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MiniMax M2 vs Mistral Medium 3.1

MiniMax M2 leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 18.6 to 9.2, and MiniMax M2 costs 2.0x less per output token ($1.02 vs $2.00 per million). Updated October 22, 2026; 44 benchmarks have a result for both.

Replace MiniMax M2 Replace Mistral Medium 3.1
MiniMax M2MiniMax
Coding
No data
Overall
No data
Output $/M
$1.02
17
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
27
vs boards won of 44 shared

MiniMax M2 or Mistral Medium 3.1: which to pick

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

Pick MiniMax M2 for output tokens 2.0x cheaper ($1.02 vs $2.00 per million) and a larger context window (205K against 131K tokens).

Model AMiniMax M2MiniMaxNot benchmarked1 independent benchmark$0.702 per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
44
MiniMax M2 only
6
Mistral Medium 3.1 only
30
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
MiniMax M2 not benchmarked, Mistral Medium 3.1 not benchmarked.
Widest category
Agentic work, 46.2 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: MiniMax M2 86.8% against Mistral Medium 3.1 40.6%, 46.2 points apart on a 0 to 100 scale.
Output price
MiniMax M2 $1.02 against Mistral Medium 3.1 $2.00 per million output tokens, 2.0x apart.
Context window
MiniMax M2 takes 205K 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
CategoryMiniMax M2BarsMistral Medium 3.1Ties
Coding22
Intelligence10
Agentic work10
Reasoning23
Math22
Knowledge14
Web design61
General215
All shared boards1727
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
Coding benchmarks for MiniMax M2 and Mistral Medium 3.1
BenchmarkMiniMax M2Mistral Medium 3.1Leader
SWE-bench Verified61.0%Not measuredOnly MiniMax M2 measured
LMArena WebDev1297Not measuredOnly MiniMax M2 measured
AA Coding IndexNot measured20.5Only Mistral Medium 3.1 measured
LiveCodeBench (Vals AI)Not measured44.8%Only Mistral Medium 3.1 measured
LiveCodeBench (Artificial Analysis run)82.6%40.6%MiniMax M2
SciCodeNot measured32.4%Only Mistral Medium 3.1 measured
Terminal-Bench Hard (Artificial Analysis run)25.8%10.6%MiniMax M2
Terminal-Bench30.0%Not measuredOnly MiniMax M2 measured
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding13711433Mistral Medium 3.1
LMArena Text: software and IT13731436Mistral Medium 3.1
LMArena WebDev: HTML1306Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for MiniMax M2 and Mistral Medium 3.1
BenchmarkMiniMax M2Mistral Medium 3.1Leader
AA Intelligence Index18.69.2MiniMax M2
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for MiniMax M2 and Mistral Medium 3.1
BenchmarkMiniMax M2Mistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
τ²-Bench Telecom86.8%40.6%MiniMax M2
Vending-Bench 2$161Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index23
Reasoning benchmarks for MiniMax M2 and Mistral Medium 3.1
BenchmarkMiniMax M2Mistral Medium 3.1Leader
MMMU Pro (Vals AI)Not measured63.0%Only Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)77.7%58.8%MiniMax M2
Humanity's Last Exam (Artificial Analysis run)13.7%4.7%MiniMax M2
LMArena Text: hard prompts13571426Mistral Medium 3.1
LMArena Text: expert13381408Mistral Medium 3.1
LMArena Text: hard prompts in English13761435Mistral Medium 3.1
LMArena Vision: diagramsNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3.1 measured
Kagi LLM Benchmark57.8%Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for MiniMax M2 and Mistral Medium 3.1
BenchmarkMiniMax M2Mistral Medium 3.1Leader
AIMENot measured42.3%Only Mistral Medium 3.1 measured
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 Index78.338.3MiniMax M2
AIME 2025 (Artificial Analysis run)78.3%38.3%MiniMax M2
LMArena Text: math13511408Mistral Medium 3.1
LMArena Text: mathematical work13681412Mistral Medium 3.1
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
Knowledge benchmarks for MiniMax M2 and Mistral Medium 3.1
BenchmarkMiniMax M2Mistral Medium 3.1Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.1 measured
LegalBench (Vals AI)Not measured62.0%Only Mistral Medium 3.1 measured
CorpFin (Vals AI)Not measured50.7%Only Mistral Medium 3.1 measured
TaxEval (Vals AI)Not measured70.3%Only Mistral Medium 3.1 measured
MortgageTax (Vals AI)Not measured36.5%Only Mistral Medium 3.1 measured
MedQA (Vals AI)Not measured78.2%Only Mistral Medium 3.1 measured
MMLU Pro (Artificial Analysis run)82.0%68.3%MiniMax M2
LMArena Text: science13481444Mistral Medium 3.1
LMArena Text: medicine and healthcare13671449Mistral Medium 3.1
LMArena Text: legal and government13491439Mistral Medium 3.1
LMArena Text: business and finance13361418Mistral Medium 3.1
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index61
Web design benchmarks for MiniMax M2 and Mistral Medium 3.1
BenchmarkMiniMax M2Mistral Medium 3.1Leader
Design Arena: websites11431132MiniMax M2
Design Arena: UI components11371097MiniMax M2
Design Arena: game dev11181073MiniMax M2
Design Arena: data viz11401144Mistral Medium 3.1
Design Arena: 3D10981081MiniMax M2
Design Arena: all code categories11351120MiniMax M2
Design Arena: SVG1100992MiniMax M2
Design Arena: ASCII artNot measured997Only Mistral Medium 3.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index215
General benchmarks for MiniMax M2 and Mistral Medium 3.1
BenchmarkMiniMax M2Mistral Medium 3.1Leader
IFBench72.3%39.8%MiniMax M2
Long context reasoning (AA-LCR)64.3%42.7%MiniMax M2
DTBenchNot measured67.5%Only Mistral Medium 3.1 measured
LMCANot measured19.1%Only Mistral Medium 3.1 measured
LMArena Text13401424Mistral Medium 3.1
LMArena Text: instruction following13291398Mistral Medium 3.1
LMArena Text: creative writing12861391Mistral Medium 3.1
LMArena VisionNot measured1172Only Mistral Medium 3.1 measured
LMArena Text: English13641438Mistral Medium 3.1
LMArena Text: non-English13131408Mistral Medium 3.1
LMArena Text: Chinese13661447Mistral Medium 3.1
LMArena Text: German13571432Mistral Medium 3.1
LMArena Text: JapaneseNot measured1379Only Mistral Medium 3.1 measured
LMArena Text: KoreanNot measured1380Only Mistral Medium 3.1 measured
LMArena Text: French13361460Mistral Medium 3.1
LMArena Text: Spanish13261433Mistral Medium 3.1
LMArena Text: Russian13301411Mistral Medium 3.1
LMArena Text: Polish13121430Mistral Medium 3.1
LMArena Text: multi-turn13611418Mistral Medium 3.1
LMArena Text: longer queries13311406Mistral Medium 3.1
LMArena Text: writing and language12951395Mistral Medium 3.1
LMArena Text: entertainment and media12981390Mistral Medium 3.1
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 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for MiniMax M2 and Mistral Medium 3.1
BenchmarkMiniMax M2Mistral 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

MiniMax M2$0.0008Fits in one request
Mistral Medium 3.1$0.0014Fits in one request

MiniMax M2 costs less

Repository review

50K input + 3K output tokens

MiniMax M2$0.016Fits in one request
Mistral Medium 3.1$0.026Fits in one request

MiniMax M2 costs less

Agent loop

200K input + 10K output tokens

MiniMax M2$0.061Exceeds the context window
Mistral Medium 3.1$0.100Exceeds the context window

MiniMax M2 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 MiniMax M2 and Mistral Medium 3.1
SpecificationMiniMax M2Mistral Medium 3.1
MakerMiniMaxMistral AI
WeightsOpen weightsNo public weights listed
ReleasedOctober 23, 2025August 13, 2025
Context window205K131K
Input $/Mtok$0.255$0.40
Output $/Mtok$1.02$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$0.702Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M2 better than Mistral Medium 3.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick MiniMax M2 for output tokens 2.0x cheaper ($1.02 vs $2.00 per million) and a larger context window (205K against 131K tokens).

Which is cheaper, MiniMax M2 or Mistral Medium 3.1?

MiniMax M2 costs $0.255 per million input tokens and $1.02 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for MiniMax M2 only.

Which has the bigger context window, MiniMax M2 or Mistral Medium 3.1?

MiniMax M2, with 205K tokens against 131K.

How many benchmarks is the MiniMax M2 vs Mistral Medium 3.1 comparison based on?

44 benchmarks have a result for both models as of October 22, 2026. MiniMax M2'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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