Mistral Medium 3 vs Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B Thinking leads Mistral Medium 3 on the Artificial Analysis Intelligence Index, 11.2 to 9.0, and Qwen3 Next 80B A3B Thinking costs 1.7x less per output token ($1.20 vs $2.00 per million). Updated October 21, 2026; 29 benchmarks have a result for both.
Mistral Medium 3 or Qwen3 Next 80B A3B Thinking: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Mistral Medium 3 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 29
- Mistral Medium 3 only
- 28
- Qwen3 Next 80B A3B Thinking only
- 1
- Like-for-like categories
- 6 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
Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B Thinking leads, 11.2 against 9.0.
Same board, both measured
Web design
Design Arena: websites
No call
Only Mistral Medium 3 has a Design Arena: websites result, 1079.
Directional only
Long documents
Listed context window
Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B Thinking takes 262K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 Next 80B A3B Thinking
Mistral Medium 3 $0.0014, Qwen3 Next 80B A3B Thinking $0.0008 per turn.
List prices
At a glance
- Coding index
- Mistral Medium 3 not benchmarked, Qwen3 Next 80B A3B Thinking not benchmarked.
- Widest category
- Math, 6.8 points apart on average over 2 shared benchmarks.
- Widest single gap
- LMArena Text: math: Mistral Medium 3 1353 against Qwen3 Next 80B A3B Thinking 1399, 7.7 points apart on a 0 to 100 scale.
- Output price
- Mistral Medium 3 $2.00 against Qwen3 Next 80B A3B Thinking $1.20 per million output tokens, 1.7x apart.
- Context window
- Mistral Medium 3 takes 131K tokens, Qwen3 Next 80B A3B Thinking 262K.
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 | Bars | Qwen3 Next 80B A3B Thinking | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 3 | ||
| General | 13 | 4 | ||
| All shared boards | 14 | 15 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
| Benchmark | Mistral Medium 3 | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 17.4 | Only Qwen3 Next 80B A3B Thinking measured |
| LiveCodeBench (Artificial Analysis run) | 40.0% | Not measured | Only Mistral Medium 3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 3.8% | Not measured | Only Mistral Medium 3 measured |
| LMArena Text: coding | 1385 | 1392 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: software and IT | 1385 | 1393 | Qwen3 Next 80B A3B Thinking |
| Neither model has a result on the other 34 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Medium 3 | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.0 | 11.2 | Qwen3 Next 80B A3B Thinking |
| Epoch Capabilities Index | 134.0 | Not measured | Only Mistral Medium 3 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Mistral Medium 3 | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 24.3% | Not measured | Only Mistral Medium 3 measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Mistral Medium 3 | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 57.8% | Not measured | Only Mistral Medium 3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 4.1% | Not measured | Only Mistral Medium 3 measured |
| LMArena Text: hard prompts | 1364 | 1371 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: expert | 1342 | 1376 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: hard prompts in English | 1374 | 1384 | Qwen3 Next 80B A3B Thinking |
| LMArena Vision: diagrams | 1155 | Not measured | Only Mistral Medium 3 measured |
| LMArena Vision: homework | 1165 | Not measured | Only Mistral Medium 3 measured |
| 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 Medium 3 | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Math Index | 30.3 | Not measured | Only Mistral Medium 3 measured |
| AIME 2025 (Artificial Analysis run) | 30.3% | Not measured | Only Mistral Medium 3 measured |
| LMArena Text: math | 1353 | 1399 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: mathematical work | 1354 | 1390 | Qwen3 Next 80B A3B Thinking |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | Mistral Medium 3 | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 76.0% | Not measured | Only Mistral Medium 3 measured |
| LMArena Text: science | 1381 | 1384 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: medicine and healthcare | 1381 | 1392 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: legal and government | 1384 | 1364 | Mistral Medium 3 |
| LMArena Text: business and finance | 1352 | 1360 | Qwen3 Next 80B A3B Thinking |
| 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 | Mistral Medium 3 | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| Design Arena: websites | 1079 | Not measured | Only Mistral Medium 3 measured |
| Design Arena: UI components | 1024 | Not measured | Only Mistral Medium 3 measured |
| Design Arena: game dev | 1018 | Not measured | Only Mistral Medium 3 measured |
| Design Arena: data viz | 1034 | Not measured | Only Mistral Medium 3 measured |
| Design Arena: 3D | 1084 | Not measured | Only Mistral Medium 3 measured |
| Design Arena: all code categories | 1069 | Not measured | Only Mistral Medium 3 measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index134
| Benchmark | Mistral Medium 3 | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| IFBench | 39.3% | Not measured | Only Mistral Medium 3 measured |
| Long context reasoning (AA-LCR) | 31.3% | Not measured | Only Mistral Medium 3 measured |
| DTBench | 62.3% | Not measured | Only Mistral Medium 3 measured |
| LMArena Text | 1370 | 1368 | Mistral Medium 3 |
| LMArena Text: instruction following | 1338 | 1344 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: creative writing | 1343 | 1314 | Mistral Medium 3 |
| LMArena Vision | 1157 | Not measured | Only Mistral Medium 3 measured |
| LMArena Text: English | 1385 | 1392 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: non-English | 1353 | 1342 | Mistral Medium 3 |
| LMArena Text: Chinese | 1374 | 1407 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: German | 1377 | 1356 | Mistral Medium 3 |
| LMArena Text: Japanese | 1316 | 1280 | Mistral Medium 3 |
| LMArena Text: Korean | 1304 | 1310 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: French | 1368 | 1351 | Mistral Medium 3 |
| LMArena Text: Spanish | 1364 | 1358 | Mistral Medium 3 |
| LMArena Text: Russian | 1359 | 1337 | Mistral Medium 3 |
| LMArena Text: Polish | 1371 | 1345 | Mistral Medium 3 |
| LMArena Text: multi-turn | 1384 | 1346 | Mistral Medium 3 |
| LMArena Text: longer queries | 1360 | 1353 | Mistral Medium 3 |
| LMArena Text: writing and language | 1352 | 1330 | Mistral Medium 3 |
| LMArena Text: entertainment and media | 1335 | 1312 | Mistral Medium 3 |
| LMArena Vision: English | 1172 | Not measured | Only Mistral Medium 3 measured |
| LMArena Vision: Chinese | 1161 | Not measured | Only Mistral Medium 3 measured |
| LMArena Vision: reading text | 1154 | Not measured | Only Mistral Medium 3 measured |
| LMArena Vision: humor | 1145 | Not measured | Only Mistral Medium 3 measured |
| LMArena Vision: captioning | 1094 | Not measured | Only Mistral Medium 3 measured |
| LMArena Vision: recognizing things | 1141 | Not measured | Only Mistral Medium 3 measured |
| LMArena Vision: creative writing | 1146 | Not measured | Only Mistral Medium 3 measured |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Medium 3 | Qwen3 Next 80B A3B Thinking | 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 Next 80B A3B Thinking costs less
Repository review
50K input + 3K output tokens
Qwen3 Next 80B A3B Thinking costs less
Agent loop
200K input + 10K output tokens
Qwen3 Next 80B A3B Thinking 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 | Qwen3 Next 80B A3B Thinking |
|---|---|---|
| Maker | Mistral AI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | May 7, 2025 | September 11, 2025 |
| Context window | 131K | 262K |
| Input $/Mtok | $0.40 | $0.15 |
| Output $/Mtok | $2.00 | $1.20 |
| 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 better than Qwen3 Next 80B A3B Thinking for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Medium 3 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, Mistral Medium 3 or Qwen3 Next 80B A3B Thinking?
Mistral Medium 3 costs $0.40 per million input tokens and $2.00 per million output tokens; Qwen3 Next 80B A3B Thinking costs $0.15 and $1.20. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Medium 3 or Qwen3 Next 80B A3B Thinking?
Qwen3 Next 80B A3B Thinking, with 262K tokens against 131K.
How many benchmarks is the Mistral Medium 3 vs Qwen3 Next 80B A3B Thinking comparison based on?
29 benchmarks have a result for both models as of October 21, 2026. Mistral Medium 3's coding index rests on 0 independent benchmarks and Qwen3 Next 80B A3B Thinking's on 0. Where only one model has a result, the page says so instead of naming a winner.