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Codestral 2508 vs Mistral Small 3.2 24B

Updated October 21, 2026. 5 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Codestral 2508 Replace Mistral Small 3.2 24B
Codestral 2508Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.90
5
Mistral Small 3.2 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.30
0
vs boards won of 5 shared

Decision reading

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

Compare them on price, context and the boards below.

Model ACodestral 2508Mistral AINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Small 3.2 24BMistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
5
Codestral 2508 only
2
Mistral Small 3.2 24B only
0
Like-for-like categories
1 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, Mistral Small 3.2 24B not benchmarked.
Widest category
Web design, 12.4 points apart on average over 5 shared benchmarks.
Widest single gap
Design Arena: websites: Codestral 2508 1013 against Mistral Small 3.2 24B 896, 14.6 points apart on a 0 to 100 scale.
Output price
Codestral 2508 $0.90 against Mistral Small 3.2 24B $0.30 per million output tokens, 3.0x apart.
Context window
Both take 256K tokens.

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 2508BarsMistral Small 3.2 24BTies
Web design50
All shared boards50
CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board, none shared
Coding benchmarks for Codestral 2508 and Mistral Small 3.2 24B
BenchmarkCodestral 2508Mistral Small 3.2 24BLeader
ALE-Bench137.8Not measuredOnly Codestral 2508 measured
Neither model has a result on the other 37 boards here
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Intelligence benchmarks for Codestral 2508 and Mistral Small 3.2 24B
BenchmarkCodestral 2508Mistral Small 3.2 24BLeader
Neither model has a result on 2 boards here
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for Codestral 2508 and Mistral Small 3.2 24B
BenchmarkCodestral 2508Mistral Small 3.2 24BLeader
Neither model has a result on 39 boards here
ReasoningNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Reasoning benchmarks for Codestral 2508 and Mistral Small 3.2 24B
BenchmarkCodestral 2508Mistral Small 3.2 24BLeader
Neither model has a result on 21 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Codestral 2508 and Mistral Small 3.2 24B
BenchmarkCodestral 2508Mistral Small 3.2 24BLeader
Neither model has a result on 13 boards here
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Knowledge benchmarks for Codestral 2508 and Mistral Small 3.2 24B
BenchmarkCodestral 2508Mistral Small 3.2 24BLeader
Neither model has a result on 17 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for Codestral 2508 and Mistral Small 3.2 24B
BenchmarkCodestral 2508Mistral Small 3.2 24BLeader
Design Arena: websites1013896Codestral 2508
Design Arena: UI components1017907Codestral 2508
Design Arena: game dev968888Codestral 2508
Design Arena: data viz1017929Codestral 2508
Design Arena: 3D1020Not measuredOnly Codestral 2508 measured
Design Arena: all code categories1007907Codestral 2508
Neither model has a result on the other 3 boards here
GeneralNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
General benchmarks for Codestral 2508 and Mistral Small 3.2 24B
BenchmarkCodestral 2508Mistral Small 3.2 24BLeader
Neither model has a result on 46 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Codestral 2508 and Mistral Small 3.2 24B
BenchmarkCodestral 2508Mistral Small 3.2 24BLeader
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
Mistral Small 3.2 24B$0.0003Fits in one request

Mistral Small 3.2 24B costs less

Repository review

50K input + 3K output tokens

Codestral 2508$0.018Fits in one request
Mistral Small 3.2 24B$0.0059Fits in one request

Mistral Small 3.2 24B costs less

Agent loop

200K input + 10K output tokens

Codestral 2508$0.069Fits in one request
Mistral Small 3.2 24B$0.023Fits in one request

Mistral Small 3.2 24B 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 Mistral Small 3.2 24B
SpecificationMistral Codestral 2508Mistral Small 3.2 24B
MakerMistral AIMistral AI
WeightsNo public weights listedOpen weights
ReleasedAugust 1, 2025June 20, 2025
Context window256K256K
Input $/Mtok$0.30$0.10
Output $/Mtok$0.90$0.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Codestral 2508 better than Mistral Small 3.2 24B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Codestral 2508 or Mistral Small 3.2 24B?

Codestral 2508 costs $0.30 per million input tokens and $0.90 per million output tokens; Mistral Small 3.2 24B costs $0.10 and $0.30. Cost per solved task is known for neither of them.

Which has the bigger context window, Codestral 2508 or Mistral Small 3.2 24B?

Neither: both take 256K tokens.

How many benchmarks is the Codestral 2508 vs Mistral Small 3.2 24B comparison based on?

5 benchmarks have a result for both models as of October 21, 2026. Codestral 2508's coding index rests on 0 independent benchmarks and Mistral Small 3.2 24B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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