Mistral Medium 3.1 vs MiMo-V2.5
MiMo-V2.5 leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 21.8 to 9.2, and MiMo-V2.5 costs 6.0x less per output token ($0.336 vs $2.00 per million). Updated October 21, 2026; 63 benchmarks have a result for both.
Mistral Medium 3.1 or MiMo-V2.5: which to pick
Only MiMo-V2.5 has a coding score, 50.0 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
- 63
- Mistral Medium 3.1 only
- 11
- MiMo-V2.5 only
- 17
- 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 MiMo-V2.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
MiMo-V2.5
MiMo-V2.5 leads, 21.8 against 9.2.
Same board, both measured
Agentic work
AA Agentic Index
MiMo-V2.5
MiMo-V2.5 leads, 15.8 against 1.9.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only MiMo-V2.5 has a GPQA Diamond result, 81.6%.
Directional only
Math
AIME
No call
Only Mistral Medium 3.1 has a AIME result, 42.3%.
Directional only
Knowledge
MMLU Pro
MiMo-V2.5
MiMo-V2.5 leads, 82.9% against 75.3%.
Same board, both measured
Web design
Design Arena: websites
MiMo-V2.5
MiMo-V2.5 leads, 1266 against 1133.
Same board, both measured
Long documents
Listed context window
MiMo-V2.5
MiMo-V2.5 takes 1.05M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.5
Mistral Medium 3.1 $0.0014, MiMo-V2.5 $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiMo-V2.5 has the number, $0.01.
Directional only
At a glance
- Coding index
- Mistral Medium 3.1 not benchmarked, MiMo-V2.5 50.0 from 3 benchmarks.
- Widest category
- Agentic work, 32.0 points apart on average over 2 shared benchmarks.
- Widest single gap
- τ²-Bench Telecom: Mistral Medium 3.1 40.6% against MiMo-V2.5 90.6%, 50.0 points apart on a 0 to 100 scale.
- Output price
- Mistral Medium 3.1 $2.00 against MiMo-V2.5 $0.336 per million output tokens, 6.0x apart.
- Context window
- Mistral Medium 3.1 takes 131K tokens, MiMo-V2.5 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-V2.5 | Ties |
|---|---|---|---|---|
| Coding | 0 | 7 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 0 | 8 | ||
| Math | 0 | 2 | ||
| Knowledge | 3 | 6 | ||
| Web design | 0 | 8 | ||
| General | 8 | 18 | ||
| All shared boards | 11 | 52 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
| Benchmark | Mistral Medium 3.1 | MiMo-V2.5 | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1438 | Only MiMo-V2.5 measured |
| AA Coding Index | 20.5 | 56.8 | MiMo-V2.5 |
| LiveCodeBench (Vals AI) | 44.8% | 81.5% | MiMo-V2.5 |
| SWE-bench Verified (Vals AI) | Not measured | 71.0% | Only MiMo-V2.5 measured |
| Vibe Code Bench (Vals AI) | Not measured | 42.2% | Only MiMo-V2.5 measured |
| Code migration (Vals AI) | Not measured | 14.2% | Only MiMo-V2.5 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 60.7% | Only MiMo-V2.5 measured |
| LiveCodeBench (Artificial Analysis run) | 40.6% | Not measured | Only Mistral Medium 3.1 measured |
| SciCode | 32.4% | 43.9% | MiMo-V2.5 |
| Terminal-Bench Hard (Artificial Analysis run) | 10.6% | 41.7% | MiMo-V2.5 |
| ALE-Bench | 210.2 | 514.0 | MiMo-V2.5 |
| LMArena Text: coding | 1433 | 1469 | MiMo-V2.5 |
| LMArena Text: software and IT | 1436 | 1463 | MiMo-V2.5 |
| LMArena WebDev: React | Not measured | 1425 | Only MiMo-V2.5 measured |
| LMArena WebDev: HTML | Not measured | 1429 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Medium 3.1 | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.2 | 21.8 | MiMo-V2.5 |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mistral Medium 3.1 | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Agentic Index | 1.9 | 15.8 | MiMo-V2.5 |
| Finance Agent (Vals AI) | Not measured | 36.7% | Only MiMo-V2.5 measured |
| Tax Agent Bench (Vals AI) | Not measured | 7.8% | Only MiMo-V2.5 measured |
| Legal Research Bench (Vals AI) | Not measured | 9.1% | Only MiMo-V2.5 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 55.1% | Only MiMo-V2.5 measured |
| τ²-Bench Telecom | 40.6% | 90.6% | MiMo-V2.5 |
| Neither model has a result on the other 35 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Mistral Medium 3.1 | MiMo-V2.5 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 81.6% | Only MiMo-V2.5 measured |
| MMMU Pro (Vals AI) | 63.0% | 80.0% | MiMo-V2.5 |
| GPQA Diamond (Artificial Analysis run) | 58.8% | 84.9% | MiMo-V2.5 |
| Humanity's Last Exam (Artificial Analysis run) | 4.7% | 27.2% | MiMo-V2.5 |
| LMArena Text: hard prompts | 1426 | 1450 | MiMo-V2.5 |
| LMArena Text: expert | 1408 | 1459 | MiMo-V2.5 |
| LMArena Text: hard prompts in English | 1435 | 1461 | MiMo-V2.5 |
| LMArena Vision: diagrams | 1175 | 1269 | MiMo-V2.5 |
| LMArena Vision: homework | 1165 | 1262 | MiMo-V2.5 |
| Neither model has a result on the other 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mistral Medium 3.1 | MiMo-V2.5 | 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 | 16.0% | Only MiMo-V2.5 measured |
| LMArena Text: math | 1408 | 1436 | MiMo-V2.5 |
| LMArena Text: mathematical work | 1412 | 1451 | MiMo-V2.5 |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index36
| Benchmark | Mistral Medium 3.1 | MiMo-V2.5 | Leader |
|---|---|---|---|
| MMLU Pro | 75.3% | 82.9% | MiMo-V2.5 |
| LegalBench (Vals AI) | 62.0% | 78.9% | MiMo-V2.5 |
| CorpFin (Vals AI) | 50.7% | 59.9% | MiMo-V2.5 |
| TaxEval (Vals AI) | 70.3% | 71.8% | MiMo-V2.5 |
| MortgageTax (Vals AI) | 36.5% | 59.3% | MiMo-V2.5 |
| MedQA (Vals AI) | 78.2% | Not measured | Only Mistral Medium 3.1 measured |
| MedCode (Vals AI) | Not measured | 31.9% | Only MiMo-V2.5 measured |
| MMLU Pro (Artificial Analysis run) | 68.3% | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Text: science | 1444 | 1440 | Mistral Medium 3.1 |
| LMArena Text: medicine and healthcare | 1449 | 1432 | Mistral Medium 3.1 |
| LMArena Text: legal and government | 1439 | 1425 | Mistral Medium 3.1 |
| LMArena Text: business and finance | 1418 | 1432 | MiMo-V2.5 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Mistral Medium 3.1 | MiMo-V2.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 1133 | 1266 | MiMo-V2.5 |
| Design Arena: UI components | 1100 | 1258 | MiMo-V2.5 |
| Design Arena: game dev | 1074 | 1249 | MiMo-V2.5 |
| Design Arena: data viz | 1144 | 1249 | MiMo-V2.5 |
| Design Arena: 3D | 1081 | 1216 | MiMo-V2.5 |
| Design Arena: all code categories | 1120 | 1260 | MiMo-V2.5 |
| Design Arena: SVG | 993 | 1178 | MiMo-V2.5 |
| Design Arena: ASCII art | 997 | 1140 | MiMo-V2.5 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index818
| Benchmark | Mistral Medium 3.1 | MiMo-V2.5 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 43.3% | Only MiMo-V2.5 measured |
| MedScribe (Vals AI) | Not measured | 72.2% | Only MiMo-V2.5 measured |
| Vals Multimodal Index | Not measured | 52.8% | Only MiMo-V2.5 measured |
| IFBench | 39.8% | 67.1% | MiMo-V2.5 |
| Long context reasoning (AA-LCR) | 42.7% | 73.0% | MiMo-V2.5 |
| 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 | 1428 | MiMo-V2.5 |
| LMArena Text: instruction following | 1398 | 1435 | MiMo-V2.5 |
| LMArena Text: creative writing | 1391 | 1393 | MiMo-V2.5 |
| LMArena Vision | 1172 | 1247 | MiMo-V2.5 |
| LMArena Text: English | 1438 | 1447 | MiMo-V2.5 |
| LMArena Text: non-English | 1408 | 1405 | Mistral Medium 3.1 |
| LMArena Text: Chinese | 1447 | 1469 | MiMo-V2.5 |
| LMArena Text: German | 1432 | 1421 | Mistral Medium 3.1 |
| LMArena Text: Japanese | 1379 | 1306 | Mistral Medium 3.1 |
| LMArena Text: Korean | 1380 | 1361 | Mistral Medium 3.1 |
| LMArena Text: French | 1460 | 1448 | Mistral Medium 3.1 |
| LMArena Text: Spanish | 1433 | 1414 | Mistral Medium 3.1 |
| LMArena Text: Russian | 1411 | 1396 | Mistral Medium 3.1 |
| LMArena Text: Polish | 1430 | 1413 | Mistral Medium 3.1 |
| LMArena Text: multi-turn | 1418 | 1445 | MiMo-V2.5 |
| LMArena Text: longer queries | 1406 | 1445 | MiMo-V2.5 |
| LMArena Text: writing and language | 1395 | 1409 | MiMo-V2.5 |
| LMArena Text: entertainment and media | 1390 | 1399 | MiMo-V2.5 |
| LMArena Vision: English | 1179 | 1259 | MiMo-V2.5 |
| LMArena Vision: Chinese | 1190 | 1326 | MiMo-V2.5 |
| LMArena Vision: reading text | 1175 | 1256 | MiMo-V2.5 |
| LMArena Vision: humor | 1168 | 1226 | MiMo-V2.5 |
| LMArena Vision: captioning | 1145 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: recognizing things | 1147 | 1189 | MiMo-V2.5 |
| LMArena Vision: creative writing | 1200 | 1230 | MiMo-V2.5 |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Medium 3.1 | MiMo-V2.5 | 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-V2.5 costs less
Repository review
50K input + 3K output tokens
MiMo-V2.5 costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.5 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-V2.5 |
|---|---|---|
| Maker | Mistral AI | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | August 13, 2025 | April 22, 2026 |
| Context window | 131K | 1.05M |
| Input $/Mtok | $0.40 | $0.168 |
| Output $/Mtok | $2.00 | $0.336 |
| Coding index | Not benchmarked | 50.0 |
| Independent measurements behind it | 0 | 3 |
| Cost per solved task | Not computable | $0.01 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Medium 3.1 better than MiMo-V2.5 for coding?
Only MiMo-V2.5 has a coding score, 50.0 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 MiMo-V2.5?
Mistral Medium 3.1 costs $0.40 per million input tokens and $2.00 per million output tokens; MiMo-V2.5 costs $0.168 and $0.336. Cost per solved task is known for MiMo-V2.5 only.
Which has the bigger context window, Mistral Medium 3.1 or MiMo-V2.5?
MiMo-V2.5, with 1.05M tokens against 131K.
How many benchmarks is the Mistral Medium 3.1 vs MiMo-V2.5 comparison based on?
63 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-V2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.