Enter opens the highlighted result. Esc closes.

Mistral Small 4 vs o1

Updated October 21, 2026. 10 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Mistral Small 4Mistral AI
Coding
No data
Overall
11.3
Output $/M
$0.60
3
o1OpenAI
Coding
No data
Overall
15.2
Output $/M
$60.00
7
vs boards won of 10 shared

Decision reading

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

Mistral Small 4 has the edge where output tokens cost 100.0x less, and where the context window is larger, 262K against 200K tokens.

Shared results
10
Mistral Small 4 only
4
o1 only
58
Like-for-like categories
5 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 4 not benchmarked, o1 not benchmarked.
Widest category
Agentic work, 21.3 points apart on average over 1 shared benchmark.
Widest single gap
IFBench: Mistral Small 4 48.2% against o1 70.3%, 22.2 points apart on a 0 to 100 scale.
Output price
Mistral Small 4 $0.60 against o1 $60.00 per million output tokens, 100.0x apart.
Context window
Mistral Small 4 takes 262K 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 4Barso1Ties
Coding11
Intelligence01
Agentic work01
Reasoning20
General04
All shared boards37
CodingLike-for-likeSix of these boards feed the Vibe Coding Index11
Coding benchmarks for Mistral Small 4 and o1
BenchmarkMistral Small 4o1Leader
Aider polyglotNot measured61.7%Only o1 measured
AA Coding Index26.639.7o1
LiveCodeBench (Vals AI)Not measured50.3%Only o1 measured
Vibe Code Bench (Vals AI)0.0%Not measuredOnly Mistral Small 4 measured
LiveCodeBench (Artificial Analysis run)Not measured67.9%Only o1 measured
SciCode38.8%Not measuredOnly Mistral Small 4 measured
Terminal-Bench Hard (Artificial Analysis run)17.4%12.9%Mistral Small 4
WeirdMLNot measured46.1%Only o1 measured
ALE-Bench497.6Not measuredOnly Mistral Small 4 measured
LMArena Text: codingNot measured1367Only o1 measured
LMArena Text: software and ITNot measured1366Only o1 measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mistral Small 4 and o1
BenchmarkMistral Small 4o1Leader
AA Intelligence Index11.315.2o1
Epoch Capabilities IndexNot measured141.7Only o1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Mistral Small 4 and o1
BenchmarkMistral Small 4o1Leader
AA Agentic Index0.8Not measuredOnly Mistral Small 4 measured
τ²-Bench Telecom41.2%62.6%o1
METR time horizonsNot measured51.1%Only o1 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Mistral Small 4 and o1
BenchmarkMistral Small 4o1Leader
GPQA DiamondNot measured73.2%Only o1 measured
MMMU Pro (Vals AI)Not measured77.4%Only o1 measured
GPQA Diamond (Artificial Analysis run)76.9%74.7%Mistral Small 4
Humanity's Last Exam (Artificial Analysis run)9.9%7.0%Mistral Small 4
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 promptsNot measured1371Only o1 measured
LMArena Text: expertNot measured1361Only o1 measured
LMArena Text: hard prompts in EnglishNot measured1372Only o1 measured
Neither model has a result on the other 9 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Math benchmarks for Mistral Small 4 and o1
BenchmarkMistral Small 4o1Leader
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: mathNot measured1388Only o1 measured
LMArena Text: mathematical workNot measured1390Only o1 measured
Neither model has a result on the other 5 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Knowledge benchmarks for Mistral Small 4 and o1
BenchmarkMistral Small 4o1Leader
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: scienceNot measured1369Only o1 measured
LMArena Text: medicine and healthcareNot measured1355Only o1 measured
LMArena Text: legal and governmentNot measured1368Only o1 measured
LMArena Text: business and financeNot measured1328Only o1 measured
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 4 and o1
BenchmarkMistral Small 4o1Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index04
General benchmarks for Mistral Small 4 and o1
BenchmarkMistral Small 4o1Leader
IFBench48.2%70.3%o1
Long context reasoning (AA-LCR)49.7%65.0%o1
DTBench70.9%74.7%o1
LMCA20.6%22.3%o1
Fiction.LiveBenchNot measured83.3%Only o1 measured
Creative writing (Lech Mazur)Not measured70.2%Only o1 measured
LMArena TextNot measured1366Only o1 measured
LMArena Text: instruction followingNot measured1367Only o1 measured
LMArena Text: creative writingNot measured1347Only o1 measured
LMArena VisionNot measured1168Only o1 measured
LMArena Text: EnglishNot measured1372Only o1 measured
LMArena Text: non-EnglishNot measured1358Only o1 measured
LMArena Text: ChineseNot measured1394Only o1 measured
LMArena Text: GermanNot measured1337Only o1 measured
LMArena Text: JapaneseNot measured1346Only o1 measured
LMArena Text: KoreanNot measured1396Only o1 measured
LMArena Text: FrenchNot measured1344Only o1 measured
LMArena Text: SpanishNot measured1345Only o1 measured
LMArena Text: RussianNot measured1356Only o1 measured
LMArena Text: multi-turnNot measured1355Only o1 measured
LMArena Text: longer queriesNot measured1378Only o1 measured
LMArena Text: writing and languageNot measured1360Only o1 measured
LMArena Text: entertainment and mediaNot measured1358Only o1 measured
LMArena Vision: EnglishNot measured1162Only o1 measured
LMArena Vision: ChineseNot measured1235Only o1 measured
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Mistral Small 4 and o1
BenchmarkMistral Small 4o1Leader
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 4$0.0004Fits in one request
o1$0.045Fits in one request

Mistral Small 4 costs less

Repository review

50K input + 3K output tokens

Mistral Small 4$0.0093Fits in one request
o1$0.930Fits in one request

Mistral Small 4 costs less

Agent loop

200K input + 10K output tokens

Mistral Small 4$0.036Fits in one request
o1$3.60Exceeds the context window

Mistral Small 4 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 4 and o1
SpecificationMistral Small 4OpenAI o1
MakerMistral AIOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMarch 16, 2026December 17, 2024
Context window262K200K
Input $/Mtok$0.15$15.00
Output $/Mtok$0.60$60.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Small 4 better than o1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Mistral Small 4 has the edge where output tokens cost 100.0x less, and where the context window is larger, 262K against 200K tokens.

Which is cheaper, Mistral Small 4 or o1?

Mistral Small 4 costs $0.15 per million input tokens and $0.60 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 4 or o1?

Mistral Small 4, with 262K tokens against 200K.

How many benchmarks is the Mistral Small 4 vs o1 comparison based on?

10 benchmarks have a result for both models as of October 21, 2026. Mistral Small 4's coding index rests on 1 independent benchmark and o1's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next