Codestral 2508 vs Mistral Small 3.1 24B
Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.90
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.555
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Codestral 2508 has the edge where the context window is larger, 256K against 128K tokens.
- Shared results
- 0
- Codestral 2508 only
- 7
- Mistral Small 3.1 24B only
- 38
- Like-for-like categories
- 0 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Web design
Design Arena: websites
No call
Only Codestral 2508 has a Design Arena: websites result, 1013.
Directional only
Long documents
Listed context window
Codestral 2508
Codestral 2508 takes 256K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Small 3.1 24B
Codestral 2508 $0.0008, Mistral Small 3.1 24B $0.0006 per turn.
List prices
At a glance
- Coding index
- Codestral 2508 not benchmarked, Mistral Small 3.1 24B not benchmarked.
- Widest category
- No category has a result for both models.
- Widest single gap
- No benchmark has a result for both models.
- Output price
- Codestral 2508 $0.90 against Mistral Small 3.1 24B $0.555 per million output tokens, 1.6x apart.
- Context window
- Codestral 2508 takes 256K tokens, Mistral Small 3.1 24B 128K.
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.
CodingDirectional onlySix of these boards feed the Vibe Coding Index3 boards, none shared
| Benchmark | Codestral 2508 | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| ALE-Bench | 137.8 | Not measured | Only Codestral 2508 measured |
| LMArena Text: coding | Not measured | 1309 | Only Mistral Small 3.1 24B measured |
| LMArena Text: software and IT | Not measured | 1301 | Only Mistral Small 3.1 24B measured |
| Neither model has a result on the other 35 boards here | |||
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Codestral 2508 | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| Neither model has a result on 2 boards here | |||
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Codestral 2508 | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| Neither model has a result on 39 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Codestral 2508 | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| LMArena Text: hard prompts | Not measured | 1278 | Only Mistral Small 3.1 24B measured |
| LMArena Text: expert | Not measured | 1257 | Only Mistral Small 3.1 24B measured |
| LMArena Text: hard prompts in English | Not measured | 1290 | Only Mistral Small 3.1 24B measured |
| LMArena Vision: diagrams | Not measured | 1119 | Only Mistral Small 3.1 24B measured |
| LMArena Vision: homework | Not measured | 1158 | Only Mistral Small 3.1 24B measured |
| Neither model has a result on the other 16 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Codestral 2508 | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| LMArena Text: math | Not measured | 1261 | Only Mistral Small 3.1 24B measured |
| LMArena Text: mathematical work | Not measured | 1271 | Only Mistral Small 3.1 24B measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Codestral 2508 | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| LMArena Text: science | Not measured | 1265 | Only Mistral Small 3.1 24B measured |
| LMArena Text: medicine and healthcare | Not measured | 1267 | Only Mistral Small 3.1 24B measured |
| LMArena Text: legal and government | Not measured | 1271 | Only Mistral Small 3.1 24B measured |
| LMArena Text: business and finance | Not measured | 1257 | Only Mistral Small 3.1 24B measured |
| Neither model has a result on the other 13 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Codestral 2508 | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| Design Arena: websites | 1013 | Not measured | Only Codestral 2508 measured |
| Design Arena: UI components | 1017 | Not measured | Only Codestral 2508 measured |
| Design Arena: game dev | 968 | Not measured | Only Codestral 2508 measured |
| Design Arena: data viz | 1017 | Not measured | Only Codestral 2508 measured |
| Design Arena: 3D | 1020 | Not measured | Only Codestral 2508 measured |
| Design Arena: all code categories | 1007 | Not measured | Only Codestral 2508 measured |
| Neither model has a result on the other 3 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index25 boards, none shared
| Benchmark | Codestral 2508 | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| LMArena Text | Not measured | 1277 | Only Mistral Small 3.1 24B measured |
| LMArena Text: instruction following | Not measured | 1263 | Only Mistral Small 3.1 24B measured |
| LMArena Text: creative writing | Not measured | 1252 | Only Mistral Small 3.1 24B measured |
| LMArena Vision | Not measured | 1136 | Only Mistral Small 3.1 24B measured |
| LMArena Text: English | Not measured | 1295 | Only Mistral Small 3.1 24B measured |
| LMArena Text: non-English | Not measured | 1255 | Only Mistral Small 3.1 24B measured |
| LMArena Text: Chinese | Not measured | 1253 | Only Mistral Small 3.1 24B measured |
| LMArena Text: German | Not measured | 1266 | Only Mistral Small 3.1 24B measured |
| LMArena Text: Japanese | Not measured | 1208 | Only Mistral Small 3.1 24B measured |
| LMArena Text: Korean | Not measured | 1207 | Only Mistral Small 3.1 24B measured |
| LMArena Text: French | Not measured | 1273 | Only Mistral Small 3.1 24B measured |
| LMArena Text: Spanish | Not measured | 1284 | Only Mistral Small 3.1 24B measured |
| LMArena Text: Russian | Not measured | 1263 | Only Mistral Small 3.1 24B measured |
| LMArena Text: Polish | Not measured | 1242 | Only Mistral Small 3.1 24B measured |
| LMArena Text: multi-turn | Not measured | 1270 | Only Mistral Small 3.1 24B measured |
| LMArena Text: longer queries | Not measured | 1299 | Only Mistral Small 3.1 24B measured |
| LMArena Text: writing and language | Not measured | 1268 | Only Mistral Small 3.1 24B measured |
| LMArena Text: entertainment and media | Not measured | 1250 | Only Mistral Small 3.1 24B measured |
| LMArena Vision: English | Not measured | 1157 | Only Mistral Small 3.1 24B measured |
| LMArena Vision: Chinese | Not measured | 1155 | Only Mistral Small 3.1 24B measured |
| LMArena Vision: reading text | Not measured | 1132 | Only Mistral Small 3.1 24B measured |
| LMArena Vision: humor | Not measured | 1142 | Only Mistral Small 3.1 24B measured |
| LMArena Vision: captioning | Not measured | 1153 | Only Mistral Small 3.1 24B measured |
| LMArena Vision: recognizing things | Not measured | 1155 | Only Mistral Small 3.1 24B measured |
| LMArena Vision: creative writing | Not measured | 1123 | Only Mistral Small 3.1 24B measured |
| Neither model has a result on the other 21 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Codestral 2508 | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| 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
Mistral Small 3.1 24B costs less
Repository review
50K input + 3K output tokens
Codestral 2508 costs less
Agent loop
200K input + 10K output tokens
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.
| Specification | Mistral Codestral 2508 | Mistral Small 3.1 24B |
|---|---|---|
| Maker | Mistral AI | Mistral AI |
| Weights | No public weights listed | Open weights |
| Released | August 1, 2025 | March 17, 2025 |
| Context window | 256K | 128K |
| Input $/Mtok | $0.30 | $0.351 |
| Output $/Mtok | $0.90 | $0.555 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Codestral 2508 better than Mistral Small 3.1 24B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Codestral 2508 has the edge where the context window is larger, 256K against 128K tokens.
Which is cheaper, Codestral 2508 or Mistral Small 3.1 24B?
Codestral 2508 costs $0.30 per million input tokens and $0.90 per million output tokens; Mistral Small 3.1 24B costs $0.351 and $0.555. Cost per solved task is known for neither of them.
Which has the bigger context window, Codestral 2508 or Mistral Small 3.1 24B?
Codestral 2508, with 256K tokens against 128K.
How many benchmarks is the Codestral 2508 vs Mistral Small 3.1 24B comparison based on?
0 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 3.1 24B's on 0. Where only one model has a result, the page says so instead of naming a winner.