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Claude Sonnet 4.5 vs Mistral Medium 3.1

Claude Sonnet 4.5 leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 20.7 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; 51 benchmarks have a result for both.

Replace Claude Sonnet 4.5 Replace Mistral Medium 3.1
Claude Sonnet 4.5Anthropic
Coding
39.5
Overall
49.5
Output $/M
$15.00
47
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
4
vs boards won of 51 shared

Claude Sonnet 4.5 or Mistral Medium 3.1: which to pick

Only Claude Sonnet 4.5 has a coding score, 39.5 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: medicine and healthcare or LMArena Text: German, where it leads.

Model AClaude Sonnet 4.5Anthropic39.5/1003 independent benchmarks$1.16 per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
51
Claude Sonnet 4.5 only
44
Mistral Medium 3.1 only
23
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 4.5 39.5 from 3 benchmarks, Mistral Medium 3.1 not benchmarked.
Widest category
Coding, 18.7 points apart on average over 4 shared benchmarks.
Widest single gap
AIME: Claude Sonnet 4.5 88.2% against Mistral Medium 3.1 42.3%, 45.9 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.5 $15.00 against Mistral Medium 3.1 $2.00 per million output tokens, 7.5x apart.
Context window
Claude Sonnet 4.5 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 Sonnet 4.5BarsMistral Medium 3.1Ties
Coding40
Intelligence10
Agentic work10
Reasoning40
Math40
Knowledge91
Web design80
General163
All shared boards474
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for Claude Sonnet 4.5 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.5Mistral Medium 3.1Leader
SWE-bench Verified74.8%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Multilingual67.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev1394Not measuredOnly Claude Sonnet 4.5 measured
AA Coding Index52.120.5Claude Sonnet 4.5
LiveCodeBench (Vals AI)73.0%44.8%Claude Sonnet 4.5
SWE-bench Verified (Vals AI)70.0%Not measuredOnly Claude Sonnet 4.5 measured
Vibe Code Bench (Vals AI)22.6%Not measuredOnly Claude Sonnet 4.5 measured
LiveCodeBench (Artificial Analysis run)Not measured40.6%Only Mistral Medium 3.1 measured
SciCodeNot measured32.4%Only Mistral Medium 3.1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured10.6%Only Mistral Medium 3.1 measured
Terminal-Bench46.5%Not measuredOnly Claude Sonnet 4.5 measured
GSO-Bench14.7%Not measuredOnly Claude Sonnet 4.5 measured
WeirdML47.7%Not measuredOnly Claude Sonnet 4.5 measured
Cybench60.0%Not measuredOnly Claude Sonnet 4.5 measured
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding14881433Claude Sonnet 4.5
LMArena Text: software and IT14731436Claude Sonnet 4.5
LMArena WebDev: React1386Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev: HTML1399Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Sonnet 4.5 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.5Mistral Medium 3.1Leader
AA Intelligence Index20.79.2Claude Sonnet 4.5
Epoch Capabilities Index146.7Not measuredOnly Claude Sonnet 4.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Sonnet 4.5 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.5Mistral Medium 3.1Leader
AA Agentic Index15.81.9Claude Sonnet 4.5
Design Arena: agents building web apps1060Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building full-stack apps1050Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building mobile apps1137Not measuredOnly Claude Sonnet 4.5 measured
τ²-Bench TelecomNot measured40.6%Only Mistral Medium 3.1 measured
METR time horizons67.4%Not measuredOnly Claude Sonnet 4.5 measured
Remote Labor Index2.1%Not measuredOnly Claude Sonnet 4.5 measured
GDPval42.5%Not measuredOnly Claude Sonnet 4.5 measured
DeepResearch Bench52.6%Not measuredOnly Claude Sonnet 4.5 measured
OSWorld62.9%Not measuredOnly Claude Sonnet 4.5 measured
Vending-Bench 2$3,839Not measuredOnly Claude Sonnet 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)73.2%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for Claude Sonnet 4.5 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.5Mistral Medium 3.1Leader
GPQA Diamond81.6%Not measuredOnly Claude Sonnet 4.5 measured
MMMU Pro (Vals AI)79.3%63.0%Claude Sonnet 4.5
GPQA Diamond (Artificial Analysis run)Not measured58.8%Only Mistral Medium 3.1 measured
Humanity's Last Exam (Artificial Analysis run)Not measured4.7%Only Mistral Medium 3.1 measured
GPQA Diamond (Epoch AI run)82.3%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI63.7%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI-213.6%Not measuredOnly Claude Sonnet 4.5 measured
SimpleBench54.3%Not measuredOnly Claude Sonnet 4.5 measured
Chess puzzles10.0%Not measuredOnly Claude Sonnet 4.5 measured
Mystery game puzzles17.0%Not measuredOnly Claude Sonnet 4.5 measured
EBR-bench2.4%Not measuredOnly Claude Sonnet 4.5 measured
VPCT39.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts14621426Claude Sonnet 4.5
LMArena Text: expert14831408Claude Sonnet 4.5
LMArena Text: hard prompts in English14711435Claude Sonnet 4.5
LMArena Vision: diagramsNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3.1 measured
Kagi LLM Benchmark57.9%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Sonnet 4.5 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.5Mistral Medium 3.1Leader
AIME88.2%42.3%Claude Sonnet 4.5
MATH 500 (Vals AI)Not measured87.0%Only Mistral Medium 3.1 measured
MGSM (Vals AI)94.3%90.9%Claude Sonnet 4.5
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 AIME77.8%Not measuredOnly Claude Sonnet 4.5 measured
FrontierMath, tiers 1 to 323.9%Not measuredOnly Claude Sonnet 4.5 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Sonnet 4.5 measured
ProofBench19.0%Not measuredOnly Claude Sonnet 4.5 measured
MATH level 597.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: math14491408Claude Sonnet 4.5
LMArena Text: mathematical work14621412Claude Sonnet 4.5
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91
Knowledge benchmarks for Claude Sonnet 4.5 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.5Mistral Medium 3.1Leader
MMLU Pro87.4%75.3%Claude Sonnet 4.5
LegalBench (Vals AI)84.1%62.0%Claude Sonnet 4.5
CaseLaw (Vals AI)62.2%Not measuredOnly Claude Sonnet 4.5 measured
CorpFin (Vals AI)62.0%50.7%Claude Sonnet 4.5
TaxEval (Vals AI)73.3%70.3%Claude Sonnet 4.5
MortgageTax (Vals AI)64.0%36.5%Claude Sonnet 4.5
MedQA (Vals AI)94.7%78.2%Claude Sonnet 4.5
MedCode (Vals AI)44.1%Not measuredOnly Claude Sonnet 4.5 measured
MMLU Pro (Artificial Analysis run)Not measured68.3%Only Mistral Medium 3.1 measured
SimpleQA Verified30.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: science14481444Claude Sonnet 4.5
LMArena Text: medicine and healthcare14441449Mistral Medium 3.1
LMArena Text: legal and government14511439Claude Sonnet 4.5
LMArena Text: business and finance14401418Claude Sonnet 4.5
FACTS Benchmark Suite40.6%Not measuredOnly Claude Sonnet 4.5 measured
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 Sonnet 4.5 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.5Mistral Medium 3.1Leader
Design Arena: websites11891132Claude Sonnet 4.5
Design Arena: UI components11701097Claude Sonnet 4.5
Design Arena: game dev11661073Claude Sonnet 4.5
Design Arena: data viz11671144Claude Sonnet 4.5
Design Arena: 3D11571081Claude Sonnet 4.5
Design Arena: all code categories11821120Claude Sonnet 4.5
Design Arena: SVG1115992Claude Sonnet 4.5
Design Arena: ASCII art1205997Claude Sonnet 4.5
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index163
General benchmarks for Claude Sonnet 4.5 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.5Mistral Medium 3.1Leader
SAGE (Vals AI)36.1%Not measuredOnly Claude Sonnet 4.5 measured
MedScribe (Vals AI)84.5%Not measuredOnly Claude Sonnet 4.5 measured
IFBenchNot measured39.8%Only Mistral Medium 3.1 measured
Long context reasoning (AA-LCR)Not measured42.7%Only Mistral Medium 3.1 measured
DTBench83.2%67.5%Claude Sonnet 4.5
LMCA38.8%19.1%Claude Sonnet 4.5
LMArena Text14381424Claude Sonnet 4.5
LMArena Text: instruction following14591398Claude Sonnet 4.5
LMArena Text: creative writing14421391Claude Sonnet 4.5
LMArena VisionNot measured1172Only Mistral Medium 3.1 measured
LMArena Text: English14501438Claude Sonnet 4.5
LMArena Text: non-English14251408Claude Sonnet 4.5
LMArena Text: Chinese14601447Claude Sonnet 4.5
LMArena Text: German14271432Mistral Medium 3.1
LMArena Text: Japanese13901379Claude Sonnet 4.5
LMArena Text: Korean14021380Claude Sonnet 4.5
LMArena Text: French14591460Mistral Medium 3.1
LMArena Text: Spanish14581433Claude Sonnet 4.5
LMArena Text: Russian14371411Claude Sonnet 4.5
LMArena Text: Polish14231430Mistral Medium 3.1
LMArena Text: multi-turn14651418Claude Sonnet 4.5
LMArena Text: longer queries14751406Claude Sonnet 4.5
LMArena Text: writing and language14421395Claude Sonnet 4.5
LMArena Text: entertainment and media14281390Claude Sonnet 4.5
LMArena Vision: EnglishNot measured1179Only Mistral Medium 3.1 measured
LMArena Vision: ChineseNot measured1190Only Mistral Medium 3.1 measured
LMArena Vision: reading textNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: humorNot measured1168Only Mistral Medium 3.1 measured
LMArena Vision: captioningNot measured1145Only Mistral Medium 3.1 measured
LMArena Vision: recognizing thingsNot measured1147Only Mistral Medium 3.1 measured
LMArena Vision: creative writingNot measured1200Only Mistral Medium 3.1 measured
LMArena Document1450Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 4.5 and Mistral Medium 3.1
BenchmarkClaude Sonnet 4.5Mistral 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 Sonnet 4.5$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 4.5$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 4.5$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 4.5 and Mistral Medium 3.1
SpecificationAnthropic Claude Sonnet 4.5Mistral Medium 3.1
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 29, 2025August 13, 2025
Context window1M131K
Input $/Mtok$3.00$0.40
Output $/Mtok$15.00$2.00
Coding index39.5Not benchmarked
Independent measurements behind it30
Cost per solved task$1.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.5 better than Mistral Medium 3.1 for coding?

Only Claude Sonnet 4.5 has a coding score, 39.5 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: medicine and healthcare or LMArena Text: German, where it leads.

Which is cheaper, Claude Sonnet 4.5 or Mistral Medium 3.1?

Claude Sonnet 4.5 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 4.5 only.

Which has the bigger context window, Claude Sonnet 4.5 or Mistral Medium 3.1?

Claude Sonnet 4.5, with 1M tokens against 131K.

How many benchmarks is the Claude Sonnet 4.5 vs Mistral Medium 3.1 comparison based on?

51 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.5's coding index rests on 3 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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