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Codestral 2508 vs Kimi K2.7 Code

Updated October 21, 2026. 7 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Codestral 2508Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.90
0
Kimi K2.7 CodeMoonshot AI
Coding
53.4
Overall
25.8
Output $/M
$4.00
7
vs boards won of 7 shared

Decision reading

Only Kimi K2.7 Code has a coding score, 53.4 on the Vibe Coding Index; Codestral 2508 has none, so the two cannot be ranked on coding.

Codestral 2508 has the edge where output tokens cost 4.4x less.

Shared results
7
Codestral 2508 only
0
Kimi K2.7 Code only
44
Like-for-like categories
2 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
Codestral 2508 not benchmarked, Kimi K2.7 Code 53.4 from 4 benchmarks.
Widest category
Web design, 29.6 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: game dev: Codestral 2508 968 against Kimi K2.7 Code 1220, 31.5 points apart on a 0 to 100 scale.
Output price
Codestral 2508 $0.90 against Kimi K2.7 Code $4.00 per million output tokens, 4.4x apart.
Context window
Codestral 2508 takes 256K tokens, Kimi K2.7 Code 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
CategoryCodestral 2508BarsKimi K2.7 CodeTies
Coding01
Web design06
All shared boards07
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Codestral 2508 and Kimi K2.7 Code
BenchmarkCodestral 2508Kimi K2.7 CodeLeader
LMArena WebDevNot measured1474Only Kimi K2.7 Code measured
AA Coding IndexNot measured60.8Only Kimi K2.7 Code measured
LiveCodeBench (Vals AI)Not measured82.0%Only Kimi K2.7 Code measured
SWE-bench Verified (Vals AI)Not measured78.2%Only Kimi K2.7 Code measured
Vibe Code Bench (Vals AI)Not measured47.2%Only Kimi K2.7 Code measured
Code migration (Vals AI)Not measured25.4%Only Kimi K2.7 Code measured
ProgramBench (Vals AI)Not measured0.0%Only Kimi K2.7 Code measured
Terminal-Bench 2.1 (Vals AI)Not measured67.0%Only Kimi K2.7 Code measured
SkillsBench (Vals AI)Not measured50.0%Only Kimi K2.7 Code measured
SciCodeNot measured47.8%Only Kimi K2.7 Code measured
Terminal-Bench Hard (Artificial Analysis run)Not measured44.7%Only Kimi K2.7 Code measured
FrontierCodeNot measured30.1%Only Kimi K2.7 Code measured
WeirdMLNot measured54.1%Only Kimi K2.7 Code measured
ALE-Bench137.8886.2Kimi K2.7 Code
LMArena WebDev: ReactNot measured1475Only Kimi K2.7 Code measured
LMArena WebDev: HTMLNot measured1451Only Kimi K2.7 Code measured
LMArena WebDev: from an imageNot measured1513Only Kimi K2.7 Code measured
Neither model has a result on the other 21 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Codestral 2508 and Kimi K2.7 Code
BenchmarkCodestral 2508Kimi K2.7 CodeLeader
AA Intelligence IndexNot measured25.8Only Kimi K2.7 Code measured
Epoch Capabilities IndexNot measured150.1Only Kimi K2.7 Code measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for Codestral 2508 and Kimi K2.7 Code
BenchmarkCodestral 2508Kimi K2.7 CodeLeader
AA Agentic IndexNot measured21.0Only Kimi K2.7 Code measured
Design Arena: agents building web appsNot measured1176Only Kimi K2.7 Code measured
Design Arena: agents building full-stack appsNot measured1175Only Kimi K2.7 Code measured
Design Arena: agents building mobile appsNot measured1143Only Kimi K2.7 Code measured
Design Arena: agents building Android appsNot measured1143Only Kimi K2.7 Code measured
Design Arena: agents building Godot gamesNot measured1147Only Kimi K2.7 Code measured
Design Arena: agents building gamesNot measured1131Only Kimi K2.7 Code measured
Design Arena: HTML slidesNot measured1201Only Kimi K2.7 Code measured
Design Arena: PowerPoint slidesNot measured1154Only Kimi K2.7 Code measured
τ²-Bench TelecomNot measured90.1%Only Kimi K2.7 Code measured
APEX-AgentsNot measured37.6%Only Kimi K2.7 Code measured
Vending-Bench 2Not measured$5,083Only Kimi K2.7 Code measured
Neither model has a result on the other 27 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Reasoning benchmarks for Codestral 2508 and Kimi K2.7 Code
BenchmarkCodestral 2508Kimi K2.7 CodeLeader
GPQA Diamond (Artificial Analysis run)Not measured89.6%Only Kimi K2.7 Code measured
Humanity's Last Exam (Artificial Analysis run)Not measured35.0%Only Kimi K2.7 Code measured
GPQA Diamond (Epoch AI run)Not measured87.9%Only Kimi K2.7 Code measured
SimpleBenchNot measured57.9%Only Kimi K2.7 Code measured
Chess puzzlesNot measured14.0%Only Kimi K2.7 Code measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Codestral 2508 and Kimi K2.7 Code
BenchmarkCodestral 2508Kimi K2.7 CodeLeader
OTIS Mock AIMENot measured95.6%Only Kimi K2.7 Code measured
FrontierMath, tiers 1 to 3Not measured54.0%Only Kimi K2.7 Code measured
FrontierMath, tier 4Not measured12.2%Only 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 Codestral 2508 and Kimi K2.7 Code
BenchmarkCodestral 2508Kimi K2.7 CodeLeader
SimpleQA VerifiedNot measured36.5%Only Kimi K2.7 Code measured
Neither model has a result on the other 16 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for Codestral 2508 and Kimi K2.7 Code
BenchmarkCodestral 2508Kimi K2.7 CodeLeader
Design Arena: websites10131264Kimi K2.7 Code
Design Arena: UI components10171259Kimi K2.7 Code
Design Arena: game dev9681220Kimi K2.7 Code
Design Arena: data viz10171227Kimi K2.7 Code
Design Arena: 3D10201241Kimi K2.7 Code
Design Arena: all code categories10071253Kimi K2.7 Code
Design Arena: SVGNot measured1176Only Kimi K2.7 Code measured
Design Arena: ASCII artNot measured1196Only 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 Codestral 2508 and Kimi K2.7 Code
BenchmarkCodestral 2508Kimi K2.7 CodeLeader
IFBenchNot measured63.1%Only Kimi K2.7 Code measured
Long context reasoning (AA-LCR)Not measured79.3%Only Kimi K2.7 Code measured
Surface Evolver BenchNot measured48.8%Only 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 Codestral 2508 and Kimi K2.7 Code
BenchmarkCodestral 2508Kimi K2.7 CodeLeader
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

Codestral 2508$0.0008Fits in one request
Kimi K2.7 Code$0.0029Fits in one request

Codestral 2508 costs less

Repository review

50K input + 3K output tokens

Codestral 2508$0.018Fits in one request
Kimi K2.7 Code$0.059Fits in one request

Codestral 2508 costs less

Agent loop

200K input + 10K output tokens

Codestral 2508$0.069Fits in one request
Kimi K2.7 Code$0.230Fits in one request

Codestral 2508 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 Codestral 2508 and Kimi K2.7 Code
SpecificationMistral Codestral 2508MoonshotAI Kimi K2.7 Code
MakerMistral AIMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedAugust 1, 2025June 12, 2026
Context window256K262K
Input $/Mtok$0.30$0.95
Output $/Mtok$0.90$4.00
Coding indexNot benchmarked53.4
Independent measurements behind it04
Cost per solved taskNot computable$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is Codestral 2508 better than Kimi K2.7 Code for coding?

Only Kimi K2.7 Code has a coding score, 53.4 on the Vibe Coding Index; Codestral 2508 has none, so the two cannot be ranked on coding. Codestral 2508 has the edge where output tokens cost 4.4x less.

Which is cheaper, Codestral 2508 or Kimi K2.7 Code?

Codestral 2508 costs $0.30 per million input tokens and $0.90 per million output tokens; Kimi K2.7 Code costs $0.95 and $4.00. Cost per solved task is known for Kimi K2.7 Code only.

Which has the bigger context window, Codestral 2508 or Kimi K2.7 Code?

Kimi K2.7 Code, with 262K tokens against 256K.

How many benchmarks is the Codestral 2508 vs Kimi K2.7 Code comparison based on?

7 benchmarks have a result for both models as of October 21, 2026. Codestral 2508's coding index rests on 0 independent benchmarks and Kimi K2.7 Code's on 4. Where only one model has a result, the page says so instead of naming a winner.

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