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Codestral 2508 vs Mistral Large 3 2512

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
Mistral Large 3 2512Mistral AI
Coding
No data
Overall
9.3
Output $/M
$1.50
7
vs boards won of 7 shared

Decision reading

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

Codestral 2508 has the edge where output tokens cost 1.7x less, and where what matters is ALE-Bench or Design Arena: websites, where it leads.

Shared results
7
Codestral 2508 only
0
Mistral Large 3 2512 only
21
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, Mistral Large 3 2512 not benchmarked.
Widest category
Web design, 14.1 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: websites: Codestral 2508 1013 against Mistral Large 3 2512 1162, 18.6 points apart on a 0 to 100 scale.
Output price
Codestral 2508 $0.90 against Mistral Large 3 2512 $1.50 per million output tokens, 1.7x apart.
Context window
Codestral 2508 takes 256K 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
CategoryCodestral 2508BarsMistral Large 3 2512Ties
Coding01
Web design06
All shared boards07
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Codestral 2508 and Mistral Large 3 2512
BenchmarkCodestral 2508Mistral Large 3 2512Leader
AA Coding IndexNot measured20.1Only Mistral Large 3 2512 measured
LiveCodeBench (Vals AI)Not measured55.3%Only Mistral Large 3 2512 measured
SWE-bench Verified (Vals AI)Not measured41.4%Only Mistral Large 3 2512 measured
ALE-Bench137.8264.7Mistral Large 3 2512
Neither model has a result on the other 34 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Codestral 2508 and Mistral Large 3 2512
BenchmarkCodestral 2508Mistral Large 3 2512Leader
AA Intelligence IndexNot measured9.3Only Mistral Large 3 2512 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Codestral 2508 and Mistral Large 3 2512
BenchmarkCodestral 2508Mistral Large 3 2512Leader
AA Agentic IndexNot measured1.0Only Mistral Large 3 2512 measured
Neither model has a result on the other 38 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Reasoning benchmarks for Codestral 2508 and Mistral Large 3 2512
BenchmarkCodestral 2508Mistral Large 3 2512Leader
GPQA DiamondNot measured68.4%Only Mistral Large 3 2512 measured
MMMU Pro (Vals AI)Not measured66.2%Only Mistral Large 3 2512 measured
Neither model has a result on the other 19 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for Codestral 2508 and Mistral Large 3 2512
BenchmarkCodestral 2508Mistral Large 3 2512Leader
AIMENot measured42.9%Only Mistral Large 3 2512 measured
MGSM (Vals AI)Not measured85.4%Only Mistral Large 3 2512 measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Knowledge benchmarks for Codestral 2508 and Mistral Large 3 2512
BenchmarkCodestral 2508Mistral Large 3 2512Leader
MMLU ProNot measured79.8%Only Mistral Large 3 2512 measured
LegalBench (Vals AI)Not measured79.1%Only Mistral Large 3 2512 measured
CaseLaw (Vals AI)Not measured61.4%Only Mistral Large 3 2512 measured
CorpFin (Vals AI)Not measured61.0%Only Mistral Large 3 2512 measured
TaxEval (Vals AI)Not measured73.1%Only Mistral Large 3 2512 measured
MortgageTax (Vals AI)Not measured52.1%Only Mistral Large 3 2512 measured
MedQA (Vals AI)Not measured82.2%Only Mistral Large 3 2512 measured
Neither model has a result on the other 10 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for Codestral 2508 and Mistral Large 3 2512
BenchmarkCodestral 2508Mistral Large 3 2512Leader
Design Arena: websites10131162Mistral Large 3 2512
Design Arena: UI components10171102Mistral Large 3 2512
Design Arena: game dev9681080Mistral Large 3 2512
Design Arena: data viz10171136Mistral Large 3 2512
Design Arena: 3D10201099Mistral Large 3 2512
Design Arena: all code categories10071142Mistral 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 index3 boards, none shared
General benchmarks for Codestral 2508 and Mistral Large 3 2512
BenchmarkCodestral 2508Mistral Large 3 2512Leader
SAGE (Vals AI)Not measured24.6%Only Mistral Large 3 2512 measured
DTBenchNot measured65.1%Only Mistral Large 3 2512 measured
LMCANot measured16.7%Only Mistral Large 3 2512 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 Mistral Large 3 2512
BenchmarkCodestral 2508Mistral 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

Codestral 2508$0.0008Fits in one request
Mistral Large 3 2512$0.0013Fits in one request

Codestral 2508 costs less

Repository review

50K input + 3K output tokens

Codestral 2508$0.018Fits in one request
Mistral Large 3 2512$0.029Fits in one request

Codestral 2508 costs less

Agent loop

200K input + 10K output tokens

Codestral 2508$0.069Fits in one request
Mistral Large 3 2512$0.115Fits 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 Mistral Large 3 2512
SpecificationMistral Codestral 2508Mistral Large 3 2512
MakerMistral AIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 1, 2025December 1, 2025
Context window256K262K
Input $/Mtok$0.30$0.50
Output $/Mtok$0.90$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.77
SourceOpenRouter listingOpenRouter listing

Questions

Is Codestral 2508 better than Mistral Large 3 2512 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Codestral 2508 has the edge where output tokens cost 1.7x less, and where what matters is ALE-Bench or Design Arena: websites, where it leads.

Which is cheaper, Codestral 2508 or Mistral Large 3 2512?

Codestral 2508 costs $0.30 per million input tokens and $0.90 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, Codestral 2508 or Mistral Large 3 2512?

Mistral Large 3 2512, with 262K tokens against 256K.

How many benchmarks is the Codestral 2508 vs Mistral Large 3 2512 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 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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