Mistral Small 3.1 24B vs Qwen2.5 VL 72B Instruct
Mistral Small 3.1 24B costs 1.8x less per output token than Qwen2.5 VL 72B Instruct ($0.555 vs $1.00 per million). Updated October 22, 2026; 3 benchmarks have a result for both.
Mistral Small 3.1 24B or Qwen2.5 VL 72B Instruct: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Mistral Small 3.1 24B for output tokens 1.8x cheaper ($0.555 vs $1.00 per million).
- Shared results
- 3
- Mistral Small 3.1 24B only
- 35
- Qwen2.5 VL 72B Instruct only
- 3
- Like-for-like categories
- 1 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Long documents
Listed context window
No call
Both take 128K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Small 3.1 24B
Mistral Small 3.1 24B $0.0006, Qwen2.5 VL 72B Instruct $0.0013 per turn.
List prices
At a glance
- Coding index
- Mistral Small 3.1 24B not benchmarked, Qwen2.5 VL 72B Instruct not benchmarked.
- Widest category
- General, 6.6 points apart on average over 3 shared benchmarks.
- Widest single gap
- LMArena Vision: Chinese: Mistral Small 3.1 24B 1155 against Qwen2.5 VL 72B Instruct 1107, 8.0 points apart on a 0 to 100 scale.
- Output price
- Mistral Small 3.1 24B $0.555 against Qwen2.5 VL 72B Instruct $1.00 per million output tokens, 1.8x apart.
- Context window
- Both take 128K 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.
| Category | Mistral Small 3.1 24B | Bars | Qwen2.5 VL 72B Instruct | Ties |
|---|---|---|---|---|
| General | 3 | 0 | ||
| All shared boards | 3 | 0 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index2 boards, none shared
| Benchmark | Mistral Small 3.1 24B | Qwen2.5 VL 72B Instruct | Leader |
|---|---|---|---|
| LMArena Text: coding | 1309 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: software and IT | 1301 | Not measured | Only Mistral Small 3.1 24B 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
| Benchmark | Mistral Small 3.1 24B | Qwen2.5 VL 72B Instruct | Leader |
|---|---|---|---|
| Neither model has a result on 2 boards here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Mistral Small 3.1 24B | Qwen2.5 VL 72B Instruct | Leader |
|---|---|---|---|
| OSWorld | Not measured | 5.0% | Only Qwen2.5 VL 72B Instruct measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Mistral Small 3.1 24B | Qwen2.5 VL 72B Instruct | Leader |
|---|---|---|---|
| LMArena Text: hard prompts | 1278 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: expert | 1257 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: hard prompts in English | 1290 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Vision: diagrams | 1119 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Vision: homework | 1158 | Not measured | Only Mistral Small 3.1 24B measured |
| Kagi LLM Benchmark | Not measured | 36.0% | Only Qwen2.5 VL 72B Instruct 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 | Mistral Small 3.1 24B | Qwen2.5 VL 72B Instruct | Leader |
|---|---|---|---|
| LMArena Text: math | 1261 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: mathematical work | 1271 | Not measured | 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 index5 boards, none shared
| Benchmark | Mistral Small 3.1 24B | Qwen2.5 VL 72B Instruct | Leader |
|---|---|---|---|
| GeoBench | Not measured | 62.0% | Only Qwen2.5 VL 72B Instruct measured |
| LMArena Text: science | 1265 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: medicine and healthcare | 1267 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: legal and government | 1271 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: business and finance | 1257 | Not measured | Only Mistral Small 3.1 24B measured |
| Neither model has a result on the other 13 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Small 3.1 24B | Qwen2.5 VL 72B Instruct | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Mistral Small 3.1 24B | Qwen2.5 VL 72B Instruct | Leader |
|---|---|---|---|
| LMArena Text | 1277 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: instruction following | 1263 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: creative writing | 1252 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Vision | 1136 | 1107 | Mistral Small 3.1 24B |
| LMArena Text: English | 1295 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: non-English | 1255 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: Chinese | 1253 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: German | 1266 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: Japanese | 1208 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: Korean | 1207 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: French | 1273 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: Spanish | 1284 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: Russian | 1263 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: Polish | 1242 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: multi-turn | 1270 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: longer queries | 1299 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: writing and language | 1268 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: entertainment and media | 1250 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Vision: English | 1157 | 1115 | Mistral Small 3.1 24B |
| LMArena Vision: Chinese | 1155 | 1107 | Mistral Small 3.1 24B |
| LMArena Vision: reading text | 1132 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Vision: humor | 1142 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Vision: captioning | 1153 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Vision: recognizing things | 1155 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Vision: creative writing | 1123 | Not measured | 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 | Mistral Small 3.1 24B | Qwen2.5 VL 72B Instruct | 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
Mistral Small 3.1 24B costs less
Agent loop
200K input + 10K output tokens
Mistral Small 3.1 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.
| Specification | Mistral Small 3.1 24B | Qwen2.5 VL 72B Instruct |
|---|---|---|
| Maker | Mistral AI | Qwen |
| Weights | Open weights | Open weights |
| Released | March 17, 2025 | February 1, 2025 |
| Context window | 128K | 128K |
| Input $/Mtok | $0.351 | $0.80 |
| Output $/Mtok | $0.555 | $1.00 |
| 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 Mistral Small 3.1 24B better than Qwen2.5 VL 72B Instruct for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Small 3.1 24B for output tokens 1.8x cheaper ($0.555 vs $1.00 per million).
Which is cheaper, Mistral Small 3.1 24B or Qwen2.5 VL 72B Instruct?
Mistral Small 3.1 24B costs $0.351 per million input tokens and $0.555 per million output tokens; Qwen2.5 VL 72B Instruct costs $0.80 and $1.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Small 3.1 24B or Qwen2.5 VL 72B Instruct?
Neither: both take 128K tokens.
How many benchmarks is the Mistral Small 3.1 24B vs Qwen2.5 VL 72B Instruct comparison based on?
3 benchmarks have a result for both models as of October 22, 2026. Mistral Small 3.1 24B's coding index rests on 0 independent benchmarks and Qwen2.5 VL 72B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.