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Kimi K2.7 Code vs Ministral 3 3B 2512

Kimi K2.7 Code leads Ministral 3 3B 2512 on the Artificial Analysis Intelligence Index, 25.8 to 4.8, and Ministral 3 3B 2512 costs 40.0x less per output token ($0.10 vs $4.00 per million). Updated October 21, 2026; 7 benchmarks have a result for both.

Kimi K2.7 CodeMoonshot AI
Coding
53.4
Overall
56.7
Output $/M
$4.00
7
Ministral 3 3B 2512Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.10
0
vs boards won of 7 shared

Kimi K2.7 Code or Ministral 3 3B 2512: which to pick

Only Kimi K2.7 Code has a coding score, 53.4 on the Vibe Coding Index; Ministral 3 3B 2512 has none, so the two cannot be ranked on coding.

Pick Ministral 3 3B 2512 for output tokens 40.0x cheaper ($0.10 vs $4.00 per million).

Shared results
7
Kimi K2.7 Code only
44
Ministral 3 3B 2512 only
0
Like-for-like categories
4 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 K2.7 Code 53.4 from 4 benchmarks, Ministral 3 3B 2512 not benchmarked.
Widest category
Coding, 56.0 points apart on average over 1 shared benchmark.
Widest single gap
AA Coding Index: Kimi K2.7 Code 60.8 against Ministral 3 3B 2512 4.8, 56.0 points apart on a 0 to 100 scale.
Output price
Kimi K2.7 Code $4.00 against Ministral 3 3B 2512 $0.10 per million output tokens, 40.0x apart.
Context window
Kimi K2.7 Code takes 262K tokens, Ministral 3 3B 2512 131K.

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 K2.7 CodeBarsMinistral 3 3B 2512Ties
Coding10
Intelligence10
Agentic work10
Web design40
All shared boards70
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for Kimi K2.7 Code and Ministral 3 3B 2512
BenchmarkKimi K2.7 CodeMinistral 3 3B 2512Leader
LMArena WebDev1474Not measuredOnly Kimi K2.7 Code measured
AA Coding Index60.84.8Kimi K2.7 Code
LiveCodeBench (Vals AI)82.0%Not measuredOnly Kimi K2.7 Code measured
SWE-bench Verified (Vals AI)78.2%Not measuredOnly Kimi K2.7 Code measured
Vibe Code Bench (Vals AI)47.2%Not measuredOnly Kimi K2.7 Code measured
Code migration (Vals AI)25.4%Not measuredOnly Kimi K2.7 Code measured
ProgramBench (Vals AI)0.0%Not measuredOnly Kimi K2.7 Code measured
Terminal-Bench 2.1 (Vals AI)67.0%Not measuredOnly Kimi K2.7 Code measured
SkillsBench (Vals AI)50.0%Not measuredOnly Kimi K2.7 Code measured
SciCode47.8%Not measuredOnly Kimi K2.7 Code measured
Terminal-Bench Hard (Artificial Analysis run)44.7%Not measuredOnly Kimi K2.7 Code measured
FrontierCode30.1%Not measuredOnly Kimi K2.7 Code measured
WeirdML54.1%Not measuredOnly Kimi K2.7 Code measured
ALE-Bench886.2Not measuredOnly Kimi K2.7 Code measured
LMArena WebDev: React1475Not measuredOnly Kimi K2.7 Code measured
LMArena WebDev: HTML1451Not measuredOnly Kimi K2.7 Code measured
LMArena WebDev: from an image1513Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Kimi K2.7 Code and Ministral 3 3B 2512
BenchmarkKimi K2.7 CodeMinistral 3 3B 2512Leader
AA Intelligence Index25.84.8Kimi K2.7 Code
Epoch Capabilities Index150.1Not measuredOnly Kimi K2.7 Code measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Kimi K2.7 Code and Ministral 3 3B 2512
BenchmarkKimi K2.7 CodeMinistral 3 3B 2512Leader
AA Agentic Index21.00.8Kimi K2.7 Code
Design Arena: agents building web apps1176Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building full-stack apps1175Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building mobile apps1143Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building Android apps1137Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building Godot games1147Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building games1131Not measuredOnly Kimi K2.7 Code measured
Design Arena: HTML slides1201Not measuredOnly Kimi K2.7 Code measured
Design Arena: PowerPoint slides1154Not measuredOnly Kimi K2.7 Code measured
τ²-Bench Telecom90.1%Not measuredOnly Kimi K2.7 Code measured
APEX-Agents37.6%Not measuredOnly Kimi K2.7 Code measured
Vending-Bench 2$5,083Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 29 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Reasoning benchmarks for Kimi K2.7 Code and Ministral 3 3B 2512
BenchmarkKimi K2.7 CodeMinistral 3 3B 2512Leader
GPQA Diamond (Artificial Analysis run)89.6%Not measuredOnly Kimi K2.7 Code measured
Humanity's Last Exam (Artificial Analysis run)35.0%Not measuredOnly Kimi K2.7 Code measured
GPQA Diamond (Epoch AI run)87.9%Not measuredOnly Kimi K2.7 Code measured
SimpleBench57.9%Not measuredOnly Kimi K2.7 Code measured
Chess puzzles14.0%Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 17 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Kimi K2.7 Code and Ministral 3 3B 2512
BenchmarkKimi K2.7 CodeMinistral 3 3B 2512Leader
OTIS Mock AIME95.6%Not measuredOnly Kimi K2.7 Code measured
FrontierMath, tiers 1 to 354.0%Not measuredOnly Kimi K2.7 Code measured
FrontierMath, tier 412.2%Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Knowledge benchmarks for Kimi K2.7 Code and Ministral 3 3B 2512
BenchmarkKimi K2.7 CodeMinistral 3 3B 2512Leader
SimpleQA Verified36.5%Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 17 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index40
Web design benchmarks for Kimi K2.7 Code and Ministral 3 3B 2512
BenchmarkKimi K2.7 CodeMinistral 3 3B 2512Leader
Design Arena: websites12641028Kimi K2.7 Code
Design Arena: UI components1259Not measuredOnly Kimi K2.7 Code measured
Design Arena: game dev1220949Kimi K2.7 Code
Design Arena: data viz1227Not measuredOnly Kimi K2.7 Code measured
Design Arena: 3D1241963Kimi K2.7 Code
Design Arena: all code categories12531010Kimi K2.7 Code
Design Arena: SVG1176Not measuredOnly Kimi K2.7 Code measured
Design Arena: ASCII art1196Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
General benchmarks for Kimi K2.7 Code and Ministral 3 3B 2512
BenchmarkKimi K2.7 CodeMinistral 3 3B 2512Leader
IFBench63.1%Not measuredOnly Kimi K2.7 Code measured
Long context reasoning (AA-LCR)79.3%Not measuredOnly Kimi K2.7 Code measured
Surface Evolver Bench48.8%Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 43 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Kimi K2.7 Code and Ministral 3 3B 2512
BenchmarkKimi K2.7 CodeMinistral 3 3B 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 K2.7 Code$0.0029Fits in one request
Ministral 3 3B 2512$0.0001Fits in one request

Ministral 3 3B 2512 costs less

Repository review

50K input + 3K output tokens

Kimi K2.7 Code$0.059Fits in one request
Ministral 3 3B 2512$0.0053Fits in one request

Ministral 3 3B 2512 costs less

Agent loop

200K input + 10K output tokens

Kimi K2.7 Code$0.230Fits in one request
Ministral 3 3B 2512$0.021Exceeds the context window

Ministral 3 3B 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 K2.7 Code and Ministral 3 3B 2512
SpecificationMoonshotAI Kimi K2.7 CodeMistral Ministral 3 3B 2512
MakerMoonshot AIMistral AI
WeightsOpen weightsOpen weights
ReleasedJune 12, 2026December 2, 2025
Context window262K131K
Input $/Mtok$0.95$0.10
Output $/Mtok$4.00$0.10
Coding index53.4Not benchmarked
Independent measurements behind it40
Cost per solved task$0.35Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2.7 Code better than Ministral 3 3B 2512 for coding?

Only Kimi K2.7 Code has a coding score, 53.4 on the Vibe Coding Index; Ministral 3 3B 2512 has none, so the two cannot be ranked on coding. Pick Ministral 3 3B 2512 for output tokens 40.0x cheaper ($0.10 vs $4.00 per million).

Which is cheaper, Kimi K2.7 Code or Ministral 3 3B 2512?

Kimi K2.7 Code costs $0.95 per million input tokens and $4.00 per million output tokens; Ministral 3 3B 2512 costs $0.10 and $0.10. Cost per solved task is known for Kimi K2.7 Code only.

Which has the bigger context window, Kimi K2.7 Code or Ministral 3 3B 2512?

Kimi K2.7 Code, with 262K tokens against 131K.

How many benchmarks is the Kimi K2.7 Code vs Ministral 3 3B 2512 comparison based on?

7 benchmarks have a result for both models as of October 21, 2026. Kimi K2.7 Code's coding index rests on 4 independent benchmarks and Ministral 3 3B 2512's on 0. Where only one model has a result, the page says so instead of naming a winner.

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