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Kimi K2 0711 vs Mistral Small 3

Kimi K2 0711 leads Mistral Small 3 on the Artificial Analysis Intelligence Index, 12.7 to 6.7, and Mistral Small 3 costs 28.7x less per output token ($0.08 vs $2.30 per million). Updated October 21, 2026; 10 benchmarks have a result for both.

Kimi K2 0711Moonshot AI
Coding
No data
Overall
No data
Output $/M
$2.30
10
Mistral Small 3Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.08
0
vs boards won of 10 shared

Kimi K2 0711 or Mistral Small 3: which to pick

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

Pick Kimi K2 0711 for a larger context window (131K against 33K tokens).

Shared results
10
Kimi K2 0711 only
27
Mistral Small 3 only
26
Like-for-like categories
7 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
Kimi K2 0711 not benchmarked, Mistral Small 3 not benchmarked.
Widest category
Math, 52.7 points apart on average over 2 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Kimi K2 0711 53.0% against Mistral Small 3 0.0%, 53.0 points apart on a 0 to 100 scale.
Output price
Kimi K2 0711 $2.30 against Mistral Small 3 $0.08 per million output tokens, 28.7x apart.
Context window
Kimi K2 0711 takes 131K tokens, Mistral Small 3 33K.

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
CategoryKimi K2 0711BarsMistral Small 3Ties
Coding10
Intelligence10
Agentic work10
Reasoning20
Math20
Knowledge10
General20
All shared boards100
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for Kimi K2 0711 and Mistral Small 3
BenchmarkKimi K2 0711Mistral Small 3Leader
Aider polyglot59.1%Not measuredOnly Kimi K2 0711 measured
SWE-bench Verified71.2%Not measuredOnly Kimi K2 0711 measured
LiveCodeBench (Vals AI)70.5%Not measuredOnly Kimi K2 0711 measured
LiveCodeBench (Artificial Analysis run)55.6%25.2%Kimi K2 0711
Terminal-Bench Hard (Artificial Analysis run)15.9%Not measuredOnly Kimi K2 0711 measured
Terminal-Bench27.8%Not measuredOnly Kimi K2 0711 measured
GSO-Bench4.9%Not measuredOnly Kimi K2 0711 measured
WeirdML39.4%Not measuredOnly Kimi K2 0711 measured
LMArena Text: codingNot measured1246Only Mistral Small 3 measured
LMArena Text: software and ITNot measured1248Only Mistral Small 3 measured
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Kimi K2 0711 and Mistral Small 3
BenchmarkKimi K2 0711Mistral Small 3Leader
AA Intelligence Index12.76.7Kimi K2 0711
Epoch Capabilities Index140.0Not measuredOnly Kimi K2 0711 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Kimi K2 0711 and Mistral Small 3
BenchmarkKimi K2 0711Mistral Small 3Leader
τ²-Bench Telecom61.1%19.6%Kimi K2 0711
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Kimi K2 0711 and Mistral Small 3
BenchmarkKimi K2 0711Mistral Small 3Leader
GPQA Diamond71.5%Not measuredOnly Kimi K2 0711 measured
GPQA Diamond (Artificial Analysis run)76.6%46.2%Kimi K2 0711
Humanity's Last Exam (Artificial Analysis run)7.4%3.8%Kimi K2 0711
SimpleBench26.3%Not measuredOnly Kimi K2 0711 measured
LMArena Text: hard promptsNot measured1233Only Mistral Small 3 measured
LMArena Text: expertNot measured1202Only Mistral Small 3 measured
LMArena Text: hard prompts in EnglishNot measured1243Only Mistral Small 3 measured
Kagi LLM Benchmark64.4%Not measuredOnly Kimi K2 0711 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 Kimi K2 0711 and Mistral Small 3
BenchmarkKimi K2 0711Mistral Small 3Leader
AIME62.7%Not measuredOnly Kimi K2 0711 measured
MATH 500 (Vals AI)94.2%Not measuredOnly Kimi K2 0711 measured
MGSM (Vals AI)91.0%Not measuredOnly Kimi K2 0711 measured
AA Math Index57.04.3Kimi K2 0711
AIME 2025 (Artificial Analysis run)57.0%4.3%Kimi K2 0711
LMArena Text: mathNot measured1240Only Mistral Small 3 measured
LMArena Text: mathematical workNot measured1243Only Mistral Small 3 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for Kimi K2 0711 and Mistral Small 3
BenchmarkKimi K2 0711Mistral Small 3Leader
MMLU Pro79.4%Not measuredOnly Kimi K2 0711 measured
LegalBench (Vals AI)81.5%Not measuredOnly Kimi K2 0711 measured
CorpFin (Vals AI)50.4%Not measuredOnly Kimi K2 0711 measured
TaxEval (Vals AI)70.2%Not measuredOnly Kimi K2 0711 measured
MedQA (Vals AI)84.0%Not measuredOnly Kimi K2 0711 measured
MMLU Pro (Artificial Analysis run)82.4%65.2%Kimi K2 0711
LMArena Text: scienceNot measured1235Only Mistral Small 3 measured
LMArena Text: medicine and healthcareNot measured1215Only Mistral Small 3 measured
LMArena Text: legal and governmentNot measured1219Only Mistral Small 3 measured
LMArena Text: business and financeNot measured1205Only Mistral Small 3 measured
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for Kimi K2 0711 and Mistral Small 3
BenchmarkKimi K2 0711Mistral Small 3Leader
Design Arena: websites1050Not measuredOnly Kimi K2 0711 measured
Design Arena: UI components1030Not measuredOnly Kimi K2 0711 measured
Design Arena: game dev974Not measuredOnly Kimi K2 0711 measured
Design Arena: data viz1018Not measuredOnly Kimi K2 0711 measured
Design Arena: all code categories1033Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for Kimi K2 0711 and Mistral Small 3
BenchmarkKimi K2 0711Mistral Small 3Leader
IFBench41.5%26.4%Kimi K2 0711
Long context reasoning (AA-LCR)53.0%0.0%Kimi K2 0711
Fiction.LiveBench61.1%Not measuredOnly Kimi K2 0711 measured
Creative writing (Lech Mazur)85.6%Not measuredOnly Kimi K2 0711 measured
CL-bench11.9%Not measuredOnly Kimi K2 0711 measured
LMArena TextNot measured1234Only Mistral Small 3 measured
LMArena Text: instruction followingNot measured1214Only Mistral Small 3 measured
LMArena Text: creative writingNot measured1194Only Mistral Small 3 measured
LMArena Text: EnglishNot measured1256Only Mistral Small 3 measured
LMArena Text: non-EnglishNot measured1198Only Mistral Small 3 measured
LMArena Text: ChineseNot measured1204Only Mistral Small 3 measured
LMArena Text: GermanNot measured1211Only Mistral Small 3 measured
LMArena Text: JapaneseNot measured1111Only Mistral Small 3 measured
LMArena Text: KoreanNot measured1188Only Mistral Small 3 measured
LMArena Text: FrenchNot measured1204Only Mistral Small 3 measured
LMArena Text: RussianNot measured1216Only Mistral Small 3 measured
LMArena Text: multi-turnNot measured1217Only Mistral Small 3 measured
LMArena Text: longer queriesNot measured1246Only Mistral Small 3 measured
LMArena Text: writing and languageNot measured1214Only Mistral Small 3 measured
LMArena Text: entertainment and mediaNot measured1184Only Mistral Small 3 measured
Neither model has a result on the other 26 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Kimi K2 0711 and Mistral Small 3
BenchmarkKimi K2 0711Mistral Small 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

Kimi K2 0711$0.0017Fits in one request
Mistral Small 3$0.0001Fits in one request

Mistral Small 3 costs less

Repository review

50K input + 3K output tokens

Kimi K2 0711$0.035Fits in one request
Mistral Small 3$0.0027Exceeds the context window

Mistral Small 3 costs less

Agent loop

200K input + 10K output tokens

Kimi K2 0711$0.137Exceeds the context window
Mistral Small 3$0.011Exceeds the context window

Mistral Small 3 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 Kimi K2 0711 and Mistral Small 3
SpecificationMoonshotAI Kimi K2 0711Mistral Small 3
MakerMoonshot AIMistral AI
WeightsOpen weightsOpen weights
ReleasedJuly 11, 2025January 30, 2025
Context window131K33K
Input $/Mtok$0.57$0.05
Output $/Mtok$2.30$0.08
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2 0711 better than Mistral Small 3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Kimi K2 0711 for a larger context window (131K against 33K tokens).

Which is cheaper, Kimi K2 0711 or Mistral Small 3?

Kimi K2 0711 costs $0.57 per million input tokens and $2.30 per million output tokens; Mistral Small 3 costs $0.05 and $0.08. Cost per solved task is known for neither of them.

Which has the bigger context window, Kimi K2 0711 or Mistral Small 3?

Kimi K2 0711, with 131K tokens against 33K.

How many benchmarks is the Kimi K2 0711 vs Mistral Small 3 comparison based on?

10 benchmarks have a result for both models as of October 21, 2026. Kimi K2 0711's coding index rests on 0 independent benchmarks and Mistral Small 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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