DeepSeek V4.1 Flash vs MiMo-V2.6-Flash
Updated October 21, 2026. 64 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick DeepSeek V4.1 Flash for coding: it scores 77.2 on the Vibe Coding Index against 61.9 for MiMo-V2.6-Flash.
Pick MiMo-V2.6-Flash when output tokens cost 1.9x less, or when the context window is larger, 1.05M against 1.05M tokens.
- Shared results
- 64
- DeepSeek V4.1 Flash only
- 37
- MiMo-V2.6-Flash only
- 2
- 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
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash scores 77.2 against 61.9.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiMo-V2.6-Flash
MiMo-V2.6-Flash leads, 37.9 against 24.7.
Same board, both measured
Web design
Design Arena: websites
No call
Only DeepSeek V4.1 Flash has a Design Arena: websites result, 1309.
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 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Flash
DeepSeek V4.1 Flash $0.0003, MiMo-V2.6-Flash $0.0003 per turn.
List prices
At a glance
- Coding index
- DeepSeek V4.1 Flash 77.2 from 2 benchmarks, MiMo-V2.6-Flash 61.9 from 1 benchmark.
- Widest category
- Intelligence, 13.2 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Intelligence Index: DeepSeek V4.1 Flash 24.7 against MiMo-V2.6-Flash 37.9, 13.2 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4.1 Flash $0.525 against MiMo-V2.6-Flash $0.28 per million output tokens, 1.9x apart.
- Context window
- DeepSeek V4.1 Flash takes 1.05M 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 | DeepSeek V4.1 Flash | Bars | MiMo-V2.6-Flash | Ties |
|---|---|---|---|---|
| Coding | 5 | 9 | 1 tie | |
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 7 | ||
| Reasoning | 5 | 2 | ||
| Math | 2 | 1 | ||
| Knowledge | 5 | 0 | ||
| General | 21 | 4 | ||
| All shared boards | 39 | 24 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index59
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LiveBench coding | 90.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev | 1618 | 1634 | MiMo-V2.6-Flash |
| Terminal-Bench 4 (Vals AI) | 19.7% | 24.2% | MiMo-V2.6-Flash |
| Vibe Code Bench (Vals AI) | 84.7% | 79.0% | DeepSeek V4.1 Flash |
| Code migration (Vals AI) | 45.6% | 40.9% | DeepSeek V4.1 Flash |
| ProgramBench (Vals AI) | 0.5% | 0.5% | Tie |
| IOI (Vals AI) | 40.3% | 47.7% | MiMo-V2.6-Flash |
| Terminal-Bench 2.1 (Vals AI) | 74.5% | 76.4% | MiMo-V2.6-Flash |
| SWE-bench Multimodal (Vals AI) | 46.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| Vibe Code Bench 1-100 (Vals AI) | 16.4% | Not measured | Only DeepSeek V4.1 Flash measured |
| SkillsBench (Vals AI) | 69.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| CyberBench (Vals AI) | 73.7% | 75.4% | MiMo-V2.6-Flash |
| SciCode | 51.9% | 51.3% | DeepSeek V4.1 Flash |
| FrontierCode | 43.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| ALE-Bench | 1092.3 | 1244.2 | MiMo-V2.6-Flash |
| LMArena Text: coding | 1502 | 1499 | DeepSeek V4.1 Flash |
| LMArena Text: software and IT | 1496 | 1497 | MiMo-V2.6-Flash |
| LMArena WebDev: React | 1628 | 1648 | MiMo-V2.6-Flash |
| LMArena WebDev: HTML | 1612 | 1641 | MiMo-V2.6-Flash |
| LMArena WebDev: from an image | 1606 | 1596 | DeepSeek V4.1 Flash |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.7 | 37.9 | MiMo-V2.6-Flash |
| Epoch Capabilities Index | 155.9 | Not measured | Only DeepSeek V4.1 Flash measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LiveBench research | 86.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| LiveBench browser | 84.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| LiveBench long agentic | 40.1% | Not measured | Only DeepSeek V4.1 Flash measured |
| SREBench (Vals AI) | 0.8% | 4.2% | MiMo-V2.6-Flash |
| Finance Agent (Vals AI) | 53.5% | 56.3% | MiMo-V2.6-Flash |
| Tax Agent Bench (Vals AI) | 26.6% | 28.5% | MiMo-V2.6-Flash |
| Legal Research Bench (Vals AI) | 41.4% | 38.0% | DeepSeek V4.1 Flash |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 13.3% | Only MiMo-V2.6-Flash measured |
| Excel Modeling Benchmark (Vals AI) | 57.2% | 65.5% | MiMo-V2.6-Flash |
| BioMysteryBench (Vals AI) | 67.8% | 69.3% | MiMo-V2.6-Flash |
| Terminal-Bench-Science (Vals AI) | 0.0% | 4.3% | MiMo-V2.6-Flash |
| Vals Science Index | 29.6% | 31.7% | MiMo-V2.6-Flash |
| APEX-Agents | 39.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 26 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index52
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LiveBench reasoning | 86.7% | Not measured | Only DeepSeek V4.1 Flash measured |
| MysteryMechanism (Vals AI) | 21.2% | 21.6% | MiMo-V2.6-Flash |
| Humanity's Last Exam (Artificial Analysis run) | 39.2% | 35.1% | DeepSeek V4.1 Flash |
| GPQA Diamond (Epoch AI run) | 89.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| ARC-AGI | 94.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| ARC-AGI-2 | 72.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| Chess puzzles | 48.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| Mystery game puzzles | 43.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: hard prompts | 1483 | 1475 | DeepSeek V4.1 Flash |
| LMArena Text: expert | 1501 | 1496 | DeepSeek V4.1 Flash |
| LMArena Text: hard prompts in English | 1488 | 1493 | MiMo-V2.6-Flash |
| LMArena Vision: diagrams | 1297 | 1276 | DeepSeek V4.1 Flash |
| LMArena Vision: homework | 1307 | 1283 | DeepSeek V4.1 Flash |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| FrontierMath, tiers 1 to 3 | 67.4% | Not measured | Only DeepSeek V4.1 Flash measured |
| FrontierMath, tier 4 | 26.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| ProofBench | 54.0% | 63.0% | MiMo-V2.6-Flash |
| LMArena Text: math | 1478 | 1476 | DeepSeek V4.1 Flash |
| LMArena Text: mathematical work | 1485 | 1478 | DeepSeek V4.1 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 83.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| MedCode (Vals AI) | 41.2% | 41.1% | DeepSeek V4.1 Flash |
| SimpleQA Verified | 42.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: science | 1469 | 1462 | DeepSeek V4.1 Flash |
| LMArena Text: medicine and healthcare | 1484 | 1439 | DeepSeek V4.1 Flash |
| LMArena Text: legal and government | 1443 | 1441 | DeepSeek V4.1 Flash |
| LMArena Text: business and finance | 1461 | 1454 | DeepSeek V4.1 Flash |
| Neither model has a result on the other 10 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1309 | Not measured | Only DeepSeek V4.1 Flash measured |
| Design Arena: UI components | 1314 | Not measured | Only DeepSeek V4.1 Flash measured |
| Design Arena: game dev | 1331 | Not measured | Only DeepSeek V4.1 Flash measured |
| Design Arena: data viz | 1290 | Not measured | Only DeepSeek V4.1 Flash measured |
| Design Arena: 3D | 1356 | Not measured | Only DeepSeek V4.1 Flash measured |
| Design Arena: all code categories | 1320 | Not measured | Only DeepSeek V4.1 Flash measured |
| Design Arena: SVG | 1243 | Not measured | Only DeepSeek V4.1 Flash measured |
| Design Arena: ASCII art | 1265 | Not measured | Only DeepSeek V4.1 Flash measured |
| LiveBench design | 79.2% | Not measured | Only DeepSeek V4.1 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index214
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Vals Index | Not measured | 54.8% | Only MiMo-V2.6-Flash measured |
| LiveBench data analysis | 79.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| Public Benefits Bench (Vals AI) | 64.3% | 67.6% | MiMo-V2.6-Flash |
| SAGE (Vals AI) | 47.9% | 43.5% | DeepSeek V4.1 Flash |
| MedScribe (Vals AI) | 85.5% | 85.3% | DeepSeek V4.1 Flash |
| Long context reasoning (AA-LCR) | 84.0% | 74.3% | DeepSeek V4.1 Flash |
| DTBench | 89.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMCA | 47.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| Surface Evolver Bench | 46.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| Furniture assembly | 34.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text | 1464 | 1453 | DeepSeek V4.1 Flash |
| LMArena Text: instruction following | 1473 | 1452 | DeepSeek V4.1 Flash |
| LMArena Text: creative writing | 1437 | 1403 | DeepSeek V4.1 Flash |
| LMArena Vision | 1278 | 1256 | DeepSeek V4.1 Flash |
| LMArena Text: English | 1473 | 1476 | MiMo-V2.6-Flash |
| LMArena Text: non-English | 1449 | 1431 | DeepSeek V4.1 Flash |
| LMArena Text: Chinese | 1501 | 1509 | MiMo-V2.6-Flash |
| LMArena Text: German | 1470 | 1458 | DeepSeek V4.1 Flash |
| LMArena Text: Japanese | 1432 | 1359 | DeepSeek V4.1 Flash |
| LMArena Text: Korean | 1436 | 1425 | DeepSeek V4.1 Flash |
| LMArena Text: French | 1465 | 1480 | MiMo-V2.6-Flash |
| LMArena Text: Spanish | 1459 | 1453 | DeepSeek V4.1 Flash |
| LMArena Text: Russian | 1467 | 1409 | DeepSeek V4.1 Flash |
| LMArena Text: Polish | 1457 | 1455 | DeepSeek V4.1 Flash |
| LMArena Text: multi-turn | 1461 | 1447 | DeepSeek V4.1 Flash |
| LMArena Text: longer queries | 1473 | 1459 | DeepSeek V4.1 Flash |
| LMArena Text: writing and language | 1450 | 1424 | DeepSeek V4.1 Flash |
| LMArena Text: entertainment and media | 1445 | 1415 | DeepSeek V4.1 Flash |
| LMArena Vision: English | 1288 | 1269 | DeepSeek V4.1 Flash |
| LMArena Vision: Chinese | 1327 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: reading text | 1282 | 1270 | DeepSeek V4.1 Flash |
| LMArena Vision: humor | 1260 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: creative writing | 1275 | 1231 | DeepSeek V4.1 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 | DeepSeek V4.1 Flash | 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
DeepSeek V4.1 Flash costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4.1 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 | DeepSeek V4.1 Flash | Xiaomi MiMo-V2.6-Flash |
|---|---|---|
| Maker | DeepSeek | Xiaomi |
| Weights | Open weights | Open weights |
| Released | September 10, 2026 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.049 | $0.14 |
| Output $/Mtok | $0.525 | $0.28 |
| Coding index | 77.2 | 61.9 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4.1 Flash better than MiMo-V2.6-Flash for coding?
Pick DeepSeek V4.1 Flash for coding: it scores 77.2 on the Vibe Coding Index against 61.9 for MiMo-V2.6-Flash. Pick MiMo-V2.6-Flash when output tokens cost 1.9x less, or when the context window is larger, 1.05M against 1.05M tokens.
Which is cheaper, DeepSeek V4.1 Flash or MiMo-V2.6-Flash?
DeepSeek V4.1 Flash costs $0.049 per million input tokens and $0.525 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V4.1 Flash or MiMo-V2.6-Flash?
MiMo-V2.6-Flash, with 1.05M tokens against 1.05M.
How many benchmarks is the DeepSeek V4.1 Flash vs MiMo-V2.6-Flash comparison based on?
64 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4.1 Flash's coding index rests on 2 independent benchmarks and MiMo-V2.6-Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.