Mistral Medium 3.1 vs MiMo-V2.6-Pro
MiMo-V2.6-Pro leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 46.3 to 9.2, and MiMo-V2.6-Pro costs 2.3x less per output token ($0.87 vs $2.00 per million). Updated October 21, 2026; 38 benchmarks have a result for both.
Mistral Medium 3.1 or MiMo-V2.6-Pro: which to pick
Only MiMo-V2.6-Pro has a coding score, 65.4 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
- Shared results
- 38
- Mistral Medium 3.1 only
- 36
- MiMo-V2.6-Pro only
- 35
- Like-for-like categories
- 7 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 MiMo-V2.6-Pro has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
MiMo-V2.6-Pro
MiMo-V2.6-Pro leads, 46.3 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
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
MiMo-V2.6-Pro
MiMo-V2.6-Pro leads, 1308 against 1133.
Same board, both measured
General
Vals Index
No call
Only MiMo-V2.6-Pro has a Vals Index result, 57.8%.
Directional only
Long documents
Listed context window
MiMo-V2.6-Pro
MiMo-V2.6-Pro takes 1.05M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Pro
Mistral Medium 3.1 $0.0014, MiMo-V2.6-Pro $0.0009 per turn.
List prices
At a glance
- Coding index
- Mistral Medium 3.1 not benchmarked, MiMo-V2.6-Pro 65.4 from 4 benchmarks.
- Widest category
- Intelligence, 37.1 points apart on average over 1 shared benchmark.
- Widest single gap
- Humanity's Last Exam (Artificial Analysis run): Mistral Medium 3.1 4.7% against MiMo-V2.6-Pro 49.4%, 44.7 points apart on a 0 to 100 scale.
- Output price
- Mistral Medium 3.1 $2.00 against MiMo-V2.6-Pro $0.87 per million output tokens, 2.3x apart.
- Context window
- Mistral Medium 3.1 takes 131K tokens, MiMo-V2.6-Pro 1.05M.
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 | MiMo-V2.6-Pro | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 6 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| Web design | 0 | 6 | ||
| General | 0 | 15 | ||
| All shared boards | 0 | 38 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
| Benchmark | Mistral Medium 3.1 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 81.5% | Only MiMo-V2.6-Pro measured |
| LMArena WebDev | Not measured | 1625 | Only MiMo-V2.6-Pro measured |
| 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 |
| Terminal-Bench 4 (Vals AI) | Not measured | 31.3% | Only MiMo-V2.6-Pro measured |
| Vibe Code Bench (Vals AI) | Not measured | 85.2% | Only MiMo-V2.6-Pro measured |
| Code migration (Vals AI) | Not measured | 43.0% | Only MiMo-V2.6-Pro measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only MiMo-V2.6-Pro measured |
| IOI (Vals AI) | Not measured | 39.3% | Only MiMo-V2.6-Pro measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 67.8% | Only MiMo-V2.6-Pro measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 41.3% | Only MiMo-V2.6-Pro measured |
| CyberBench (Vals AI) | Not measured | 72.9% | Only MiMo-V2.6-Pro measured |
| LiveCodeBench (Artificial Analysis run) | 40.6% | Not measured | Only Mistral Medium 3.1 measured |
| SciCode | 32.4% | 60.9% | MiMo-V2.6-Pro |
| Terminal-Bench Hard (Artificial Analysis run) | 10.6% | Not measured | Only Mistral Medium 3.1 measured |
| ALE-Bench | 210.2 | 1158.1 | MiMo-V2.6-Pro |
| LMArena Text: coding | 1433 | 1533 | MiMo-V2.6-Pro |
| LMArena Text: software and IT | 1436 | 1528 | MiMo-V2.6-Pro |
| LMArena WebDev: React | Not measured | 1639 | Only MiMo-V2.6-Pro measured |
| LMArena WebDev: HTML | Not measured | 1616 | Only MiMo-V2.6-Pro measured |
| LMArena WebDev: from an image | Not measured | 1598 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Medium 3.1 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.2 | 46.3 | MiMo-V2.6-Pro |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
| Benchmark | Mistral Medium 3.1 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Agentic Index | 1.9 | Not measured | Only Mistral Medium 3.1 measured |
| Design Arena: agents building web apps | Not measured | 1290 | Only MiMo-V2.6-Pro measured |
| LiveBench research | Not measured | 76.7% | Only MiMo-V2.6-Pro measured |
| LiveBench browser | Not measured | 88.0% | Only MiMo-V2.6-Pro measured |
| LiveBench long agentic | Not measured | 47.5% | Only MiMo-V2.6-Pro measured |
| SREBench (Vals AI) | Not measured | 3.0% | Only MiMo-V2.6-Pro measured |
| Finance Agent (Vals AI) | Not measured | 57.3% | Only MiMo-V2.6-Pro measured |
| Tax Agent Bench (Vals AI) | Not measured | 32.4% | Only MiMo-V2.6-Pro measured |
| Legal Research Bench (Vals AI) | Not measured | 47.1% | Only MiMo-V2.6-Pro measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 13.8% | Only MiMo-V2.6-Pro measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 62.9% | Only MiMo-V2.6-Pro measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 2.9% | Only MiMo-V2.6-Pro measured |
| τ²-Bench Telecom | 40.6% | Not measured | Only Mistral Medium 3.1 measured |
| APEX-Agents | Not measured | 54.4% | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Mistral Medium 3.1 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 79.6% | Only MiMo-V2.6-Pro measured |
| MysteryMechanism (Vals AI) | Not measured | 15.3% | Only MiMo-V2.6-Pro measured |
| MMMU Pro (Vals AI) | 63.0% | Not measured | Only Mistral Medium 3.1 measured |
| GPQA Diamond (Artificial Analysis run) | 58.8% | Not measured | Only Mistral Medium 3.1 measured |
| Humanity's Last Exam (Artificial Analysis run) | 4.7% | 49.4% | MiMo-V2.6-Pro |
| LMArena Text: hard prompts | 1426 | 1511 | MiMo-V2.6-Pro |
| LMArena Text: expert | 1408 | 1541 | MiMo-V2.6-Pro |
| LMArena Text: hard prompts in English | 1435 | 1520 | MiMo-V2.6-Pro |
| LMArena Vision: diagrams | 1175 | 1281 | MiMo-V2.6-Pro |
| LMArena Vision: homework | 1165 | 1264 | MiMo-V2.6-Pro |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mistral Medium 3.1 | MiMo-V2.6-Pro | 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 | Not measured | Only Mistral Medium 3.1 measured |
| AIME 2025 (Artificial Analysis run) | 38.3% | Not measured | Only Mistral Medium 3.1 measured |
| ProofBench | Not measured | 70.0% | Only MiMo-V2.6-Pro measured |
| LMArena Text: math | 1408 | 1500 | MiMo-V2.6-Pro |
| LMArena Text: mathematical work | 1412 | 1511 | MiMo-V2.6-Pro |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Mistral Medium 3.1 | MiMo-V2.6-Pro | 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 |
| MedCode (Vals AI) | Not measured | 45.0% | Only MiMo-V2.6-Pro measured |
| MMLU Pro (Artificial Analysis run) | 68.3% | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Text: science | 1444 | 1506 | MiMo-V2.6-Pro |
| LMArena Text: medicine and healthcare | 1449 | 1497 | MiMo-V2.6-Pro |
| LMArena Text: legal and government | 1439 | 1485 | MiMo-V2.6-Pro |
| LMArena Text: business and finance | 1418 | 1468 | MiMo-V2.6-Pro |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Mistral Medium 3.1 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1133 | 1308 | MiMo-V2.6-Pro |
| Design Arena: UI components | 1100 | 1339 | MiMo-V2.6-Pro |
| Design Arena: game dev | 1074 | 1313 | MiMo-V2.6-Pro |
| Design Arena: data viz | 1144 | 1336 | MiMo-V2.6-Pro |
| Design Arena: 3D | 1081 | 1331 | MiMo-V2.6-Pro |
| Design Arena: all code categories | 1120 | 1316 | MiMo-V2.6-Pro |
| Design Arena: SVG | 993 | Not measured | Only Mistral Medium 3.1 measured |
| Design Arena: ASCII art | 997 | Not measured | Only Mistral Medium 3.1 measured |
| LiveBench design | Not measured | 78.5% | Only MiMo-V2.6-Pro measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index015
| Benchmark | Mistral Medium 3.1 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Vals Index | Not measured | 57.8% | Only MiMo-V2.6-Pro measured |
| LiveBench data analysis | Not measured | 72.3% | Only MiMo-V2.6-Pro measured |
| Public Benefits Bench (Vals AI) | Not measured | 68.9% | Only MiMo-V2.6-Pro measured |
| SAGE (Vals AI) | Not measured | 45.0% | Only MiMo-V2.6-Pro measured |
| MedScribe (Vals AI) | Not measured | 88.3% | Only MiMo-V2.6-Pro measured |
| IFBench | 39.8% | Not measured | Only Mistral Medium 3.1 measured |
| Long context reasoning (AA-LCR) | 42.7% | 86.3% | MiMo-V2.6-Pro |
| DTBench | 67.5% | Not measured | Only Mistral Medium 3.1 measured |
| LMCA | 19.1% | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Text | 1424 | 1491 | MiMo-V2.6-Pro |
| LMArena Text: instruction following | 1398 | 1491 | MiMo-V2.6-Pro |
| LMArena Text: creative writing | 1391 | 1466 | MiMo-V2.6-Pro |
| LMArena Vision | 1172 | 1263 | MiMo-V2.6-Pro |
| LMArena Text: English | 1438 | 1504 | MiMo-V2.6-Pro |
| LMArena Text: non-English | 1408 | 1474 | MiMo-V2.6-Pro |
| LMArena Text: Chinese | 1447 | 1529 | MiMo-V2.6-Pro |
| LMArena Text: German | 1432 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Text: Japanese | 1379 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Text: Korean | 1380 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Text: French | 1460 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Text: Spanish | 1433 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Text: Russian | 1411 | 1479 | MiMo-V2.6-Pro |
| LMArena Text: Polish | 1430 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Text: multi-turn | 1418 | 1466 | MiMo-V2.6-Pro |
| LMArena Text: longer queries | 1406 | 1501 | MiMo-V2.6-Pro |
| LMArena Text: writing and language | 1395 | 1470 | MiMo-V2.6-Pro |
| LMArena Text: entertainment and media | 1390 | 1465 | MiMo-V2.6-Pro |
| LMArena Vision: English | 1179 | 1268 | MiMo-V2.6-Pro |
| LMArena Vision: Chinese | 1190 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: reading text | 1175 | 1270 | MiMo-V2.6-Pro |
| 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 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Medium 3.1 | MiMo-V2.6-Pro | 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
MiMo-V2.6-Pro costs less
Repository review
50K input + 3K output tokens
MiMo-V2.6-Pro costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.6-Pro 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 | Xiaomi MiMo-V2.6-Pro |
|---|---|---|
| Maker | Mistral AI | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | August 13, 2025 | September 21, 2026 |
| Context window | 131K | 1.05M |
| Input $/Mtok | $0.40 | $0.435 |
| Output $/Mtok | $2.00 | $0.87 |
| Coding index | Not benchmarked | 65.4 |
| Independent measurements behind it | 0 | 4 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Medium 3.1 better than MiMo-V2.6-Pro for coding?
Only MiMo-V2.6-Pro has a coding score, 65.4 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Mistral Medium 3.1 or MiMo-V2.6-Pro?
Mistral Medium 3.1 costs $0.40 per million input tokens and $2.00 per million output tokens; MiMo-V2.6-Pro costs $0.435 and $0.87. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Medium 3.1 or MiMo-V2.6-Pro?
MiMo-V2.6-Pro, with 1.05M tokens against 131K.
How many benchmarks is the Mistral Medium 3.1 vs MiMo-V2.6-Pro comparison based on?
38 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 MiMo-V2.6-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.