Mistral Medium 3.1 vs Qwen3 30B A3B
Mistral Medium 3.1 leads Qwen3 30B A3B on the Artificial Analysis Intelligence Index, 9.2 to 7.6, and Qwen3 30B A3B costs 4.0x less per output token ($0.50 vs $2.00 per million). Updated October 22, 2026; 46 benchmarks have a result for both.
Mistral Medium 3.1 or Qwen3 30B A3B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Mistral Medium 3.1 for a larger context window (131K against 41K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or GPQA Diamond (Artificial Analysis run), where it leads.
- Shared results
- 46
- Mistral Medium 3.1 only
- 28
- Qwen3 30B A3B only
- 6
- Like-for-like categories
- 8 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
Intelligence
AA Intelligence Index
Mistral Medium 3.1
Mistral Medium 3.1 leads, 9.2 against 7.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Mistral Medium 3.1 has a AA Agentic Index result, 1.9.
Directional only
Math
AIME
No call
Only Mistral Medium 3.1 has a AIME result, 42.3%.
Directional only
Knowledge
MMLU Pro
No call
Only Mistral Medium 3.1 has a MMLU Pro result, 75.3%.
Directional only
Web design
Design Arena: websites
Mistral Medium 3.1
Mistral Medium 3.1 leads, 1132 against 954.
Same board, both measured
Long documents
Listed context window
Mistral Medium 3.1
Mistral Medium 3.1 takes 131K tokens against 41K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 30B A3B
Mistral Medium 3.1 $0.0014, Qwen3 30B A3B $0.0004 per turn.
List prices
At a glance
- Coding index
- Mistral Medium 3.1 not benchmarked, Qwen3 30B A3B not benchmarked.
- Widest category
- Web design, 21.6 points apart on average over 5 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Mistral Medium 3.1 42.7% against Qwen3 30B A3B 0.0%, 42.7 points apart on a 0 to 100 scale.
- Output price
- Mistral Medium 3.1 $2.00 against Qwen3 30B A3B $0.50 per million output tokens, 4.0x apart.
- Context window
- Mistral Medium 3.1 takes 131K tokens, Qwen3 30B A3B 41K.
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 Medium 3.1 | Bars | Qwen3 30B A3B | Ties |
|---|---|---|---|---|
| Coding | 3 | 1 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 3 | 2 | ||
| Math | 2 | 2 | ||
| Knowledge | 4 | 1 | ||
| Web design | 5 | 0 | ||
| General | 20 | 1 | ||
| All shared boards | 39 | 7 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
| Benchmark | Mistral Medium 3.1 | Qwen3 30B A3B | Leader |
|---|---|---|---|
| AA Coding Index | 20.5 | Not measured | Only Mistral Medium 3.1 measured |
| LiveCodeBench (Vals AI) | 44.8% | Not measured | Only Mistral Medium 3.1 measured |
| LiveCodeBench (Artificial Analysis run) | 40.6% | 50.6% | Qwen3 30B A3B |
| SciCode | 32.4% | Not measured | Only Mistral Medium 3.1 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 10.6% | 6.8% | Mistral Medium 3.1 |
| WeirdML | Not measured | 29.8% | Only Qwen3 30B A3B measured |
| ALE-Bench | 210.2 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Text: coding | 1433 | 1337 | Mistral Medium 3.1 |
| LMArena Text: software and IT | 1436 | 1340 | Mistral Medium 3.1 |
| Neither model has a result on the other 30 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Mistral Medium 3.1 | Qwen3 30B A3B | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.2 | 7.6 | Mistral Medium 3.1 |
| Epoch Capabilities Index | Not measured | 137.3 | Only Qwen3 30B A3B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Mistral Medium 3.1 | Qwen3 30B A3B | Leader |
|---|---|---|---|
| AA Agentic Index | 1.9 | Not measured | Only Mistral Medium 3.1 measured |
| τ²-Bench Telecom | 40.6% | 26.0% | Mistral Medium 3.1 |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Mistral Medium 3.1 | Qwen3 30B A3B | Leader |
|---|---|---|---|
| MMMU Pro (Vals AI) | 63.0% | Not measured | Only Mistral Medium 3.1 measured |
| GPQA Diamond (Artificial Analysis run) | 58.8% | 61.6% | Qwen3 30B A3B |
| Humanity's Last Exam (Artificial Analysis run) | 4.7% | 6.2% | Qwen3 30B A3B |
| GPQA Diamond (Epoch AI run) | Not measured | 61.7% | Only Qwen3 30B A3B measured |
| LMArena Text: hard prompts | 1426 | 1314 | Mistral Medium 3.1 |
| LMArena Text: expert | 1408 | 1314 | Mistral Medium 3.1 |
| LMArena Text: hard prompts in English | 1435 | 1329 | Mistral Medium 3.1 |
| LMArena Vision: diagrams | 1175 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: homework | 1165 | Not measured | Only Mistral Medium 3.1 measured |
| Neither model has a result on the other 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | Mistral Medium 3.1 | Qwen3 30B A3B | Leader |
|---|---|---|---|
| AIME | 42.3% | Not measured | Only Mistral Medium 3.1 measured |
| MATH 500 (Vals AI) | 87.0% | Not measured | Only Mistral Medium 3.1 measured |
| MGSM (Vals AI) | 90.9% | Not measured | Only Mistral Medium 3.1 measured |
| AA Math Index | 38.3 | 72.3 | Qwen3 30B A3B |
| AIME 2025 (Artificial Analysis run) | 38.3% | 72.3% | Qwen3 30B A3B |
| OTIS Mock AIME | Not measured | 62.8% | Only Qwen3 30B A3B measured |
| LMArena Text: math | 1408 | 1355 | Mistral Medium 3.1 |
| LMArena Text: mathematical work | 1412 | 1363 | Mistral Medium 3.1 |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Mistral Medium 3.1 | Qwen3 30B A3B | Leader |
|---|---|---|---|
| MMLU Pro | 75.3% | Not measured | Only Mistral Medium 3.1 measured |
| LegalBench (Vals AI) | 62.0% | Not measured | Only Mistral Medium 3.1 measured |
| CorpFin (Vals AI) | 50.7% | Not measured | Only Mistral Medium 3.1 measured |
| TaxEval (Vals AI) | 70.3% | Not measured | Only Mistral Medium 3.1 measured |
| MortgageTax (Vals AI) | 36.5% | Not measured | Only Mistral Medium 3.1 measured |
| MedQA (Vals AI) | 78.2% | Not measured | Only Mistral Medium 3.1 measured |
| MMLU Pro (Artificial Analysis run) | 68.3% | 77.7% | Qwen3 30B A3B |
| LMArena Text: science | 1444 | 1321 | Mistral Medium 3.1 |
| LMArena Text: medicine and healthcare | 1449 | 1318 | Mistral Medium 3.1 |
| LMArena Text: legal and government | 1439 | 1314 | Mistral Medium 3.1 |
| LMArena Text: business and finance | 1418 | 1309 | Mistral Medium 3.1 |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Mistral Medium 3.1 | Qwen3 30B A3B | Leader |
|---|---|---|---|
| Design Arena: websites | 1132 | 954 | Mistral Medium 3.1 |
| Design Arena: UI components | 1097 | 943 | Mistral Medium 3.1 |
| Design Arena: game dev | 1073 | 898 | Mistral Medium 3.1 |
| Design Arena: data viz | 1144 | 967 | Mistral Medium 3.1 |
| Design Arena: 3D | 1081 | Not measured | Only Mistral Medium 3.1 measured |
| Design Arena: all code categories | 1120 | 941 | Mistral Medium 3.1 |
| Design Arena: SVG | 992 | Not measured | Only Mistral Medium 3.1 measured |
| Design Arena: ASCII art | 997 | Not measured | Only Mistral Medium 3.1 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index201
| Benchmark | Mistral Medium 3.1 | Qwen3 30B A3B | Leader |
|---|---|---|---|
| IFBench | 39.8% | 41.5% | Qwen3 30B A3B |
| Long context reasoning (AA-LCR) | 42.7% | 0.0% | Mistral Medium 3.1 |
| DTBench | 67.5% | 60.3% | Mistral Medium 3.1 |
| LMCA | 19.1% | 15.8% | Mistral Medium 3.1 |
| Fiction.LiveBench | Not measured | 40.6% | Only Qwen3 30B A3B measured |
| Creative writing (Lech Mazur) | Not measured | 75.3% | Only Qwen3 30B A3B measured |
| LMArena Text | 1424 | 1317 | Mistral Medium 3.1 |
| LMArena Text: instruction following | 1398 | 1283 | Mistral Medium 3.1 |
| LMArena Text: creative writing | 1391 | 1271 | Mistral Medium 3.1 |
| LMArena Vision | 1172 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Text: English | 1438 | 1335 | Mistral Medium 3.1 |
| LMArena Text: non-English | 1408 | 1295 | Mistral Medium 3.1 |
| LMArena Text: Chinese | 1447 | 1347 | Mistral Medium 3.1 |
| LMArena Text: German | 1432 | 1307 | Mistral Medium 3.1 |
| LMArena Text: Japanese | 1379 | 1254 | Mistral Medium 3.1 |
| LMArena Text: Korean | 1380 | 1261 | Mistral Medium 3.1 |
| LMArena Text: French | 1460 | 1352 | Mistral Medium 3.1 |
| LMArena Text: Spanish | 1433 | 1317 | Mistral Medium 3.1 |
| LMArena Text: Russian | 1411 | 1291 | Mistral Medium 3.1 |
| LMArena Text: Polish | 1430 | 1299 | Mistral Medium 3.1 |
| LMArena Text: multi-turn | 1418 | 1307 | Mistral Medium 3.1 |
| LMArena Text: longer queries | 1406 | 1312 | Mistral Medium 3.1 |
| LMArena Text: writing and language | 1395 | 1290 | Mistral Medium 3.1 |
| LMArena Text: entertainment and media | 1390 | 1258 | Mistral Medium 3.1 |
| LMArena Vision: English | 1179 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: Chinese | 1190 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: reading text | 1175 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: humor | 1168 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: captioning | 1145 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: recognizing things | 1147 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: creative writing | 1200 | Not measured | Only Mistral Medium 3.1 measured |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Medium 3.1 | Qwen3 30B A3B | 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
Qwen3 30B A3B costs less
Repository review
50K input + 3K output tokens
Qwen3 30B A3B costs less
Agent loop
200K input + 10K output tokens
Qwen3 30B A3B 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 Medium 3.1 | Qwen3 30B A3B |
|---|---|---|
| Maker | Mistral AI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | August 13, 2025 | April 28, 2025 |
| Context window | 131K | 41K |
| Input $/Mtok | $0.40 | $0.12 |
| Output $/Mtok | $2.00 | $0.50 |
| 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 Medium 3.1 better than Qwen3 30B A3B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Medium 3.1 for a larger context window (131K against 41K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or GPQA Diamond (Artificial Analysis run), where it leads.
Which is cheaper, Mistral Medium 3.1 or Qwen3 30B A3B?
Mistral Medium 3.1 costs $0.40 per million input tokens and $2.00 per million output tokens; Qwen3 30B A3B costs $0.12 and $0.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Medium 3.1 or Qwen3 30B A3B?
Mistral Medium 3.1, with 131K tokens against 41K.
How many benchmarks is the Mistral Medium 3.1 vs Qwen3 30B A3B comparison based on?
46 benchmarks have a result for both models as of October 22, 2026. Mistral Medium 3.1's coding index rests on 0 independent benchmarks and Qwen3 30B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.