Mistral Medium 3.5 vs MiMo-V2.6-Flash
Updated October 21, 2026. 52 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick MiMo-V2.6-Flash for coding: it scores 61.9 on the Vibe Coding Index against 9.2 for Mistral Medium 3.5.
Mistral Medium 3.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 52
- Mistral Medium 3.5 only
- 28
- MiMo-V2.6-Flash only
- 14
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
MiMo-V2.6-Flash
MiMo-V2.6-Flash scores 61.9 against 9.2.
One benchmark behind each score
Intelligence
AA Intelligence Index
MiMo-V2.6-Flash
MiMo-V2.6-Flash leads, 37.9 against 14.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Mistral Medium 3.5 has a AA Agentic Index result, 7.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Mistral Medium 3.5 has a GPQA Diamond result, 34.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Mistral Medium 3.5 has a MMLU Pro result, 75.3%.
Directional only
Web design
Design Arena: websites
No call
Only Mistral Medium 3.5 has a Design Arena: websites result, 1142.
Directional only
General
Vals Index
No call
Only MiMo-V2.6-Flash has a Vals Index result, 54.8%.
Directional only
Long documents
Listed context window
MiMo-V2.6-Flash
MiMo-V2.6-Flash takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Flash
Mistral Medium 3.5 $0.0053, MiMo-V2.6-Flash $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Mistral Medium 3.5 has the number, $6.02.
Directional only
At a glance
- Coding index
- Mistral Medium 3.5 9.2 from 1 benchmark, MiMo-V2.6-Flash 61.9 from 1 benchmark.
- Widest category
- Coding, 34.9 points apart on average over 10 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Mistral Medium 3.5 2.9% against MiMo-V2.6-Flash 79.0%, 76.1 points apart on a 0 to 100 scale.
- Output price
- Mistral Medium 3.5 $7.50 against MiMo-V2.6-Flash $0.28 per million output tokens, 26.8x apart.
- Context window
- Mistral Medium 3.5 takes 262K tokens, MiMo-V2.6-Flash 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 3.5 | Bars | MiMo-V2.6-Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 10 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 4 | ||
| Reasoning | 0 | 6 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 5 | ||
| General | 0 | 23 | ||
| All shared boards | 0 | 52 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index010
| Benchmark | Mistral Medium 3.5 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LMArena WebDev | 1264 | 1634 | MiMo-V2.6-Flash |
| AA Coding Index | 46.9 | Not measured | Only Mistral Medium 3.5 measured |
| SWE-bench Verified (Vals AI) | 66.4% | Not measured | Only Mistral Medium 3.5 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 24.2% | Only MiMo-V2.6-Flash measured |
| Vibe Code Bench (Vals AI) | 2.9% | 79.0% | MiMo-V2.6-Flash |
| Code migration (Vals AI) | 5.1% | 40.9% | MiMo-V2.6-Flash |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only MiMo-V2.6-Flash measured |
| IOI (Vals AI) | Not measured | 47.7% | Only MiMo-V2.6-Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 39.0% | 76.4% | MiMo-V2.6-Flash |
| CyberBench (Vals AI) | Not measured | 75.4% | Only MiMo-V2.6-Flash measured |
| SciCode | 40.2% | 51.3% | MiMo-V2.6-Flash |
| Terminal-Bench Hard (Artificial Analysis run) | 33.3% | Not measured | Only Mistral Medium 3.5 measured |
| ALE-Bench | 764.0 | 1244.2 | MiMo-V2.6-Flash |
| LMArena Text: coding | 1460 | 1499 | MiMo-V2.6-Flash |
| LMArena Text: software and IT | 1458 | 1497 | MiMo-V2.6-Flash |
| LMArena WebDev: React | 1254 | 1648 | MiMo-V2.6-Flash |
| LMArena WebDev: HTML | 1308 | 1641 | MiMo-V2.6-Flash |
| LMArena WebDev: from an image | Not measured | 1596 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Medium 3.5 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 14.2 | 37.9 | MiMo-V2.6-Flash |
| Epoch Capabilities Index | 141.4 | Not measured | Only Mistral Medium 3.5 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Mistral Medium 3.5 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Agentic Index | 7.0 | Not measured | Only Mistral Medium 3.5 measured |
| SREBench (Vals AI) | Not measured | 4.2% | Only MiMo-V2.6-Flash measured |
| Finance Agent (Vals AI) | 32.1% | 56.3% | MiMo-V2.6-Flash |
| Tax Agent Bench (Vals AI) | 4.5% | 28.5% | MiMo-V2.6-Flash |
| Legal Research Bench (Vals AI) | 9.1% | 38.0% | MiMo-V2.6-Flash |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 13.3% | Only MiMo-V2.6-Flash measured |
| Excel Modeling Benchmark (Vals AI) | 11.2% | 65.5% | MiMo-V2.6-Flash |
| BioMysteryBench (Vals AI) | Not measured | 69.3% | Only MiMo-V2.6-Flash measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only MiMo-V2.6-Flash measured |
| Vals Science Index | Not measured | 31.7% | Only MiMo-V2.6-Flash measured |
| τ²-Bench Telecom | 94.2% | Not measured | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Mistral Medium 3.5 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| GPQA Diamond | 34.9% | Not measured | Only Mistral Medium 3.5 measured |
| MysteryMechanism (Vals AI) | Not measured | 21.6% | Only MiMo-V2.6-Flash measured |
| GPQA Diamond (Artificial Analysis run) | 74.8% | Not measured | Only Mistral Medium 3.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | 13.8% | 35.1% | MiMo-V2.6-Flash |
| LMArena Text: hard prompts | 1436 | 1475 | MiMo-V2.6-Flash |
| LMArena Text: expert | 1432 | 1496 | MiMo-V2.6-Flash |
| LMArena Text: hard prompts in English | 1445 | 1493 | MiMo-V2.6-Flash |
| LMArena Vision: diagrams | 1254 | 1276 | MiMo-V2.6-Flash |
| LMArena Vision: homework | 1230 | 1283 | MiMo-V2.6-Flash |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Mistral Medium 3.5 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| ProofBench | 9.0% | 63.0% | MiMo-V2.6-Flash |
| LMArena Text: math | 1431 | 1476 | MiMo-V2.6-Flash |
| LMArena Text: mathematical work | 1440 | 1478 | MiMo-V2.6-Flash |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Mistral Medium 3.5 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MMLU Pro | 75.3% | Not measured | Only Mistral Medium 3.5 measured |
| CaseLaw (Vals AI) | 44.2% | Not measured | Only Mistral Medium 3.5 measured |
| CorpFin (Vals AI) | 58.8% | Not measured | Only Mistral Medium 3.5 measured |
| TaxEval (Vals AI) | 68.0% | Not measured | Only Mistral Medium 3.5 measured |
| MortgageTax (Vals AI) | 28.9% | Not measured | Only Mistral Medium 3.5 measured |
| MedCode (Vals AI) | 33.8% | 41.1% | MiMo-V2.6-Flash |
| LMArena Text: science | 1428 | 1462 | MiMo-V2.6-Flash |
| LMArena Text: medicine and healthcare | 1409 | 1439 | MiMo-V2.6-Flash |
| LMArena Text: legal and government | 1437 | 1441 | MiMo-V2.6-Flash |
| LMArena Text: business and finance | 1426 | 1454 | MiMo-V2.6-Flash |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Mistral Medium 3.5 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1142 | Not measured | Only Mistral Medium 3.5 measured |
| Design Arena: UI components | 1079 | Not measured | Only Mistral Medium 3.5 measured |
| Design Arena: game dev | 1079 | Not measured | Only Mistral Medium 3.5 measured |
| Design Arena: data viz | 1120 | Not measured | Only Mistral Medium 3.5 measured |
| Design Arena: 3D | 1061 | Not measured | Only Mistral Medium 3.5 measured |
| Design Arena: all code categories | 1122 | Not measured | Only Mistral Medium 3.5 measured |
| Design Arena: SVG | 949 | Not measured | Only Mistral Medium 3.5 measured |
| Design Arena: ASCII art | 1062 | Not measured | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index023
| Benchmark | Mistral Medium 3.5 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Vals Index | Not measured | 54.8% | Only MiMo-V2.6-Flash measured |
| Public Benefits Bench (Vals AI) | Not measured | 67.6% | Only MiMo-V2.6-Flash measured |
| SAGE (Vals AI) | 37.6% | 43.5% | MiMo-V2.6-Flash |
| MedScribe (Vals AI) | 67.7% | 85.3% | MiMo-V2.6-Flash |
| Vals Multimodal Index | 34.8% | Not measured | Only Mistral Medium 3.5 measured |
| IFBench | 68.8% | Not measured | Only Mistral Medium 3.5 measured |
| Long context reasoning (AA-LCR) | 69.3% | 74.3% | MiMo-V2.6-Flash |
| DTBench | 75.5% | Not measured | Only Mistral Medium 3.5 measured |
| LMCA | 26.1% | Not measured | Only Mistral Medium 3.5 measured |
| Surface Evolver Bench | 26.9% | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Text | 1421 | 1453 | MiMo-V2.6-Flash |
| LMArena Text: instruction following | 1415 | 1452 | MiMo-V2.6-Flash |
| LMArena Text: creative writing | 1374 | 1403 | MiMo-V2.6-Flash |
| LMArena Vision | 1222 | 1256 | MiMo-V2.6-Flash |
| LMArena Text: English | 1433 | 1476 | MiMo-V2.6-Flash |
| LMArena Text: non-English | 1404 | 1431 | MiMo-V2.6-Flash |
| LMArena Text: Chinese | 1444 | 1509 | MiMo-V2.6-Flash |
| LMArena Text: German | 1453 | 1458 | MiMo-V2.6-Flash |
| LMArena Text: Japanese | Not measured | 1359 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Korean | 1384 | 1425 | MiMo-V2.6-Flash |
| LMArena Text: French | 1448 | 1480 | MiMo-V2.6-Flash |
| LMArena Text: Spanish | 1411 | 1453 | MiMo-V2.6-Flash |
| LMArena Text: Russian | 1395 | 1409 | MiMo-V2.6-Flash |
| LMArena Text: Polish | 1430 | 1455 | MiMo-V2.6-Flash |
| LMArena Text: multi-turn | 1423 | 1447 | MiMo-V2.6-Flash |
| LMArena Text: longer queries | 1415 | 1459 | MiMo-V2.6-Flash |
| LMArena Text: writing and language | 1384 | 1424 | MiMo-V2.6-Flash |
| LMArena Text: entertainment and media | 1382 | 1415 | MiMo-V2.6-Flash |
| LMArena Vision: English | 1240 | 1269 | MiMo-V2.6-Flash |
| LMArena Vision: Chinese | 1244 | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Vision: reading text | 1233 | 1270 | MiMo-V2.6-Flash |
| LMArena Vision: humor | 1216 | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Vision: creative writing | 1198 | 1231 | MiMo-V2.6-Flash |
| 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 3.5 | MiMo-V2.6-Flash | 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-Flash costs less
Repository review
50K input + 3K output tokens
MiMo-V2.6-Flash costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.6-Flash 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 3.5 | Xiaomi MiMo-V2.6-Flash |
|---|---|---|
| Maker | Mistral AI | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | April 30, 2026 | September 21, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $1.50 | $0.14 |
| Output $/Mtok | $7.50 | $0.28 |
| Coding index | 9.2 | 61.9 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $6.02 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Medium 3.5 better than MiMo-V2.6-Flash for coding?
Pick MiMo-V2.6-Flash for coding: it scores 61.9 on the Vibe Coding Index against 9.2 for Mistral Medium 3.5. Mistral Medium 3.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, Mistral Medium 3.5 or MiMo-V2.6-Flash?
Mistral Medium 3.5 costs $1.50 per million input tokens and $7.50 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for Mistral Medium 3.5 only.
Which has the bigger context window, Mistral Medium 3.5 or MiMo-V2.6-Flash?
MiMo-V2.6-Flash, with 1.05M tokens against 262K.
How many benchmarks is the Mistral Medium 3.5 vs MiMo-V2.6-Flash comparison based on?
52 benchmarks have a result for both models as of October 21, 2026. Mistral Medium 3.5's coding index rests on 1 independent benchmark and MiMo-V2.6-Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.