Mistral Small 3 vs Qwen-Plus
Updated October 21, 2026. 23 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Mistral Small 3 has the edge where output tokens cost 9.8x less, and where what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 23
- Mistral Small 3 only
- 13
- Qwen-Plus only
- 5
- Like-for-like categories
- 5 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
Intelligence
AA Intelligence Index
No call
Only Mistral Small 3 has a AA Intelligence Index result, 6.7.
Directional only
Long documents
Listed context window
Qwen-Plus
Qwen-Plus takes 1M tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Small 3
Mistral Small 3 $0.0001, Qwen-Plus $0.0006 per turn.
List prices
At a glance
- Coding index
- Mistral Small 3 not benchmarked, Qwen-Plus not benchmarked.
- Widest category
- Knowledge, 20.0 points apart on average over 4 shared benchmarks.
- Widest single gap
- LMArena Text: Chinese: Mistral Small 3 1204 against Qwen-Plus 1347, 23.9 points apart on a 0 to 100 scale.
- Output price
- Mistral Small 3 $0.08 against Qwen-Plus $0.78 per million output tokens, 9.8x apart.
- Context window
- Mistral Small 3 takes 33K tokens, Qwen-Plus 1M.
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 | Bars | Qwen-Plus | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 12 | ||
| All shared boards | 0 | 23 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
| Benchmark | Mistral Small 3 | Qwen-Plus | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | 25.2% | Not measured | Only Mistral Small 3 measured |
| LMArena Text: coding | 1246 | 1328 | Qwen-Plus |
| LMArena Text: software and IT | 1248 | 1343 | Qwen-Plus |
| Neither model has a result on the other 35 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Mistral Small 3 | Qwen-Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.7 | Not measured | Only Mistral Small 3 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
| Benchmark | Mistral Small 3 | Qwen-Plus | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 19.6% | Not measured | Only Mistral Small 3 measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Mistral Small 3 | Qwen-Plus | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 46.2% | Not measured | Only Mistral Small 3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 3.8% | Not measured | Only Mistral Small 3 measured |
| GPQA Diamond (Epoch AI run) | Not measured | 48.1% | Only Qwen-Plus measured |
| LMArena Text: hard prompts | 1233 | 1317 | Qwen-Plus |
| LMArena Text: expert | 1202 | 1328 | Qwen-Plus |
| LMArena Text: hard prompts in English | 1243 | 1333 | Qwen-Plus |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mistral Small 3 | Qwen-Plus | Leader |
|---|---|---|---|
| AA Math Index | 4.3 | Not measured | Only Mistral Small 3 measured |
| AIME 2025 (Artificial Analysis run) | 4.3% | Not measured | Only Mistral Small 3 measured |
| OTIS Mock AIME | Not measured | 17.8% | Only Qwen-Plus measured |
| MATH level 5 | Not measured | 65.3% | Only Qwen-Plus measured |
| LMArena Text: math | 1240 | 1326 | Qwen-Plus |
| LMArena Text: mathematical work | 1243 | 1332 | Qwen-Plus |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Mistral Small 3 | Qwen-Plus | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 65.2% | Not measured | Only Mistral Small 3 measured |
| LMArena Text: science | 1235 | 1352 | Qwen-Plus |
| LMArena Text: medicine and healthcare | 1215 | 1350 | Qwen-Plus |
| LMArena Text: legal and government | 1219 | 1349 | Qwen-Plus |
| LMArena Text: business and finance | 1205 | 1303 | Qwen-Plus |
| Neither model has a result on the other 12 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Small 3 | Qwen-Plus | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index012
| Benchmark | Mistral Small 3 | Qwen-Plus | Leader |
|---|---|---|---|
| IFBench | 26.4% | Not measured | Only Mistral Small 3 measured |
| Long context reasoning (AA-LCR) | 0.0% | Not measured | Only Mistral Small 3 measured |
| DTBench | Not measured | 81.1% | Only Qwen-Plus measured |
| LMCA | Not measured | 24.0% | Only Qwen-Plus measured |
| LMArena Text | 1234 | 1326 | Qwen-Plus |
| LMArena Text: instruction following | 1214 | 1303 | Qwen-Plus |
| LMArena Text: creative writing | 1194 | 1292 | Qwen-Plus |
| LMArena Text: English | 1256 | 1339 | Qwen-Plus |
| LMArena Text: non-English | 1198 | 1310 | Qwen-Plus |
| LMArena Text: Chinese | 1204 | 1347 | Qwen-Plus |
| LMArena Text: German | 1211 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: Japanese | 1111 | 1251 | Qwen-Plus |
| LMArena Text: Korean | 1188 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: French | 1204 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: Russian | 1216 | 1323 | Qwen-Plus |
| LMArena Text: multi-turn | 1217 | 1336 | Qwen-Plus |
| LMArena Text: longer queries | 1246 | 1324 | Qwen-Plus |
| LMArena Text: writing and language | 1214 | 1296 | Qwen-Plus |
| LMArena Text: entertainment and media | 1184 | 1270 | Qwen-Plus |
| Neither model has a result on the other 27 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Small 3 | Qwen-Plus | 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 costs less
Repository review
50K input + 3K output tokens
Mistral Small 3 costs less
Agent loop
200K input + 10K output tokens
Mistral Small 3 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 | Qwen-Plus |
|---|---|---|
| Maker | Mistral AI | Qwen |
| Weights | Open weights | No public weights listed |
| Released | January 30, 2025 | February 1, 2025 |
| Context window | 33K | 1M |
| Input $/Mtok | $0.05 | $0.26 |
| Output $/Mtok | $0.08 | $0.78 |
| 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 better than Qwen-Plus for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Mistral Small 3 has the edge where output tokens cost 9.8x less, and where what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, Mistral Small 3 or Qwen-Plus?
Mistral Small 3 costs $0.05 per million input tokens and $0.08 per million output tokens; Qwen-Plus costs $0.26 and $0.78. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Small 3 or Qwen-Plus?
Qwen-Plus, with 1M tokens against 33K.
How many benchmarks is the Mistral Small 3 vs Qwen-Plus comparison based on?
23 benchmarks have a result for both models as of October 21, 2026. Mistral Small 3's coding index rests on 0 independent benchmarks and Qwen-Plus's on 0. Where only one model has a result, the page says so instead of naming a winner.