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Kimi K2 0711 vs Mistral Large 3 2512

Updated October 21, 2026. 15 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Kimi K2 0711Moonshot AI
Coding
No data
Overall
12.7
Output $/M
$2.30
7
Mistral Large 3 2512Mistral AI
Coding
No data
Overall
9.3
Output $/M
$1.50
8
vs boards won of 15 shared

Decision reading

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

Kimi K2 0711 has the edge where what matters is MMLU Pro or CorpFin (Vals AI), where it leads.

Shared results
15
Kimi K2 0711 only
21
Mistral Large 3 2512 only
13
Like-for-like categories
6 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
Kimi K2 0711 not benchmarked, Mistral Large 3 2512 not benchmarked.
Widest category
Coding, 15.1 points apart on average over 1 shared benchmark.
Widest single gap
AIME: Kimi K2 0711 62.7% against Mistral Large 3 2512 42.9%, 19.8 points apart on a 0 to 100 scale.
Output price
Kimi K2 0711 $2.30 against Mistral Large 3 2512 $1.50 per million output tokens, 1.5x apart.
Context window
Kimi K2 0711 takes 131K tokens, Mistral Large 3 2512 262K.

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 Large 3 2512Ties
Coding10
Intelligence10
Reasoning10
Math20
Knowledge23
Web design05
All shared boards78
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for Kimi K2 0711 and Mistral Large 3 2512
BenchmarkKimi K2 0711Mistral Large 3 2512Leader
Aider polyglot59.1%Not measuredOnly Kimi K2 0711 measured
SWE-bench Verified71.2%Not measuredOnly Kimi K2 0711 measured
AA Coding IndexNot measured20.1Only Mistral Large 3 2512 measured
LiveCodeBench (Vals AI)70.5%55.3%Kimi K2 0711
SWE-bench Verified (Vals AI)Not measured41.4%Only Mistral Large 3 2512 measured
LiveCodeBench (Artificial Analysis run)55.6%Not measuredOnly Kimi K2 0711 measured
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
ALE-BenchNot measured264.7Only Mistral Large 3 2512 measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Kimi K2 0711 and Mistral Large 3 2512
BenchmarkKimi K2 0711Mistral Large 3 2512Leader
AA Intelligence Index12.79.3Kimi K2 0711
Epoch Capabilities Index140.0Not measuredOnly Kimi K2 0711 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Kimi K2 0711 and Mistral Large 3 2512
BenchmarkKimi K2 0711Mistral Large 3 2512Leader
AA Agentic IndexNot measured1.0Only Mistral Large 3 2512 measured
τ²-Bench Telecom61.1%Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
Reasoning benchmarks for Kimi K2 0711 and Mistral Large 3 2512
BenchmarkKimi K2 0711Mistral Large 3 2512Leader
GPQA Diamond71.5%68.4%Kimi K2 0711
MMMU Pro (Vals AI)Not measured66.2%Only Mistral Large 3 2512 measured
GPQA Diamond (Artificial Analysis run)76.6%Not measuredOnly Kimi K2 0711 measured
Humanity's Last Exam (Artificial Analysis run)7.4%Not measuredOnly Kimi K2 0711 measured
SimpleBench26.3%Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Kimi K2 0711 and Mistral Large 3 2512
BenchmarkKimi K2 0711Mistral Large 3 2512Leader
AIME62.7%42.9%Kimi K2 0711
MATH 500 (Vals AI)94.2%Not measuredOnly Kimi K2 0711 measured
MGSM (Vals AI)91.0%85.4%Kimi K2 0711
AA Math Index57.0Not measuredOnly Kimi K2 0711 measured
AIME 2025 (Artificial Analysis run)57.0%Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
Knowledge benchmarks for Kimi K2 0711 and Mistral Large 3 2512
BenchmarkKimi K2 0711Mistral Large 3 2512Leader
MMLU Pro79.4%79.8%Mistral Large 3 2512
LegalBench (Vals AI)81.5%79.1%Kimi K2 0711
CaseLaw (Vals AI)Not measured61.4%Only Mistral Large 3 2512 measured
CorpFin (Vals AI)50.4%61.0%Mistral Large 3 2512
TaxEval (Vals AI)70.2%73.1%Mistral Large 3 2512
MortgageTax (Vals AI)Not measured52.1%Only Mistral Large 3 2512 measured
MedQA (Vals AI)84.0%82.2%Kimi K2 0711
MMLU Pro (Artificial Analysis run)82.4%Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index05
Web design benchmarks for Kimi K2 0711 and Mistral Large 3 2512
BenchmarkKimi K2 0711Mistral Large 3 2512Leader
Design Arena: websites10501162Mistral Large 3 2512
Design Arena: UI components10301102Mistral Large 3 2512
Design Arena: game dev9741080Mistral Large 3 2512
Design Arena: data viz10181136Mistral Large 3 2512
Design Arena: 3DNot measured1099Only Mistral Large 3 2512 measured
Design Arena: all code categories10331142Mistral Large 3 2512
Design Arena: SVGNot measured993Only Mistral Large 3 2512 measured
Design Arena: ASCII artNot measured1069Only Mistral Large 3 2512 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
General benchmarks for Kimi K2 0711 and Mistral Large 3 2512
BenchmarkKimi K2 0711Mistral Large 3 2512Leader
SAGE (Vals AI)Not measured24.6%Only Mistral Large 3 2512 measured
IFBench41.5%Not measuredOnly Kimi K2 0711 measured
Long context reasoning (AA-LCR)53.0%Not measuredOnly Kimi K2 0711 measured
DTBenchNot measured65.1%Only Mistral Large 3 2512 measured
LMCANot measured16.7%Only Mistral Large 3 2512 measured
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
Neither model has a result on the other 38 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 Large 3 2512
BenchmarkKimi K2 0711Mistral Large 3 2512Leader
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 Large 3 2512$0.0013Fits in one request

Mistral Large 3 2512 costs less

Repository review

50K input + 3K output tokens

Kimi K2 0711$0.035Fits in one request
Mistral Large 3 2512$0.029Fits in one request

Mistral Large 3 2512 costs less

Agent loop

200K input + 10K output tokens

Kimi K2 0711$0.137Exceeds the context window
Mistral Large 3 2512$0.115Fits in one request

Mistral Large 3 2512 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 Large 3 2512
SpecificationMoonshotAI Kimi K2 0711Mistral Large 3 2512
MakerMoonshot AIMistral AI
WeightsOpen weightsNo public weights listed
ReleasedJuly 11, 2025December 1, 2025
Context window131K262K
Input $/Mtok$0.57$0.50
Output $/Mtok$2.30$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.77
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2 0711 better than Mistral Large 3 2512 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Kimi K2 0711 has the edge where what matters is MMLU Pro or CorpFin (Vals AI), where it leads.

Which is cheaper, Kimi K2 0711 or Mistral Large 3 2512?

Kimi K2 0711 costs $0.57 per million input tokens and $2.30 per million output tokens; Mistral Large 3 2512 costs $0.50 and $1.50. Cost per solved task is known for Mistral Large 3 2512 only.

Which has the bigger context window, Kimi K2 0711 or Mistral Large 3 2512?

Mistral Large 3 2512, with 262K tokens against 131K.

How many benchmarks is the Kimi K2 0711 vs Mistral Large 3 2512 comparison based on?

15 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 Large 3 2512's on 1. Where only one model has a result, the page says so instead of naming a winner.

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