Enter opens the highlighted result. Esc closes.

Mistral Small 3.1 24B vs o1

Mistral Small 3.1 24B costs 108.1x less per output token than o1 ($0.555 vs $60.00 per million). Updated October 21, 2026; 30 benchmarks have a result for both.

Replace Mistral Small 3.1 24B Replace o1
Mistral Small 3.1 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.555
0
o1OpenAI
Coding
No data
Overall
15.2
Output $/M
$60.00
30
vs boards won of 30 shared

Mistral Small 3.1 24B or o1: 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 108.1x cheaper ($0.555 vs $60.00 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 Bo1OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
30
Mistral Small 3.1 24B only
8
o1 only
38
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, o1 not benchmarked.
Widest category
Math, 20.5 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: Korean: Mistral Small 3.1 24B 1207 against o1 1396, 31.6 points apart on a 0 to 100 scale.
Output price
Mistral Small 3.1 24B $0.555 against o1 $60.00 per million output tokens, 108.1x apart.
Context window
Mistral Small 3.1 24B takes 128K tokens, o1 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 24BBarso1Ties
Coding02
Reasoning03
Math02
Knowledge04
General019
All shared boards030
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Mistral Small 3.1 24B and o1
BenchmarkMistral Small 3.1 24Bo1Leader
Aider polyglotNot measured61.7%Only o1 measured
AA Coding IndexNot measured39.7Only o1 measured
LiveCodeBench (Vals AI)Not measured50.3%Only o1 measured
LiveCodeBench (Artificial Analysis run)Not measured67.9%Only o1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured12.9%Only o1 measured
WeirdMLNot measured46.1%Only o1 measured
LMArena Text: coding13091367o1
LMArena Text: software and IT13011366o1
Neither model has a result on the other 30 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 o1
BenchmarkMistral Small 3.1 24Bo1Leader
AA Intelligence IndexNot measured15.2Only o1 measured
Epoch Capabilities IndexNot measured141.7Only o1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Mistral Small 3.1 24B and o1
BenchmarkMistral Small 3.1 24Bo1Leader
τ²-Bench TelecomNot measured62.6%Only o1 measured
METR time horizonsNot measured51.1%Only o1 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Mistral Small 3.1 24B and o1
BenchmarkMistral Small 3.1 24Bo1Leader
GPQA DiamondNot measured73.2%Only o1 measured
MMMU Pro (Vals AI)Not measured77.4%Only o1 measured
GPQA Diamond (Artificial Analysis run)Not measured74.7%Only o1 measured
Humanity's Last Exam (Artificial Analysis run)Not measured7.0%Only o1 measured
GPQA Diamond (Epoch AI run)Not measured76.8%Only o1 measured
ARC-AGINot measured30.7%Only o1 measured
SimpleBenchNot measured40.1%Only o1 measured
Chess puzzlesNot measured10.0%Only o1 measured
VPCTNot measured37.0%Only o1 measured
LMArena Text: hard prompts12781371o1
LMArena Text: expert12571361o1
LMArena Text: hard prompts in English12901372o1
LMArena Vision: diagrams1119Not measuredOnly Mistral Small 3.1 24B measured
LMArena Vision: homework1158Not measuredOnly Mistral Small 3.1 24B 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 Mistral Small 3.1 24B and o1
BenchmarkMistral Small 3.1 24Bo1Leader
AIMENot measured71.5%Only o1 measured
MATH 500 (Vals AI)Not measured90.4%Only o1 measured
MGSM (Vals AI)Not measured89.3%Only o1 measured
OTIS Mock AIMENot measured73.3%Only o1 measured
FrontierMath, tiers 1 to 3Not measured14.7%Only o1 measured
MATH level 5Not measured94.7%Only o1 measured
LMArena Text: math12611388o1
LMArena Text: mathematical work12711390o1
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Mistral Small 3.1 24B and o1
BenchmarkMistral Small 3.1 24Bo1Leader
MMLU ProNot measured83.5%Only o1 measured
LegalBench (Vals AI)Not measured80.4%Only o1 measured
TaxEval (Vals AI)Not measured74.3%Only o1 measured
MedQA (Vals AI)Not measured96.5%Only o1 measured
MMLU Pro (Artificial Analysis run)Not measured84.1%Only o1 measured
SimpleQA VerifiedNot measured41.1%Only o1 measured
GeoBenchNot measured80.0%Only o1 measured
LMArena Text: science12651369o1
LMArena Text: medicine and healthcare12671355o1
LMArena Text: legal and government12711368o1
LMArena Text: business and finance12571328o1
Neither model has a result on the other 6 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Mistral Small 3.1 24B and o1
BenchmarkMistral Small 3.1 24Bo1Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for Mistral Small 3.1 24B and o1
BenchmarkMistral Small 3.1 24Bo1Leader
IFBenchNot measured70.3%Only o1 measured
Long context reasoning (AA-LCR)Not measured65.0%Only o1 measured
DTBenchNot measured74.7%Only o1 measured
LMCANot measured22.3%Only o1 measured
Fiction.LiveBenchNot measured83.3%Only o1 measured
Creative writing (Lech Mazur)Not measured70.2%Only o1 measured
LMArena Text12771366o1
LMArena Text: instruction following12631367o1
LMArena Text: creative writing12521347o1
LMArena Vision11361168o1
LMArena Text: English12951372o1
LMArena Text: non-English12551358o1
LMArena Text: Chinese12531394o1
LMArena Text: German12661337o1
LMArena Text: Japanese12081346o1
LMArena Text: Korean12071396o1
LMArena Text: French12731344o1
LMArena Text: Spanish12841345o1
LMArena Text: Russian12631356o1
LMArena Text: Polish1242Not measuredOnly Mistral Small 3.1 24B measured
LMArena Text: multi-turn12701355o1
LMArena Text: longer queries12991378o1
LMArena Text: writing and language12681360o1
LMArena Text: entertainment and media12501358o1
LMArena Vision: English11571162o1
LMArena Vision: Chinese11551235o1
LMArena Vision: reading text1132Not measuredOnly Mistral Small 3.1 24B measured
LMArena Vision: humor1142Not measuredOnly Mistral Small 3.1 24B measured
LMArena Vision: captioning1153Not measuredOnly Mistral Small 3.1 24B measured
LMArena Vision: recognizing things1155Not measuredOnly Mistral Small 3.1 24B measured
LMArena Vision: creative writing1123Not measuredOnly Mistral Small 3.1 24B measured
Neither model has a result on the other 15 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 o1
BenchmarkMistral Small 3.1 24Bo1Leader
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
o1$0.045Fits 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
o1$0.930Fits 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
o1$3.60Exceeds 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 o1
SpecificationMistral Small 3.1 24BOpenAI o1
MakerMistral AIOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMarch 17, 2025December 17, 2024
Context window128K200K
Input $/Mtok$0.351$15.00
Output $/Mtok$0.555$60.00
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 o1 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 108.1x cheaper ($0.555 vs $60.00 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 o1?

Mistral Small 3.1 24B costs $0.351 per million input tokens and $0.555 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Mistral Small 3.1 24B or o1?

o1, with 200K tokens against 128K.

How many benchmarks is the Mistral Small 3.1 24B vs o1 comparison based on?

30 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 o1's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next