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MiniMax M2.5 vs Mistral Small 3.1 24B

Mistral Small 3.1 24B costs 2.2x less per output token than MiniMax M2.5 ($0.555 vs $1.20 per million). Updated October 22, 2026; 28 benchmarks have a result for both.

Replace MiniMax M2.5 Replace Mistral Small 3.1 24B
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
27
Mistral Small 3.1 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.555
1
vs boards won of 28 shared

MiniMax M2.5 or Mistral Small 3.1 24B: which to pick

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; Mistral Small 3.1 24B has none, so the two cannot be ranked on coding.

Pick Mistral Small 3.1 24B for output tokens 2.2x cheaper ($0.555 vs $1.20 per million) and work measured by LMArena Text: Japanese, where it leads.

Model AMiniMax M2.5MiniMax37.2/1003 independent benchmarks$0.62 per solved taskModel BMistral Small 3.1 24BMistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
28
MiniMax M2.5 only
43
Mistral Small 3.1 24B only
10
Like-for-like categories
5 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 M2.5 37.2 from 3 benchmarks, Mistral Small 3.1 24B not benchmarked.
Widest category
Math, 18.6 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: Chinese: MiniMax M2.5 1393 against Mistral Small 3.1 24B 1253, 23.4 points apart on a 0 to 100 scale.
Output price
MiniMax M2.5 $1.20 against Mistral Small 3.1 24B $0.555 per million output tokens, 2.2x apart.
Context window
MiniMax M2.5 takes 205K tokens, Mistral Small 3.1 24B 128K.

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 M2.5BarsMistral Small 3.1 24BTies
Coding20
Reasoning30
Math20
Knowledge40
General161
All shared boards271
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for MiniMax M2.5 and Mistral Small 3.1 24B
BenchmarkMiniMax M2.5Mistral Small 3.1 24BLeader
SWE-bench Verified75.8%Not measuredOnly MiniMax M2.5 measured
SWE-bench Multilingual68.3%Not measuredOnly MiniMax M2.5 measured
LMArena WebDev1386Not measuredOnly MiniMax M2.5 measured
LiveCodeBench (Vals AI)79.2%Not measuredOnly MiniMax M2.5 measured
SWE-bench Verified (Vals AI)74.2%Not measuredOnly MiniMax M2.5 measured
Vibe Code Bench (Vals AI)14.8%Not measuredOnly MiniMax M2.5 measured
Terminal-Bench Hard (Artificial Analysis run)34.8%Not measuredOnly MiniMax M2.5 measured
Terminal-Bench42.7%Not measuredOnly MiniMax M2.5 measured
ALE-Bench618.2Not measuredOnly MiniMax M2.5 measured
LMArena Text: coding13801309MiniMax M2.5
LMArena Text: software and IT13831301MiniMax M2.5
LMArena WebDev: React1374Not measuredOnly MiniMax M2.5 measured
LMArena WebDev: HTML1414Not measuredOnly MiniMax M2.5 measured
SWE Atlas: Codebase QnA10.3%Not measuredOnly MiniMax M2.5 measured
SWE Atlas: Refactoring19.5%Not measuredOnly MiniMax M2.5 measured
SWE Atlas: Test Writing18.6%Not measuredOnly MiniMax M2.5 measured
Neither model has a result on the other 27 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for MiniMax M2.5 and Mistral Small 3.1 24B
BenchmarkMiniMax M2.5Mistral Small 3.1 24BLeader
AA Intelligence Index22.8Not measuredOnly MiniMax M2.5 measured
Epoch Capabilities Index146.6Not measuredOnly MiniMax M2.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for MiniMax M2.5 and Mistral Small 3.1 24B
BenchmarkMiniMax M2.5Mistral Small 3.1 24BLeader
τ²-Bench Telecom95.3%Not measuredOnly MiniMax M2.5 measured
Vending-Bench 2-$23Not measuredOnly MiniMax M2.5 measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for MiniMax M2.5 and Mistral Small 3.1 24B
BenchmarkMiniMax M2.5Mistral Small 3.1 24BLeader
GPQA Diamond82.1%Not measuredOnly MiniMax M2.5 measured
GPQA Diamond (Artificial Analysis run)84.8%Not measuredOnly MiniMax M2.5 measured
Humanity's Last Exam (Artificial Analysis run)20.5%Not measuredOnly MiniMax M2.5 measured
ARC-AGI63.7%Not measuredOnly MiniMax M2.5 measured
ARC-AGI-24.9%Not measuredOnly MiniMax M2.5 measured
LMArena Text: hard prompts13721278MiniMax M2.5
LMArena Text: expert13781257MiniMax M2.5
LMArena Text: hard prompts in English13841290MiniMax M2.5
LMArena Vision: diagramsNot measured1119Only Mistral Small 3.1 24B measured
LMArena Vision: homeworkNot measured1158Only Mistral Small 3.1 24B measured
Kagi LLM Benchmark55.2%Not measuredOnly MiniMax M2.5 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for MiniMax M2.5 and Mistral Small 3.1 24B
BenchmarkMiniMax M2.5Mistral Small 3.1 24BLeader
AIME88.8%Not measuredOnly MiniMax M2.5 measured
ProofBench4.0%Not measuredOnly MiniMax M2.5 measured
LMArena Text: math13781261MiniMax M2.5
LMArena Text: mathematical work13781271MiniMax M2.5
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for MiniMax M2.5 and Mistral Small 3.1 24B
BenchmarkMiniMax M2.5Mistral Small 3.1 24BLeader
MMLU Pro80.1%Not measuredOnly MiniMax M2.5 measured
LegalBench (Vals AI)80.0%Not measuredOnly MiniMax M2.5 measured
CaseLaw (Vals AI)53.5%Not measuredOnly MiniMax M2.5 measured
CorpFin (Vals AI)59.6%Not measuredOnly MiniMax M2.5 measured
TaxEval (Vals AI)68.2%Not measuredOnly MiniMax M2.5 measured
MedQA (Vals AI)92.5%Not measuredOnly MiniMax M2.5 measured
LMArena Text: science13691265MiniMax M2.5
LMArena Text: medicine and healthcare13571267MiniMax M2.5
LMArena Text: legal and government13661271MiniMax M2.5
LMArena Text: business and finance13561257MiniMax M2.5
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for MiniMax M2.5 and Mistral Small 3.1 24B
BenchmarkMiniMax M2.5Mistral Small 3.1 24BLeader
Design Arena: websites1222Not measuredOnly MiniMax M2.5 measured
Design Arena: UI components1170Not measuredOnly MiniMax M2.5 measured
Design Arena: game dev1176Not measuredOnly MiniMax M2.5 measured
Design Arena: data viz1172Not measuredOnly MiniMax M2.5 measured
Design Arena: 3D1170Not measuredOnly MiniMax M2.5 measured
Design Arena: all code categories1207Not measuredOnly MiniMax M2.5 measured
Design Arena: SVG1150Not measuredOnly MiniMax M2.5 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index161
General benchmarks for MiniMax M2.5 and Mistral Small 3.1 24B
BenchmarkMiniMax M2.5Mistral Small 3.1 24BLeader
IFBench71.6%Not measuredOnly MiniMax M2.5 measured
Long context reasoning (AA-LCR)73.3%Not measuredOnly MiniMax M2.5 measured
CL-bench11.4%Not measuredOnly MiniMax M2.5 measured
CL-bench Life6.3%Not measuredOnly MiniMax M2.5 measured
LMArena Text13591277MiniMax M2.5
LMArena Text: instruction following13531263MiniMax M2.5
LMArena Text: creative writing13311252MiniMax M2.5
LMArena VisionNot measured1136Only Mistral Small 3.1 24B measured
LMArena Text: English13801295MiniMax M2.5
LMArena Text: non-English13381255MiniMax M2.5
LMArena Text: Chinese13931253MiniMax M2.5
LMArena Text: German13611266MiniMax M2.5
LMArena Text: Japanese11711208Mistral Small 3.1 24B
LMArena Text: Korean12331207MiniMax M2.5
LMArena Text: French13631273MiniMax M2.5
LMArena Text: Spanish13531284MiniMax M2.5
LMArena Text: Russian13591263MiniMax M2.5
LMArena Text: Polish13341242MiniMax M2.5
LMArena Text: multi-turn13641270MiniMax M2.5
LMArena Text: longer queries13661299MiniMax M2.5
LMArena Text: writing and language13451268MiniMax M2.5
LMArena Text: entertainment and media13291250MiniMax M2.5
LMArena Vision: EnglishNot measured1157Only Mistral Small 3.1 24B measured
LMArena Vision: ChineseNot measured1155Only Mistral Small 3.1 24B measured
LMArena Vision: reading textNot measured1132Only Mistral Small 3.1 24B measured
LMArena Vision: humorNot measured1142Only Mistral Small 3.1 24B measured
LMArena Vision: captioningNot measured1153Only Mistral Small 3.1 24B measured
LMArena Vision: recognizing thingsNot measured1155Only Mistral Small 3.1 24B measured
LMArena Vision: creative writingNot measured1123Only Mistral Small 3.1 24B measured
Neither model has a result on the other 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for MiniMax M2.5 and Mistral Small 3.1 24B
BenchmarkMiniMax M2.5Mistral Small 3.1 24BLeader
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 M2.5$0.0009Fits in one request
Mistral Small 3.1 24B$0.0006Fits in one request

Mistral Small 3.1 24B costs less

Repository review

50K input + 3K output tokens

MiniMax M2.5$0.019Fits in one request
Mistral Small 3.1 24B$0.019Fits in one request

MiniMax M2.5 costs less

Agent loop

200K input + 10K output tokens

MiniMax M2.5$0.072Exceeds the context window
Mistral Small 3.1 24B$0.076Exceeds the context window

MiniMax M2.5 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 MiniMax M2.5 and Mistral Small 3.1 24B
SpecificationMiniMax M2.5Mistral Small 3.1 24B
MakerMiniMaxMistral AI
WeightsOpen weightsOpen weights
ReleasedFebruary 12, 2026March 17, 2025
Context window205K128K
Input $/Mtok$0.30$0.351
Output $/Mtok$1.20$0.555
Coding index37.2Not benchmarked
Independent measurements behind it30
Cost per solved task$0.62Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M2.5 better than Mistral Small 3.1 24B for coding?

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; Mistral Small 3.1 24B has none, so the two cannot be ranked on coding. Pick Mistral Small 3.1 24B for output tokens 2.2x cheaper ($0.555 vs $1.20 per million) and work measured by LMArena Text: Japanese, where it leads.

Which is cheaper, MiniMax M2.5 or Mistral Small 3.1 24B?

MiniMax M2.5 costs $0.30 per million input tokens and $1.20 per million output tokens; Mistral Small 3.1 24B costs $0.351 and $0.555. Cost per solved task is known for MiniMax M2.5 only.

Which has the bigger context window, MiniMax M2.5 or Mistral Small 3.1 24B?

MiniMax M2.5, with 205K tokens against 128K.

How many benchmarks is the MiniMax M2.5 vs Mistral Small 3.1 24B comparison based on?

28 benchmarks have a result for both models as of October 22, 2026. MiniMax M2.5's coding index rests on 3 independent benchmarks and Mistral Small 3.1 24B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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