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Claude Opus 4.1 vs Mistral Medium 3.5

Claude Opus 4.1 leads Mistral Medium 3.5 on the Artificial Analysis Intelligence Index, 22.8 to 14.2, and Mistral Medium 3.5 costs 10.0x less per output token ($7.50 vs $75.00 per million). Updated October 22, 2026; 48 benchmarks have a result for both.

Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
34
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
14
vs boards won of 48 shared

Claude Opus 4.1 or Mistral Medium 3.5: which to pick

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding.

Pick Claude Opus 4.1 for work measured by LMArena WebDev or LMArena Text: coding, where it leads.

Shared results
48
Claude Opus 4.1 only
25
Mistral Medium 3.5 only
33
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 3.5 25.5 from 3 benchmarks.
Widest category
Reasoning, 11.1 points apart on average over 4 shared benchmarks.
Widest single gap
GPQA Diamond: Claude Opus 4.1 76.3% against Mistral Medium 3.5 34.9%, 41.4 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Mistral Medium 3.5 $7.50 per million output tokens, 10.0x apart.
Context window
Claude Opus 4.1 takes 200K 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 Opus 4.1BarsMistral Medium 3.5Ties
Coding31
Intelligence20
Reasoning40
Math02
Knowledge53
Web design80
General128
All shared boards3414
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
Coding benchmarks for Claude Opus 4.1 and Mistral Medium 3.5
BenchmarkClaude Opus 4.1Mistral Medium 3.5Leader
LMArena WebDev13901264Claude Opus 4.1
AA Coding IndexNot measured46.9Only Mistral Medium 3.5 measured
LiveCodeBench (Vals AI)66.5%Not measuredOnly Claude Opus 4.1 measured
SWE-bench Verified (Vals AI)Not measured66.4%Only Mistral Medium 3.5 measured
Vibe Code Bench (Vals AI)Not measured2.9%Only Mistral Medium 3.5 measured
Code migration (Vals AI)Not measured5.1%Only Mistral Medium 3.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured39.0%Only Mistral Medium 3.5 measured
SciCodeNot measured40.2%Only Mistral Medium 3.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured33.3%Only Mistral Medium 3.5 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 measured764.0Only Mistral Medium 3.5 measured
LMArena Text: coding14791460Claude Opus 4.1
LMArena Text: software and IT14561458Mistral Medium 3.5
LMArena WebDev: ReactNot measured1254Only Mistral Medium 3.5 measured
LMArena WebDev: HTML13991308Claude Opus 4.1
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.1 and Mistral Medium 3.5
BenchmarkClaude Opus 4.1Mistral Medium 3.5Leader
AA Intelligence Index22.814.2Claude Opus 4.1
Epoch Capabilities Index144.1141.4Claude Opus 4.1
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and Mistral Medium 3.5
BenchmarkClaude Opus 4.1Mistral Medium 3.5Leader
AA Agentic IndexNot measured7.0Only Mistral Medium 3.5 measured
Finance Agent (Vals AI)Not measured32.1%Only Mistral Medium 3.5 measured
Tax Agent Bench (Vals AI)Not measured4.5%Only Mistral Medium 3.5 measured
Legal Research Bench (Vals AI)Not measured9.1%Only Mistral Medium 3.5 measured
Excel Modeling Benchmark (Vals AI)Not measured11.2%Only Mistral Medium 3.5 measured
τ²-Bench TelecomNot measured94.2%Only Mistral Medium 3.5 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 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for Claude Opus 4.1 and Mistral Medium 3.5
BenchmarkClaude Opus 4.1Mistral Medium 3.5Leader
GPQA Diamond76.3%34.9%Claude Opus 4.1
MMMU Pro (Vals AI)77.5%Not measuredOnly Claude Opus 4.1 measured
GPQA Diamond (Artificial Analysis run)Not measured74.8%Only Mistral Medium 3.5 measured
Humanity's Last Exam (Artificial Analysis run)Not measured13.8%Only Mistral Medium 3.5 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 prompts14421436Claude Opus 4.1
LMArena Text: expert14381432Claude Opus 4.1
LMArena Text: hard prompts in English14511445Claude Opus 4.1
LMArena Vision: diagramsNot measured1254Only Mistral Medium 3.5 measured
LMArena Vision: homeworkNot measured1230Only Mistral Medium 3.5 measured
Kagi LLM BenchmarkNot measured41.4%Only Mistral Medium 3.5 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Claude Opus 4.1 and Mistral Medium 3.5
BenchmarkClaude Opus 4.1Mistral Medium 3.5Leader
AIME78.2%Not measuredOnly Claude Opus 4.1 measured
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%Not measuredOnly Claude Opus 4.1 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
ProofBenchNot measured9.0%Only Mistral Medium 3.5 measured
LMArena Text: math14311431Mistral Medium 3.5
LMArena Text: mathematical work14341440Mistral Medium 3.5
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index53
Knowledge benchmarks for Claude Opus 4.1 and Mistral Medium 3.5
BenchmarkClaude Opus 4.1Mistral Medium 3.5Leader
MMLU Pro87.9%75.3%Claude Opus 4.1
LegalBench (Vals AI)83.5%Not measuredOnly Claude Opus 4.1 measured
CaseLaw (Vals AI)Not measured44.2%Only Mistral Medium 3.5 measured
CorpFin (Vals AI)Not measured58.8%Only Mistral Medium 3.5 measured
TaxEval (Vals AI)73.7%68.0%Claude Opus 4.1
MortgageTax (Vals AI)61.1%28.9%Claude Opus 4.1
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%33.8%Claude Opus 4.1
LMArena Text: science14221428Mistral Medium 3.5
LMArena Text: medicine and healthcare14161409Claude Opus 4.1
LMArena Text: legal and government14211437Mistral Medium 3.5
LMArena Text: business and finance14061426Mistral Medium 3.5
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 3.5
BenchmarkClaude Opus 4.1Mistral Medium 3.5Leader
Design Arena: websites11761142Claude Opus 4.1
Design Arena: UI components11621076Claude Opus 4.1
Design Arena: game dev11711079Claude Opus 4.1
Design Arena: data viz11661120Claude Opus 4.1
Design Arena: 3D11521060Claude Opus 4.1
Design Arena: all code categories11701121Claude Opus 4.1
Design Arena: SVG1152949Claude Opus 4.1
Design Arena: ASCII art11671062Claude 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 index128
General benchmarks for Claude Opus 4.1 and Mistral Medium 3.5
BenchmarkClaude Opus 4.1Mistral Medium 3.5Leader
SAGE (Vals AI)31.4%37.6%Mistral Medium 3.5
MedScribe (Vals AI)73.9%67.7%Claude Opus 4.1
Vals Multimodal IndexNot measured34.8%Only Mistral Medium 3.5 measured
IFBenchNot measured68.8%Only Mistral Medium 3.5 measured
Long context reasoning (AA-LCR)Not measured69.3%Only Mistral Medium 3.5 measured
DTBench80.0%75.5%Claude Opus 4.1
LMCA37.1%26.1%Claude Opus 4.1
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
LMArena Text14191421Mistral Medium 3.5
LMArena Text: instruction following14351415Claude Opus 4.1
LMArena Text: creative writing14121374Claude Opus 4.1
LMArena VisionNot measured1222Only Mistral Medium 3.5 measured
LMArena Text: English14331433Mistral Medium 3.5
LMArena Text: non-English14051404Claude Opus 4.1
LMArena Text: Chinese14271444Mistral Medium 3.5
LMArena Text: German14131453Mistral Medium 3.5
LMArena Text: Japanese1377Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Korean13811384Mistral Medium 3.5
LMArena Text: French14331448Mistral Medium 3.5
LMArena Text: Spanish14481411Claude Opus 4.1
LMArena Text: Russian14221395Claude Opus 4.1
LMArena Text: Polish14131430Mistral Medium 3.5
LMArena Text: multi-turn14441423Claude Opus 4.1
LMArena Text: longer queries14551415Claude Opus 4.1
LMArena Text: writing and language14181384Claude Opus 4.1
LMArena Text: entertainment and media13981382Claude Opus 4.1
LMArena Vision: EnglishNot measured1240Only Mistral Medium 3.5 measured
LMArena Vision: ChineseNot measured1244Only Mistral Medium 3.5 measured
LMArena Vision: reading textNot measured1233Only Mistral Medium 3.5 measured
LMArena Vision: humorNot measured1216Only Mistral Medium 3.5 measured
LMArena Vision: creative writingNot measured1198Only Mistral Medium 3.5 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 Opus 4.1 and Mistral Medium 3.5
BenchmarkClaude Opus 4.1Mistral 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 Opus 4.1$0.052Fits 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 Opus 4.1$0.975Fits 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 Opus 4.1$3.75Exceeds the context window
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 Opus 4.1 and Mistral Medium 3.5
SpecificationAnthropic Claude Opus 4.1Mistral Medium 3.5
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025April 30, 2026
Context window200K262K
Input $/Mtok$15.00$1.50
Output $/Mtok$75.00$7.50
Coding indexNot benchmarked25.5
Independent measurements behind it13
Cost per solved taskNot computable$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than Mistral Medium 3.5 for coding?

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for work measured by LMArena WebDev or LMArena Text: coding, where it leads.

Which is cheaper, Claude Opus 4.1 or Mistral Medium 3.5?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Cost per solved task is known for Mistral Medium 3.5 only.

Which has the bigger context window, Claude Opus 4.1 or Mistral Medium 3.5?

Mistral Medium 3.5, with 262K tokens against 200K.

How many benchmarks is the Claude Opus 4.1 vs Mistral Medium 3.5 comparison based on?

48 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark 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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