Mistral Medium 3.1 vs Qwen3.6 Plus
Qwen3.6 Plus leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 27.0 to 9.2, at about the same output price ($1.95 vs $2.00 per million). Updated October 21, 2026; 55 benchmarks have a result for both.
Mistral Medium 3.1 or Qwen3.6 Plus: which to pick
Only Qwen3.6 Plus has a coding score, 44.1 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding.
Pick Mistral Medium 3.1 for work measured by LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.
- Shared results
- 55
- Mistral Medium 3.1 only
- 19
- Qwen3.6 Plus only
- 28
- 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
Only Qwen3.6 Plus has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Qwen3.6 Plus
Qwen3.6 Plus leads, 27.0 against 9.2.
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
Reasoning
GPQA Diamond
No call
Only Qwen3.6 Plus has a GPQA Diamond result, 87.4%.
Directional only
Math
AIME
Qwen3.6 Plus
Qwen3.6 Plus leads, 94.6% against 42.3%.
Same board, both measured
Knowledge
MMLU Pro
Qwen3.6 Plus
Qwen3.6 Plus leads, 87.7% against 75.3%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.6 Plus
Qwen3.6 Plus leads, 1243 against 1133.
Same board, both measured
Long documents
Listed context window
Qwen3.6 Plus
Qwen3.6 Plus takes 1M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.6 Plus
Mistral Medium 3.1 $0.0014, Qwen3.6 Plus $0.0013 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.6 Plus has the number, $1.19.
Directional only
At a glance
- Coding index
- Mistral Medium 3.1 not benchmarked, Qwen3.6 Plus 44.1 from 3 benchmarks.
- Widest category
- Agentic work, 57.0 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Mistral Medium 3.1 40.6% against Qwen3.6 Plus 97.7%, 57.0 points apart on a 0 to 100 scale.
- Output price
- Mistral Medium 3.1 $2.00 against Qwen3.6 Plus $1.95 per million output tokens, 1.0x apart.
- Context window
- Mistral Medium 3.1 takes 131K tokens, Qwen3.6 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 Medium 3.1 | Bars | Qwen3.6 Plus | Ties |
|---|---|---|---|---|
| Coding | 0 | 6 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 6 | ||
| Math | 0 | 3 | ||
| Knowledge | 3 | 6 | ||
| Web design | 0 | 8 | ||
| General | 3 | 18 | ||
| All shared boards | 6 | 49 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
| Benchmark | Mistral Medium 3.1 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1461 | Only Qwen3.6 Plus measured |
| AA Coding Index | 20.5 | 54.5 | Qwen3.6 Plus |
| LiveCodeBench (Vals AI) | 44.8% | 86.0% | Qwen3.6 Plus |
| SWE-bench Verified (Vals AI) | Not measured | 73.4% | Only Qwen3.6 Plus measured |
| Vibe Code Bench (Vals AI) | Not measured | 25.6% | Only Qwen3.6 Plus measured |
| Code migration (Vals AI) | Not measured | 11.1% | Only Qwen3.6 Plus measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Qwen3.6 Plus measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 53.2% | Only Qwen3.6 Plus measured |
| LiveCodeBench (Artificial Analysis run) | 40.6% | Not measured | Only Mistral Medium 3.1 measured |
| SciCode | 32.4% | Not measured | Only Mistral Medium 3.1 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 10.6% | 43.9% | Qwen3.6 Plus |
| ALE-Bench | 210.2 | 670.1 | Qwen3.6 Plus |
| LMArena Text: coding | 1433 | 1467 | Qwen3.6 Plus |
| LMArena Text: software and IT | 1436 | 1462 | Qwen3.6 Plus |
| LMArena WebDev: React | Not measured | 1454 | Only Qwen3.6 Plus measured |
| LMArena WebDev: HTML | Not measured | 1463 | Only Qwen3.6 Plus measured |
| LMArena WebDev: from an image | Not measured | 1472 | Only Qwen3.6 Plus measured |
| Neither model has a result on the other 22 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Medium 3.1 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.2 | 27.0 | Qwen3.6 Plus |
| Epoch Capabilities Index | Not measured | 147.3 | Only Qwen3.6 Plus measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Medium 3.1 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | 1.9 | Not measured | Only Mistral Medium 3.1 measured |
| Finance Agent (Vals AI) | Not measured | 40.9% | Only Qwen3.6 Plus measured |
| Tax Agent Bench (Vals AI) | Not measured | 7.7% | Only Qwen3.6 Plus measured |
| Legal Research Bench (Vals AI) | Not measured | 14.9% | Only Qwen3.6 Plus measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 32.9% | Only Qwen3.6 Plus measured |
| τ²-Bench Telecom | 40.6% | 97.7% | Qwen3.6 Plus |
| Vending-Bench 2 | Not measured | $5,115 | Only Qwen3.6 Plus measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Mistral Medium 3.1 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 87.4% | Only Qwen3.6 Plus measured |
| MMMU Pro (Vals AI) | 63.0% | 84.2% | Qwen3.6 Plus |
| GPQA Diamond (Artificial Analysis run) | 58.8% | 88.2% | Qwen3.6 Plus |
| Humanity's Last Exam (Artificial Analysis run) | 4.7% | 27.8% | Qwen3.6 Plus |
| GPQA Diamond (Epoch AI run) | Not measured | 88.4% | Only Qwen3.6 Plus measured |
| Chess puzzles | Not measured | 14.0% | Only Qwen3.6 Plus measured |
| Mystery game puzzles | Not measured | 12.0% | Only Qwen3.6 Plus measured |
| LMArena Text: hard prompts | 1426 | 1448 | Qwen3.6 Plus |
| LMArena Text: expert | 1408 | 1454 | Qwen3.6 Plus |
| LMArena Text: hard prompts in English | 1435 | 1455 | Qwen3.6 Plus |
| 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 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Mistral Medium 3.1 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AIME | 42.3% | 94.6% | Qwen3.6 Plus |
| 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 | Not measured | Only Mistral Medium 3.1 measured |
| AIME 2025 (Artificial Analysis run) | 38.3% | Not measured | Only Mistral Medium 3.1 measured |
| OTIS Mock AIME | Not measured | 93.3% | Only Qwen3.6 Plus measured |
| FrontierMath, tiers 1 to 3 | Not measured | 38.2% | Only Qwen3.6 Plus measured |
| LMArena Text: math | 1408 | 1449 | Qwen3.6 Plus |
| LMArena Text: mathematical work | 1412 | 1448 | Qwen3.6 Plus |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index36
| Benchmark | Mistral Medium 3.1 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| MMLU Pro | 75.3% | 87.7% | Qwen3.6 Plus |
| LegalBench (Vals AI) | 62.0% | 84.2% | Qwen3.6 Plus |
| CaseLaw (Vals AI) | Not measured | 51.5% | Only Qwen3.6 Plus measured |
| CorpFin (Vals AI) | 50.7% | 61.9% | Qwen3.6 Plus |
| TaxEval (Vals AI) | 70.3% | 74.7% | Qwen3.6 Plus |
| MortgageTax (Vals AI) | 36.5% | 68.0% | Qwen3.6 Plus |
| MedQA (Vals AI) | 78.2% | Not measured | Only Mistral Medium 3.1 measured |
| MedCode (Vals AI) | Not measured | 36.9% | Only Qwen3.6 Plus measured |
| MMLU Pro (Artificial Analysis run) | 68.3% | Not measured | Only Mistral Medium 3.1 measured |
| SimpleQA Verified | Not measured | 44.1% | Only Qwen3.6 Plus measured |
| LMArena Text: science | 1444 | 1439 | Mistral Medium 3.1 |
| LMArena Text: medicine and healthcare | 1449 | 1442 | Mistral Medium 3.1 |
| LMArena Text: legal and government | 1439 | 1437 | Mistral Medium 3.1 |
| LMArena Text: business and finance | 1418 | 1430 | Qwen3.6 Plus |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Mistral Medium 3.1 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 1133 | 1243 | Qwen3.6 Plus |
| Design Arena: UI components | 1100 | 1233 | Qwen3.6 Plus |
| Design Arena: game dev | 1074 | 1211 | Qwen3.6 Plus |
| Design Arena: data viz | 1144 | 1228 | Qwen3.6 Plus |
| Design Arena: 3D | 1081 | 1202 | Qwen3.6 Plus |
| Design Arena: all code categories | 1120 | 1236 | Qwen3.6 Plus |
| Design Arena: SVG | 993 | 1161 | Qwen3.6 Plus |
| Design Arena: ASCII art | 997 | 1113 | Qwen3.6 Plus |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index318
| Benchmark | Mistral Medium 3.1 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 44.9% | Only Qwen3.6 Plus measured |
| MedScribe (Vals AI) | Not measured | 77.0% | Only Qwen3.6 Plus measured |
| Vals Multimodal Index | Not measured | 51.5% | Only Qwen3.6 Plus measured |
| IFBench | 39.8% | 75.2% | Qwen3.6 Plus |
| Long context reasoning (AA-LCR) | 42.7% | 78.3% | Qwen3.6 Plus |
| DTBench | 67.5% | 81.9% | Qwen3.6 Plus |
| LMCA | 19.1% | 33.1% | Qwen3.6 Plus |
| CL-bench | Not measured | 20.3% | Only Qwen3.6 Plus measured |
| LMArena Text | 1424 | 1436 | Qwen3.6 Plus |
| LMArena Text: instruction following | 1398 | 1424 | Qwen3.6 Plus |
| LMArena Text: creative writing | 1391 | 1404 | Qwen3.6 Plus |
| LMArena Vision | 1172 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Text: English | 1438 | 1445 | Qwen3.6 Plus |
| LMArena Text: non-English | 1408 | 1424 | Qwen3.6 Plus |
| LMArena Text: Chinese | 1447 | 1477 | Qwen3.6 Plus |
| LMArena Text: German | 1432 | 1451 | Qwen3.6 Plus |
| LMArena Text: Japanese | 1379 | 1390 | Qwen3.6 Plus |
| LMArena Text: Korean | 1380 | 1379 | Mistral Medium 3.1 |
| LMArena Text: French | 1460 | 1455 | Mistral Medium 3.1 |
| LMArena Text: Spanish | 1433 | 1432 | Mistral Medium 3.1 |
| LMArena Text: Russian | 1411 | 1434 | Qwen3.6 Plus |
| LMArena Text: Polish | 1430 | 1433 | Qwen3.6 Plus |
| LMArena Text: multi-turn | 1418 | 1438 | Qwen3.6 Plus |
| LMArena Text: longer queries | 1406 | 1439 | Qwen3.6 Plus |
| LMArena Text: writing and language | 1395 | 1418 | Qwen3.6 Plus |
| LMArena Text: entertainment and media | 1390 | 1402 | Qwen3.6 Plus |
| 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 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Medium 3.1 | Qwen3.6 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
Qwen3.6 Plus costs less
Repository review
50K input + 3K output tokens
Qwen3.6 Plus costs less
Agent loop
200K input + 10K output tokens
Qwen3.6 Plus 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 | Qwen3.6 Plus |
|---|---|---|
| Maker | Mistral AI | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | August 13, 2025 | April 2, 2026 |
| Context window | 131K | 1M |
| Input $/Mtok | $0.40 | $0.325 |
| Output $/Mtok | $2.00 | $1.95 |
| Coding index | Not benchmarked | 44.1 |
| Independent measurements behind it | 0 | 3 |
| Cost per solved task | Not computable | $1.19 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Medium 3.1 better than Qwen3.6 Plus for coding?
Only Qwen3.6 Plus has a coding score, 44.1 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding. Pick Mistral Medium 3.1 for work measured by LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.
Which is cheaper, Mistral Medium 3.1 or Qwen3.6 Plus?
Mistral Medium 3.1 costs $0.40 per million input tokens and $2.00 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Cost per solved task is known for Qwen3.6 Plus only.
Which has the bigger context window, Mistral Medium 3.1 or Qwen3.6 Plus?
Qwen3.6 Plus, with 1M tokens against 131K.
How many benchmarks is the Mistral Medium 3.1 vs Qwen3.6 Plus comparison based on?
55 benchmarks have a result for both models as of October 21, 2026. Mistral Medium 3.1's coding index rests on 0 independent benchmarks and Qwen3.6 Plus's on 3. Where only one model has a result, the page says so instead of naming a winner.