MiMo-V2.6-Flash vs MiMo-V2.6-Pro
Updated October 21, 2026. 57 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-Pro for coding: it scores 72.6 on the Vibe Coding Index against 61.9 for MiMo-V2.6-Flash.
Pick MiMo-V2.6-Flash when output tokens cost 3.1x less, or when what matters is LMArena WebDev or IOI (Vals AI), where it leads.
- Shared results
- 57
- MiMo-V2.6-Flash only
- 9
- MiMo-V2.6-Pro only
- 16
- 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-Pro
MiMo-V2.6-Pro scores 72.6 against 61.9.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiMo-V2.6-Pro
MiMo-V2.6-Pro leads, 46.3 against 37.9.
Same board, both measured
Web design
Design Arena: websites
No call
Only MiMo-V2.6-Pro has a Design Arena: websites result, 1308.
Directional only
General
Vals Index
MiMo-V2.6-Pro
MiMo-V2.6-Pro leads, 57.8% against 54.8%.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Flash
MiMo-V2.6-Flash $0.0003, MiMo-V2.6-Pro $0.0009 per turn.
List prices
At a glance
- Coding index
- MiMo-V2.6-Flash 61.9 from 1 benchmark, MiMo-V2.6-Pro 72.6 from 2 benchmarks.
- Widest category
- Intelligence, 8.4 points apart on average over 1 shared benchmark.
- Widest single gap
- Humanity's Last Exam (Artificial Analysis run): MiMo-V2.6-Flash 35.1% against MiMo-V2.6-Pro 49.4%, 14.3 points apart on a 0 to 100 scale.
- Output price
- MiMo-V2.6-Flash $0.28 against MiMo-V2.6-Pro $0.87 per million output tokens, 3.1x apart.
- Context window
- Both take 1.05M tokens.
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 | MiMo-V2.6-Flash | Bars | MiMo-V2.6-Pro | Ties |
|---|---|---|---|---|
| Coding | 7 | 7 | 1 tie | |
| Intelligence | 0 | 1 | ||
| Agentic work | 3 | 4 | ||
| Reasoning | 2 | 5 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 5 | ||
| General | 2 | 17 | ||
| All shared boards | 14 | 42 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index77
| Benchmark | MiMo-V2.6-Flash | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 81.5% | Only MiMo-V2.6-Pro measured |
| LMArena WebDev | 1634 | 1625 | MiMo-V2.6-Flash |
| Terminal-Bench 4 (Vals AI) | 24.2% | 31.3% | MiMo-V2.6-Pro |
| Vibe Code Bench (Vals AI) | 79.0% | 85.2% | MiMo-V2.6-Pro |
| Code migration (Vals AI) | 40.9% | 43.0% | MiMo-V2.6-Pro |
| ProgramBench (Vals AI) | 0.5% | 0.5% | Tie |
| IOI (Vals AI) | 47.7% | 39.3% | MiMo-V2.6-Flash |
| Terminal-Bench 2.1 (Vals AI) | 76.4% | 67.8% | MiMo-V2.6-Flash |
| SWE-bench Multimodal (Vals AI) | Not measured | 41.3% | Only MiMo-V2.6-Pro measured |
| CyberBench (Vals AI) | 75.4% | 72.9% | MiMo-V2.6-Flash |
| SciCode | 51.3% | 60.9% | MiMo-V2.6-Pro |
| ALE-Bench | 1244.2 | 1158.1 | MiMo-V2.6-Flash |
| LMArena Text: coding | 1499 | 1533 | MiMo-V2.6-Pro |
| LMArena Text: software and IT | 1497 | 1528 | MiMo-V2.6-Pro |
| LMArena WebDev: React | 1648 | 1639 | MiMo-V2.6-Flash |
| LMArena WebDev: HTML | 1641 | 1616 | MiMo-V2.6-Flash |
| LMArena WebDev: from an image | 1596 | 1598 | MiMo-V2.6-Pro |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | MiMo-V2.6-Flash | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 37.9 | 46.3 | MiMo-V2.6-Pro |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index34
| Benchmark | MiMo-V2.6-Flash | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1291 | 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) | 4.2% | 3.0% | MiMo-V2.6-Flash |
| Finance Agent (Vals AI) | 56.3% | 57.3% | MiMo-V2.6-Pro |
| Tax Agent Bench (Vals AI) | 28.5% | 32.4% | MiMo-V2.6-Pro |
| Legal Research Bench (Vals AI) | 38.0% | 47.1% | MiMo-V2.6-Pro |
| Harvey's Legal Agent Benchmark (Vals AI) | 13.3% | 13.8% | MiMo-V2.6-Pro |
| Excel Modeling Benchmark (Vals AI) | 65.5% | 62.9% | MiMo-V2.6-Flash |
| BioMysteryBench (Vals AI) | 69.3% | Not measured | Only MiMo-V2.6-Flash measured |
| Terminal-Bench-Science (Vals AI) | 4.3% | 2.9% | MiMo-V2.6-Flash |
| Vals Science Index | 31.7% | Not measured | Only MiMo-V2.6-Flash measured |
| APEX-Agents | Not measured | 54.4% | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index25
| Benchmark | MiMo-V2.6-Flash | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 79.6% | Only MiMo-V2.6-Pro measured |
| MysteryMechanism (Vals AI) | 21.6% | 15.3% | MiMo-V2.6-Flash |
| Humanity's Last Exam (Artificial Analysis run) | 35.1% | 49.4% | MiMo-V2.6-Pro |
| LMArena Text: hard prompts | 1475 | 1511 | MiMo-V2.6-Pro |
| LMArena Text: expert | 1496 | 1541 | MiMo-V2.6-Pro |
| LMArena Text: hard prompts in English | 1493 | 1520 | MiMo-V2.6-Pro |
| LMArena Vision: diagrams | 1276 | 1281 | MiMo-V2.6-Pro |
| LMArena Vision: homework | 1283 | 1264 | MiMo-V2.6-Flash |
| Neither model has a result on the other 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | MiMo-V2.6-Flash | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| ProofBench | 63.0% | 70.0% | MiMo-V2.6-Pro |
| LMArena Text: math | 1476 | 1500 | MiMo-V2.6-Pro |
| LMArena Text: mathematical work | 1478 | 1511 | MiMo-V2.6-Pro |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | MiMo-V2.6-Flash | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| MedCode (Vals AI) | 41.1% | 45.0% | MiMo-V2.6-Pro |
| LMArena Text: science | 1462 | 1506 | MiMo-V2.6-Pro |
| LMArena Text: medicine and healthcare | 1439 | 1497 | MiMo-V2.6-Pro |
| LMArena Text: legal and government | 1441 | 1485 | MiMo-V2.6-Pro |
| LMArena Text: business and finance | 1454 | 1468 | MiMo-V2.6-Pro |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | MiMo-V2.6-Flash | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1308 | Only MiMo-V2.6-Pro measured |
| Design Arena: UI components | Not measured | 1338 | Only MiMo-V2.6-Pro measured |
| Design Arena: game dev | Not measured | 1314 | Only MiMo-V2.6-Pro measured |
| Design Arena: data viz | Not measured | 1337 | Only MiMo-V2.6-Pro measured |
| Design Arena: 3D | Not measured | 1330 | Only MiMo-V2.6-Pro measured |
| Design Arena: all code categories | Not measured | 1317 | Only MiMo-V2.6-Pro measured |
| LiveBench design | Not measured | 78.5% | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index217
| Benchmark | MiMo-V2.6-Flash | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Vals Index | 54.8% | 57.8% | MiMo-V2.6-Pro |
| LiveBench data analysis | Not measured | 72.3% | Only MiMo-V2.6-Pro measured |
| Public Benefits Bench (Vals AI) | 67.6% | 68.9% | MiMo-V2.6-Pro |
| SAGE (Vals AI) | 43.5% | 45.0% | MiMo-V2.6-Pro |
| MedScribe (Vals AI) | 85.3% | 88.3% | MiMo-V2.6-Pro |
| Long context reasoning (AA-LCR) | 74.3% | 86.3% | MiMo-V2.6-Pro |
| LMArena Text | 1453 | 1491 | MiMo-V2.6-Pro |
| LMArena Text: instruction following | 1452 | 1491 | MiMo-V2.6-Pro |
| LMArena Text: creative writing | 1403 | 1466 | MiMo-V2.6-Pro |
| LMArena Vision | 1256 | 1263 | MiMo-V2.6-Pro |
| LMArena Text: English | 1476 | 1504 | MiMo-V2.6-Pro |
| LMArena Text: non-English | 1431 | 1474 | MiMo-V2.6-Pro |
| LMArena Text: Chinese | 1509 | 1529 | MiMo-V2.6-Pro |
| LMArena Text: German | 1458 | Not measured | Only MiMo-V2.6-Flash measured |
| LMArena Text: Japanese | 1359 | Not measured | Only MiMo-V2.6-Flash measured |
| LMArena Text: Korean | 1425 | Not measured | Only MiMo-V2.6-Flash measured |
| LMArena Text: French | 1480 | Not measured | Only MiMo-V2.6-Flash measured |
| LMArena Text: Spanish | 1453 | Not measured | Only MiMo-V2.6-Flash measured |
| LMArena Text: Russian | 1409 | 1479 | MiMo-V2.6-Pro |
| LMArena Text: Polish | 1455 | Not measured | Only MiMo-V2.6-Flash measured |
| LMArena Text: multi-turn | 1447 | 1466 | MiMo-V2.6-Pro |
| LMArena Text: longer queries | 1459 | 1501 | MiMo-V2.6-Pro |
| LMArena Text: writing and language | 1424 | 1470 | MiMo-V2.6-Pro |
| LMArena Text: entertainment and media | 1415 | 1465 | MiMo-V2.6-Pro |
| LMArena Vision: English | 1269 | 1268 | MiMo-V2.6-Flash |
| LMArena Vision: reading text | 1270 | 1270 | MiMo-V2.6-Flash |
| LMArena Vision: creative writing | 1231 | Not measured | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | MiMo-V2.6-Flash | 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-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 | Xiaomi MiMo-V2.6-Flash | Xiaomi MiMo-V2.6-Pro |
|---|---|---|
| Maker | Xiaomi | Xiaomi |
| Weights | Open weights | Open weights |
| Released | September 21, 2026 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.14 | $0.435 |
| Output $/Mtok | $0.28 | $0.87 |
| Coding index | 61.9 | 72.6 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is MiMo-V2.6-Flash better than MiMo-V2.6-Pro for coding?
Pick MiMo-V2.6-Pro for coding: it scores 72.6 on the Vibe Coding Index against 61.9 for MiMo-V2.6-Flash. Pick MiMo-V2.6-Flash when output tokens cost 3.1x less, or when what matters is LMArena WebDev or IOI (Vals AI), where it leads.
Which is cheaper, MiMo-V2.6-Flash or MiMo-V2.6-Pro?
MiMo-V2.6-Flash costs $0.14 per million input tokens and $0.28 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, MiMo-V2.6-Flash or MiMo-V2.6-Pro?
Neither: both take 1.05M tokens.
How many benchmarks is the MiMo-V2.6-Flash vs MiMo-V2.6-Pro comparison based on?
57 benchmarks have a result for both models as of October 21, 2026. MiMo-V2.6-Flash's coding index rests on 1 independent benchmark and MiMo-V2.6-Pro's on 2. Where only one model has a result, the page says so instead of naming a winner.