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Claude Opus 4.1 vs Mistral Medium 3.1

Claude Opus 4.1 leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 22.8 to 9.2, and Mistral Medium 3.1 costs 37.5x less per output token ($2.00 vs $75.00 per million). Updated October 21, 2026; 49 benchmarks have a result for both.

Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
37
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
12
vs boards won of 49 shared

Claude Opus 4.1 or Mistral Medium 3.1: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Claude Opus 4.1 for a larger context window (200K against 131K tokens) and work measured by LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.

Shared results
49
Claude Opus 4.1 only
24
Mistral Medium 3.1 only
25
Like-for-like categories
7 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 Opus 4.1 not benchmarked, Mistral Medium 3.1 not benchmarked.
Widest category
Intelligence, 13.6 points apart on average over 1 shared benchmark.
Widest single gap
AIME: Claude Opus 4.1 78.2% against Mistral Medium 3.1 42.3%, 35.9 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Mistral Medium 3.1 $2.00 per million output tokens, 37.5x apart.
Context window
Claude Opus 4.1 takes 200K 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 Opus 4.1BarsMistral Medium 3.1Ties
Coding30
Intelligence10
Reasoning40
Math50
Knowledge54
Web design80
General118
All shared boards3712
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Opus 4.1 and Mistral Medium 3.1
BenchmarkClaude Opus 4.1Mistral Medium 3.1Leader
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
AA Coding IndexNot measured20.5Only Mistral Medium 3.1 measured
LiveCodeBench (Vals AI)66.5%44.8%Claude Opus 4.1
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-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
WeirdML45.9%Not measuredOnly Claude Opus 4.1 measured
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding14791433Claude Opus 4.1
LMArena Text: software and IT14561436Claude Opus 4.1
LMArena WebDev: HTML1399Not measuredOnly Claude Opus 4.1 measured
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.1 and Mistral Medium 3.1
BenchmarkClaude Opus 4.1Mistral Medium 3.1Leader
AA Intelligence Index22.89.2Claude Opus 4.1
Epoch Capabilities Index144.1Not measuredOnly Claude Opus 4.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and Mistral Medium 3.1
BenchmarkClaude Opus 4.1Mistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
τ²-Bench TelecomNot measured40.6%Only Mistral Medium 3.1 measured
METR time horizons66.8%Not measuredOnly Claude Opus 4.1 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for Claude Opus 4.1 and Mistral Medium 3.1
BenchmarkClaude Opus 4.1Mistral Medium 3.1Leader
GPQA Diamond76.3%Not measuredOnly Claude Opus 4.1 measured
MMMU Pro (Vals AI)77.5%63.0%Claude Opus 4.1
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)77.3%Not measuredOnly Claude Opus 4.1 measured
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 measured
Mystery game puzzles21.0%Not measuredOnly Claude Opus 4.1 measured
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421426Claude Opus 4.1
LMArena Text: expert14381408Claude Opus 4.1
LMArena Text: hard prompts in English14511435Claude Opus 4.1
LMArena Vision: diagramsNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3.1 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for Claude Opus 4.1 and Mistral Medium 3.1
BenchmarkClaude Opus 4.1Mistral Medium 3.1Leader
AIME78.2%42.3%Claude Opus 4.1
MATH 500 (Vals AI)95.4%87.0%Claude Opus 4.1
MGSM (Vals AI)94.4%90.9%Claude Opus 4.1
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 AIME68.9%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tiers 1 to 312.6%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: math14311408Claude Opus 4.1
LMArena Text: mathematical work14341412Claude Opus 4.1
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index54
Knowledge benchmarks for Claude Opus 4.1 and Mistral Medium 3.1
BenchmarkClaude Opus 4.1Mistral Medium 3.1Leader
MMLU Pro87.9%75.3%Claude Opus 4.1
LegalBench (Vals AI)83.5%62.0%Claude Opus 4.1
CorpFin (Vals AI)Not measured50.7%Only Mistral Medium 3.1 measured
TaxEval (Vals AI)73.7%70.3%Claude Opus 4.1
MortgageTax (Vals AI)61.1%36.5%Claude Opus 4.1
MedQA (Vals AI)93.6%78.2%Claude Opus 4.1
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
MMLU Pro (Artificial Analysis run)Not measured68.3%Only Mistral Medium 3.1 measured
LMArena Text: science14221444Mistral Medium 3.1
LMArena Text: medicine and healthcare14161449Mistral Medium 3.1
LMArena Text: legal and government14211439Mistral Medium 3.1
LMArena Text: business and finance14061418Mistral Medium 3.1
FACTS Benchmark Suite40.4%Not measuredOnly Claude Opus 4.1 measured
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 Opus 4.1 and Mistral Medium 3.1
BenchmarkClaude Opus 4.1Mistral Medium 3.1Leader
Design Arena: websites11771133Claude Opus 4.1
Design Arena: UI components11651100Claude Opus 4.1
Design Arena: game dev11711074Claude Opus 4.1
Design Arena: data viz11661144Claude Opus 4.1
Design Arena: 3D11531081Claude Opus 4.1
Design Arena: all code categories11711120Claude Opus 4.1
Design Arena: SVG1152993Claude Opus 4.1
Design Arena: ASCII art1167997Claude Opus 4.1
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index118
General benchmarks for Claude Opus 4.1 and Mistral Medium 3.1
BenchmarkClaude Opus 4.1Mistral Medium 3.1Leader
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%Not measuredOnly Claude Opus 4.1 measured
IFBenchNot measured39.8%Only Mistral Medium 3.1 measured
Long context reasoning (AA-LCR)Not measured42.7%Only Mistral Medium 3.1 measured
DTBench80.0%67.5%Claude Opus 4.1
LMCA37.1%19.1%Claude Opus 4.1
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
LMArena Text14191424Mistral Medium 3.1
LMArena Text: instruction following14351398Claude Opus 4.1
LMArena Text: creative writing14121391Claude Opus 4.1
LMArena VisionNot measured1172Only Mistral Medium 3.1 measured
LMArena Text: English14331438Mistral Medium 3.1
LMArena Text: non-English14051408Mistral Medium 3.1
LMArena Text: Chinese14271447Mistral Medium 3.1
LMArena Text: German14131432Mistral Medium 3.1
LMArena Text: Japanese13771379Mistral Medium 3.1
LMArena Text: Korean13811380Claude Opus 4.1
LMArena Text: French14331460Mistral Medium 3.1
LMArena Text: Spanish14481433Claude Opus 4.1
LMArena Text: Russian14221411Claude Opus 4.1
LMArena Text: Polish14131430Mistral Medium 3.1
LMArena Text: multi-turn14441418Claude Opus 4.1
LMArena Text: longer queries14551406Claude Opus 4.1
LMArena Text: writing and language14181395Claude Opus 4.1
LMArena Text: entertainment and media13981390Claude Opus 4.1
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
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 Opus 4.1 and Mistral Medium 3.1
BenchmarkClaude Opus 4.1Mistral 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 Opus 4.1$0.052Fits 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 Opus 4.1$0.975Fits 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 Opus 4.1$3.75Exceeds the context window
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 Opus 4.1 and Mistral Medium 3.1
SpecificationAnthropic Claude Opus 4.1Mistral Medium 3.1
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025August 13, 2025
Context window200K131K
Input $/Mtok$15.00$0.40
Output $/Mtok$75.00$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than Mistral Medium 3.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for a larger context window (200K against 131K tokens) and work measured by LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.

Which is cheaper, Claude Opus 4.1 or Mistral Medium 3.1?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 4.1 or Mistral Medium 3.1?

Claude Opus 4.1, with 200K tokens against 131K.

How many benchmarks is the Claude Opus 4.1 vs Mistral Medium 3.1 comparison based on?

49 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark 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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