Mistral Medium 3.5Leader
MMLU Pro87.3%75.3%Claude Sonnet 4.6
LegalBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
CaseLaw (Vals AI)64.0%44.2%Claude Sonnet 4.6
CorpFin (Vals AI)65.3%58.8%Claude Sonnet 4.6
TaxEval (Vals AI)77.1%68.0%Claude Sonnet 4.6
MortgageTax (Vals AI)67.7%28.9%Claude Sonnet 4.6
MedQA (Vals AI)92.1%Not measuredOnly Claude Sonnet 4.6 measured
MedCode (Vals AI)Not measured33.8%Only Mistral Medium 3.5 measured
SimpleQA Verified35.5%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: science14741428Claude Sonnet 4.6
LMArena Text: medicine and healthcare14511409Claude Sonnet 4.6
LMArena Text: legal and government14701437Claude Sonnet 4.6
LMArena Text: business and finance14641426Claude 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 3.5
BenchmarkClaude Sonnet 4.6Mistral Medium 3.5Leader
Design Arena: websites12841142Claude Sonnet 4.6
Design Arena: UI components12691076Claude Sonnet 4.6
Design Arena: game dev12581079Claude Sonnet 4.6
Design Arena: data viz12781120Claude Sonnet 4.6
Design Arena: 3D12341060Claude Sonnet 4.6
Design Arena: all code categories12751121Claude Sonnet 4.6
Design Arena: SVG1196949Claude Sonnet 4.6
Design Arena: ASCII art12351062Claude Sonnet 4.6
LiveBench design71.8%Not measuredOnly Claude Sonnet 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index262
General benchmarks for Claude Sonnet 4.6 and Mistral Medium 3.5
BenchmarkClaude Sonnet 4.6Mistral Medium 3.5Leader
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%37.6%Claude Sonnet 4.6
MedScribe (Vals AI)Not measured67.7%Only Mistral Medium 3.5 measured
Vals Multimodal Index60.6%34.8%Claude Sonnet 4.6
IFBench56.6%68.8%Mistral Medium 3.5
Long context reasoning (AA-LCR)80.0%69.3%Claude Sonnet 4.6
DTBench89.9%75.5%Claude Sonnet 4.6
LMCA46.5%26.1%Claude Sonnet 4.6
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text14581421Claude Sonnet 4.6
LMArena Text: instruction following14761415Claude Sonnet 4.6
LMArena Text: creative writing14351374Claude Sonnet 4.6
LMArena Vision12831222Claude Sonnet 4.6
LMArena Text: English14721433Claude Sonnet 4.6
LMArena Text: non-English14401404Claude Sonnet 4.6
LMArena Text: Chinese14911444Claude Sonnet 4.6
LMArena Text: German14281453Mistral Medium 3.5
LMArena Text: Japanese1420Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Korean14101384Claude Sonnet 4.6
LMArena Text: French14651448Claude Sonnet 4.6
LMArena Text: Spanish14641411Claude Sonnet 4.6
LMArena Text: Russian14401395Claude Sonnet 4.6
LMArena Text: Polish14431430Claude Sonnet 4.6
LMArena Text: multi-turn14641423Claude Sonnet 4.6
LMArena Text: longer queries14791415Claude Sonnet 4.6
LMArena Text: writing and language14441384Claude Sonnet 4.6
LMArena Text: entertainment and media14311382Claude Sonnet 4.6
LMArena Vision: English12981240Claude Sonnet 4.6
LMArena Vision: Chinese13071244Claude Sonnet 4.6
LMArena Vision: reading text12961233Claude Sonnet 4.6
LMArena Vision: humor12481216Claude Sonnet 4.6
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing12721198Claude Sonnet 4.6
LMArena Document1482Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 10 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 3.5
BenchmarkClaude Sonnet 4.6Mistral Medium 3.5Leader
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 3.5$0.0053Fits in one request

Mistral Medium 3.5 costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.6$0.195Fits in one request
Mistral Medium 3.5$0.098Fits in one request

Mistral Medium 3.5 costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.6$0.750Fits in one request
Mistral Medium 3.5$0.375Fits in one request

Mistral Medium 3.5 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 3.5
SpecificationAnthropic Claude Sonnet 4.6Mistral Medium 3.5
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 17, 2026April 30, 2026
Context window1M262K
Input $/Mtok$3.00$1.50
Output $/Mtok$15.00$7.50
Coding index57.325.5
Independent measurements behind it53
Cost per solved task$1.68$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.6 better than Mistral Medium 3.5 for coding?

Pick Claude Sonnet 4.6 for coding: it scores 57.3 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5. Pick Mistral Medium 3.5 for output tokens 2.0x cheaper ($7.50 vs $15.00 per million) and work measured by τ²-Bench Telecom or IFBench, where it leads.

Which is cheaper, Claude Sonnet 4.6 or Mistral Medium 3.5?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Per solved SWE-bench Verified task, Claude Sonnet 4.6 costs $1.68 and Mistral Medium 3.5 $6.02.

Which has the bigger context window, Claude Sonnet 4.6 or Mistral Medium 3.5?

Claude Sonnet 4.6, with 1M tokens against 262K.

How many benchmarks is the Claude Sonnet 4.6 vs Mistral Medium 3.5 comparison based on?

76 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 3.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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