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Mistral Small 3.1 24B vs o4 Mini

Mistral Small 3.1 24B costs 7.9x less per output token than o4 Mini ($0.555 vs $4.40 per million). Updated October 21, 2026; 38 benchmarks have a result for both.

Replace Mistral Small 3.1 24B Replace o4 Mini
Mistral Small 3.1 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.555
0
o4 MiniOpenAI
Coding
No data
Overall
43.0
Output $/M
$4.40
38
vs boards won of 38 shared

Mistral Small 3.1 24B or o4 Mini: which to pick

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

Pick Mistral Small 3.1 24B for output tokens 7.9x cheaper ($0.555 vs $4.40 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AMistral Small 3.1 24BMistral AINot benchmarkedNo coding benchmarkNo cost per solved taskModel Bo4 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
38
Mistral Small 3.1 24B only
0
o4 Mini only
60
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
Mistral Small 3.1 24B not benchmarked, o4 Mini not benchmarked.
Widest category
Math, 19.7 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: math: Mistral Small 3.1 24B 1261 against o4 Mini 1389, 21.4 points apart on a 0 to 100 scale.
Output price
Mistral Small 3.1 24B $0.555 against o4 Mini $4.40 per million output tokens, 7.9x apart.
Context window
Mistral Small 3.1 24B takes 128K tokens, o4 Mini 200K.

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
CategoryMistral Small 3.1 24BBarso4 MiniTies
Coding02
Reasoning05
Math02
Knowledge04
General025
All shared boards038
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Mistral Small 3.1 24B and o4 Mini
BenchmarkMistral Small 3.1 24Bo4 MiniLeader
Aider polyglotNot measured72.0%Only o4 Mini measured
SWE-bench VerifiedNot measured64.6%Only o4 Mini measured
SWE-bench MultimodalNot measured33.9%Only o4 Mini measured
LiveCodeBench (Vals AI)Not measured82.2%Only o4 Mini measured
LiveCodeBench (Artificial Analysis run)Not measured85.9%Only o4 Mini measured
Terminal-Bench Hard (Artificial Analysis run)Not measured15.2%Only o4 Mini measured
GSO-BenchNot measured3.6%Only o4 Mini measured
WeirdMLNot measured52.6%Only o4 Mini measured
LMArena Text: coding13091368o4 Mini
LMArena Text: software and IT13011367o4 Mini
SciCodeNot measured10.8%Only o4 Mini measured
Neither model has a result on the other 28 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Mistral Small 3.1 24B and o4 Mini
BenchmarkMistral Small 3.1 24Bo4 MiniLeader
AA Intelligence IndexNot measured16.7Only o4 Mini measured
Epoch Capabilities IndexNot measured145.5Only o4 Mini measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for Mistral Small 3.1 24B and o4 Mini
BenchmarkMistral Small 3.1 24Bo4 MiniLeader
τ²-Bench TelecomNot measured55.6%Only o4 Mini measured
METR time horizonsNot measured63.9%Only o4 Mini measured
Berkeley Function Calling Leaderboard (BFCL)Not measured53.2%Only o4 Mini measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Mistral Small 3.1 24B and o4 Mini
BenchmarkMistral Small 3.1 24Bo4 MiniLeader
GPQA DiamondNot measured74.5%Only o4 Mini measured
MMMU Pro (Vals AI)Not measured79.7%Only o4 Mini measured
GPQA Diamond (Artificial Analysis run)Not measured78.4%Only o4 Mini measured
Humanity's Last Exam (Artificial Analysis run)Not measured16.5%Only o4 Mini measured
GPQA Diamond (Epoch AI run)Not measured79.6%Only o4 Mini measured
ARC-AGINot measured58.7%Only o4 Mini measured
ARC-AGI-2Not measured6.1%Only o4 Mini measured
SimpleBenchNot measured38.7%Only o4 Mini measured
Chess puzzlesNot measured22.0%Only o4 Mini measured
Mystery game puzzlesNot measured5.0%Only o4 Mini measured
VPCTNot measured57.5%Only o4 Mini measured
LMArena Text: hard prompts12781351o4 Mini
LMArena Text: expert12571343o4 Mini
LMArena Text: hard prompts in English12901366o4 Mini
LMArena Vision: diagrams11191197o4 Mini
LMArena Vision: homework11581234o4 Mini
Kagi LLM BenchmarkNot measured67.6%Only o4 Mini measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Mistral Small 3.1 24B and o4 Mini
BenchmarkMistral Small 3.1 24Bo4 MiniLeader
AIMENot measured83.7%Only o4 Mini measured
MATH 500 (Vals AI)Not measured94.2%Only o4 Mini measured
MGSM (Vals AI)Not measured93.4%Only o4 Mini measured
AA Math IndexNot measured90.7Only o4 Mini measured
AIME 2025 (Artificial Analysis run)Not measured90.7%Only o4 Mini measured
OTIS Mock AIMENot measured81.7%Only o4 Mini measured
FrontierMath, tiers 1 to 3Not measured36.1%Only o4 Mini measured
FrontierMath, tier 4Not measured4.9%Only o4 Mini measured
MATH level 5Not measured97.8%Only o4 Mini measured
LMArena Text: math12611389o4 Mini
LMArena Text: mathematical work12711379o4 Mini
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Mistral Small 3.1 24B and o4 Mini
BenchmarkMistral Small 3.1 24Bo4 MiniLeader
MMLU ProNot measured80.6%Only o4 Mini measured
LegalBench (Vals AI)Not measured79.2%Only o4 Mini measured
CorpFin (Vals AI)Not measured59.0%Only o4 Mini measured
TaxEval (Vals AI)Not measured74.8%Only o4 Mini measured
MortgageTax (Vals AI)Not measured64.8%Only o4 Mini measured
MedQA (Vals AI)Not measured96.0%Only o4 Mini measured
MedCode (Vals AI)Not measured33.8%Only o4 Mini measured
MMLU Pro (Artificial Analysis run)Not measured83.2%Only o4 Mini measured
SimpleQA VerifiedNot measured19.6%Only o4 Mini measured
GeoBenchNot measured64.0%Only o4 Mini measured
LMArena Text: science12651354o4 Mini
LMArena Text: medicine and healthcare12671361o4 Mini
LMArena Text: legal and government12711350o4 Mini
LMArena Text: business and finance12571325o4 Mini
FACTS Benchmark SuiteNot measured28.1%Only o4 Mini measured
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Mistral Small 3.1 24B and o4 Mini
BenchmarkMistral Small 3.1 24Bo4 MiniLeader
Design Arena: websitesNot measured985Only o4 Mini measured
Design Arena: UI componentsNot measured983Only o4 Mini measured
Design Arena: game devNot measured1003Only o4 Mini measured
Design Arena: data vizNot measured990Only o4 Mini measured
Design Arena: 3DNot measured854Only o4 Mini measured
Design Arena: all code categoriesNot measured976Only o4 Mini measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index025
General benchmarks for Mistral Small 3.1 24B and o4 Mini
BenchmarkMistral Small 3.1 24Bo4 MiniLeader
SAGE (Vals AI)Not measured41.1%Only o4 Mini measured
MedScribe (Vals AI)Not measured69.1%Only o4 Mini measured
IFBenchNot measured68.7%Only o4 Mini measured
Long context reasoning (AA-LCR)Not measured61.0%Only o4 Mini measured
DTBenchNot measured77.6%Only o4 Mini measured
LMCANot measured26.5%Only o4 Mini measured
Fiction.LiveBenchNot measured77.8%Only o4 Mini measured
Creative writing (Lech Mazur)Not measured75.0%Only o4 Mini measured
LMArena Text12771353o4 Mini
LMArena Text: instruction following12631320o4 Mini
LMArena Text: creative writing12521294o4 Mini
LMArena Vision11361194o4 Mini
LMArena Text: English12951367o4 Mini
LMArena Text: non-English12551337o4 Mini
LMArena Text: Chinese12531354o4 Mini
LMArena Text: German12661336o4 Mini
LMArena Text: Japanese12081308o4 Mini
LMArena Text: Korean12071312o4 Mini
LMArena Text: French12731364o4 Mini
LMArena Text: Spanish12841346o4 Mini
LMArena Text: Russian12631334o4 Mini
LMArena Text: Polish12421358o4 Mini
LMArena Text: multi-turn12701350o4 Mini
LMArena Text: longer queries12991315o4 Mini
LMArena Text: writing and language12681316o4 Mini
LMArena Text: entertainment and media12501308o4 Mini
LMArena Vision: English11571200o4 Mini
LMArena Vision: Chinese11551218o4 Mini
LMArena Vision: reading text11321197o4 Mini
LMArena Vision: humor11421199o4 Mini
LMArena Vision: captioning11531204o4 Mini
LMArena Vision: recognizing things11551218o4 Mini
LMArena Vision: creative writing11231166o4 Mini
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Mistral Small 3.1 24B and o4 Mini
BenchmarkMistral Small 3.1 24Bo4 MiniLeader
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

Mistral Small 3.1 24B$0.0006Fits in one request
o4 Mini$0.0033Fits in one request

Mistral Small 3.1 24B costs less

Repository review

50K input + 3K output tokens

Mistral Small 3.1 24B$0.019Fits in one request
o4 Mini$0.068Fits in one request

Mistral Small 3.1 24B costs less

Agent loop

200K input + 10K output tokens

Mistral Small 3.1 24B$0.076Exceeds the context window
o4 Mini$0.264Exceeds the context window

Mistral Small 3.1 24B 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 Mistral Small 3.1 24B and o4 Mini
SpecificationMistral Small 3.1 24BOpenAI o4 Mini
MakerMistral AIOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMarch 17, 2025April 16, 2025
Context window128K200K
Input $/Mtok$0.351$1.10
Output $/Mtok$0.555$4.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Small 3.1 24B better than o4 Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Small 3.1 24B for output tokens 7.9x cheaper ($0.555 vs $4.40 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Mistral Small 3.1 24B or o4 Mini?

Mistral Small 3.1 24B costs $0.351 per million input tokens and $0.555 per million output tokens; o4 Mini costs $1.10 and $4.40. Cost per solved task is known for neither of them.

Which has the bigger context window, Mistral Small 3.1 24B or o4 Mini?

o4 Mini, with 200K tokens against 128K.

How many benchmarks is the Mistral Small 3.1 24B vs o4 Mini comparison based on?

38 benchmarks have a result for both models as of October 21, 2026. Mistral Small 3.1 24B's coding index rests on 0 independent benchmarks and o4 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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