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MiniMax M2.7 vs Mistral Medium 3

MiniMax M2.7 leads Mistral Medium 3 on the Artificial Analysis Intelligence Index, 22.8 to 9.0, and MiniMax M2.7 costs 1.7x less per output token ($1.20 vs $2.00 per million). Updated October 22, 2026; 42 benchmarks have a result for both.

Replace MiniMax M2.7 Replace Mistral Medium 3
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
41
Mistral Medium 3Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
1
vs boards won of 42 shared

MiniMax M2.7 or Mistral Medium 3: which to pick

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; Mistral Medium 3 has none, so the two cannot be ranked on coding.

Pick Mistral Medium 3 for work measured by LMArena Text: Japanese, where it leads.

Model AMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved taskModel BMistral Medium 3Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
42
MiniMax M2.7 only
32
Mistral Medium 3 only
15
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 M2.7 36.2 from 3 benchmarks, Mistral Medium 3 not benchmarked.
Widest category
Agentic work, 60.5 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: MiniMax M2.7 84.8% against Mistral Medium 3 24.3%, 60.5 points apart on a 0 to 100 scale.
Output price
MiniMax M2.7 $1.20 against Mistral Medium 3 $2.00 per million output tokens, 1.7x apart.
Context window
MiniMax M2.7 takes 205K tokens, Mistral Medium 3 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 M2.7BarsMistral Medium 3Ties
Coding30
Intelligence20
Agentic work10
Reasoning50
Math20
Knowledge40
Web design60
General181
All shared boards411
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for MiniMax M2.7 and Mistral Medium 3
BenchmarkMiniMax M2.7Mistral Medium 3Leader
LMArena WebDev1399Not measuredOnly MiniMax M2.7 measured
AA Coding Index52.6Not measuredOnly MiniMax M2.7 measured
LiveCodeBench (Vals AI)79.9%Not measuredOnly MiniMax M2.7 measured
SWE-bench Verified (Vals AI)73.8%Not measuredOnly MiniMax M2.7 measured
Vibe Code Bench (Vals AI)11.9%Not measuredOnly MiniMax M2.7 measured
Code migration (Vals AI)8.7%Not measuredOnly MiniMax M2.7 measured
ProgramBench (Vals AI)0.0%Not measuredOnly MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)48.7%Not measuredOnly MiniMax M2.7 measured
LiveCodeBench (Artificial Analysis run)Not measured40.0%Only Mistral Medium 3 measured
SciCode50.1%Not measuredOnly MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)39.4%3.8%MiniMax M2.7
Terminal-Bench45.1%Not measuredOnly MiniMax M2.7 measured
WeirdML37.0%Not measuredOnly MiniMax M2.7 measured
ALE-Bench599.3Not measuredOnly MiniMax M2.7 measured
LMArena Text: coding14541385MiniMax M2.7
LMArena Text: software and IT14461385MiniMax M2.7
LMArena WebDev: React1388Not measuredOnly MiniMax M2.7 measured
LMArena WebDev: HTML1401Not measuredOnly MiniMax M2.7 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 MiniMax M2.7 and Mistral Medium 3
BenchmarkMiniMax M2.7Mistral Medium 3Leader
AA Intelligence Index22.89.0MiniMax M2.7
Epoch Capabilities Index145.8134.0MiniMax M2.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for MiniMax M2.7 and Mistral Medium 3
BenchmarkMiniMax M2.7Mistral Medium 3Leader
AA Agentic Index15.3Not measuredOnly MiniMax M2.7 measured
Finance Agent (Vals AI)27.9%Not measuredOnly MiniMax M2.7 measured
Tax Agent Bench (Vals AI)6.9%Not measuredOnly MiniMax M2.7 measured
Legal Research Bench (Vals AI)10.6%Not measuredOnly MiniMax M2.7 measured
Excel Modeling Benchmark (Vals AI)28.4%Not measuredOnly MiniMax M2.7 measured
τ²-Bench Telecom84.8%24.3%MiniMax M2.7
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for MiniMax M2.7 and Mistral Medium 3
BenchmarkMiniMax M2.7Mistral Medium 3Leader
GPQA Diamond86.6%Not measuredOnly MiniMax M2.7 measured
GPQA Diamond (Artificial Analysis run)87.4%57.8%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)29.6%4.1%MiniMax M2.7
LMArena Text: hard prompts14221364MiniMax M2.7
LMArena Text: expert14431342MiniMax M2.7
LMArena Text: hard prompts in English14411374MiniMax M2.7
LMArena Vision: diagramsNot measured1155Only Mistral Medium 3 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3 measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for MiniMax M2.7 and Mistral Medium 3
BenchmarkMiniMax M2.7Mistral Medium 3Leader
AIME91.0%Not measuredOnly MiniMax M2.7 measured
AA Math IndexNot measured30.3Only Mistral Medium 3 measured
AIME 2025 (Artificial Analysis run)Not measured30.3%Only Mistral Medium 3 measured
ProofBench3.0%Not measuredOnly MiniMax M2.7 measured
LMArena Text: math14211353MiniMax M2.7
LMArena Text: mathematical work14371354MiniMax M2.7
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for MiniMax M2.7 and Mistral Medium 3
BenchmarkMiniMax M2.7Mistral Medium 3Leader
MMLU Pro80.4%Not measuredOnly MiniMax M2.7 measured
LegalBench (Vals AI)84.0%Not measuredOnly MiniMax M2.7 measured
CaseLaw (Vals AI)60.9%Not measuredOnly MiniMax M2.7 measured
CorpFin (Vals AI)61.2%Not measuredOnly MiniMax M2.7 measured
TaxEval (Vals AI)66.6%Not measuredOnly MiniMax M2.7 measured
MedCode (Vals AI)34.4%Not measuredOnly MiniMax M2.7 measured
MMLU Pro (Artificial Analysis run)Not measured76.0%Only Mistral Medium 3 measured
LMArena Text: science14161381MiniMax M2.7
LMArena Text: medicine and healthcare14091381MiniMax M2.7
LMArena Text: legal and government14031384MiniMax M2.7
LMArena Text: business and finance14071352MiniMax M2.7
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for MiniMax M2.7 and Mistral Medium 3
BenchmarkMiniMax M2.7Mistral Medium 3Leader
Design Arena: websites12431079MiniMax M2.7
Design Arena: UI components12101022MiniMax M2.7
Design Arena: game dev12091017MiniMax M2.7
Design Arena: data viz12331034MiniMax M2.7
Design Arena: 3D11951083MiniMax M2.7
Design Arena: all code categories12331068MiniMax M2.7
Design Arena: SVG1137Not measuredOnly MiniMax M2.7 measured
Design Arena: ASCII art1136Not measuredOnly MiniMax M2.7 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index181
General benchmarks for MiniMax M2.7 and Mistral Medium 3
BenchmarkMiniMax M2.7Mistral Medium 3Leader
MedScribe (Vals AI)79.9%Not measuredOnly MiniMax M2.7 measured
IFBench75.7%39.3%MiniMax M2.7
Long context reasoning (AA-LCR)78.3%31.3%MiniMax M2.7
DTBenchNot measured62.3%Only Mistral Medium 3 measured
ExploitBench13.3%Not measuredOnly MiniMax M2.7 measured
LMArena Text14051370MiniMax M2.7
LMArena Text: instruction following14051338MiniMax M2.7
LMArena Text: creative writing13541343MiniMax M2.7
LMArena VisionNot measured1157Only Mistral Medium 3 measured
LMArena Text: English14261385MiniMax M2.7
LMArena Text: non-English13821353MiniMax M2.7
LMArena Text: Chinese14421374MiniMax M2.7
LMArena Text: German13981377MiniMax M2.7
LMArena Text: Japanese12601316Mistral Medium 3
LMArena Text: Korean13141304MiniMax M2.7
LMArena Text: French14241368MiniMax M2.7
LMArena Text: Spanish14021364MiniMax M2.7
LMArena Text: Russian13831359MiniMax M2.7
LMArena Text: Polish13871371MiniMax M2.7
LMArena Text: multi-turn14121384MiniMax M2.7
LMArena Text: longer queries14181360MiniMax M2.7
LMArena Text: writing and language13761352MiniMax M2.7
LMArena Text: entertainment and media13601335MiniMax M2.7
LMArena Vision: EnglishNot measured1172Only Mistral Medium 3 measured
LMArena Vision: ChineseNot measured1161Only Mistral Medium 3 measured
LMArena Vision: reading textNot measured1154Only Mistral Medium 3 measured
LMArena Vision: humorNot measured1145Only Mistral Medium 3 measured
LMArena Vision: captioningNot measured1094Only Mistral Medium 3 measured
LMArena Vision: recognizing thingsNot measured1141Only Mistral Medium 3 measured
LMArena Vision: creative writingNot measured1146Only Mistral Medium 3 measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for MiniMax M2.7 and Mistral Medium 3
BenchmarkMiniMax M2.7Mistral Medium 3Leader
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 M2.7$0.0009Fits in one request
Mistral Medium 3$0.0014Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

MiniMax M2.7$0.019Fits in one request
Mistral Medium 3$0.026Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

MiniMax M2.7$0.072Exceeds the context window
Mistral Medium 3$0.100Exceeds the context window

MiniMax M2.7 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 M2.7 and Mistral Medium 3
SpecificationMiniMax M2.7Mistral Medium 3
MakerMiniMaxMistral AI
WeightsOpen weightsNo public weights listed
ReleasedMarch 18, 2026May 7, 2025
Context window205K131K
Input $/Mtok$0.30$0.40
Output $/Mtok$1.20$2.00
Coding index36.2Not benchmarked
Independent measurements behind it30
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M2.7 better than Mistral Medium 3 for coding?

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; Mistral Medium 3 has none, so the two cannot be ranked on coding. Pick Mistral Medium 3 for work measured by LMArena Text: Japanese, where it leads.

Which is cheaper, MiniMax M2.7 or Mistral Medium 3?

MiniMax M2.7 costs $0.30 per million input tokens and $1.20 per million output tokens; Mistral Medium 3 costs $0.40 and $2.00. Cost per solved task is known for MiniMax M2.7 only.

Which has the bigger context window, MiniMax M2.7 or Mistral Medium 3?

MiniMax M2.7, with 205K tokens against 131K.

How many benchmarks is the MiniMax M2.7 vs Mistral Medium 3 comparison based on?

42 benchmarks have a result for both models as of October 22, 2026. MiniMax M2.7's coding index rests on 3 independent benchmarks and Mistral Medium 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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