DeepSeek V4.1 Flash 1017 vs MiMo-V2.6-Flash
Updated October 21, 2026. 17 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 1017 for coding: it scores 83.3 on the Vibe Coding Index against 61.9 for MiMo-V2.6-Flash.
Pick MiMo-V2.6-Flash when output tokens cost 2.1x less, or when the context window is larger, 1.05M against 1.05M tokens.
- Shared results
- 17
- DeepSeek V4.1 Flash 1017 only
- 15
- MiMo-V2.6-Flash only
- 49
- Like-for-like categories
- 5 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 1017
DeepSeek V4.1 Flash 1017 scores 83.3 against 61.9.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 leads, 39.5 against 37.9.
Same board, both measured
Web design
Design Arena: websites
No call
Only DeepSeek V4.1 Flash 1017 has a Design Arena: websites result, 1312.
Directional only
General
Vals Index
DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 leads, 61.3% against 54.8%.
Same board, both measured
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 1017 $0.0004, MiMo-V2.6-Flash $0.0003 per turn.
List prices
At a glance
- Coding index
- DeepSeek V4.1 Flash 1017 83.3 from 2 benchmarks, MiMo-V2.6-Flash 61.9 from 1 benchmark.
- Widest category
- Reasoning, 8.2 points apart on average over 1 shared benchmark.
- Widest single gap
- Tax Agent Bench (Vals AI): DeepSeek V4.1 Flash 1017 44.4% against MiMo-V2.6-Flash 28.5%, 15.8 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4.1 Flash 1017 $0.60 against MiMo-V2.6-Flash $0.28 per million output tokens, 2.1x apart.
- Context window
- DeepSeek V4.1 Flash 1017 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 1017 | Bars | MiMo-V2.6-Flash | Ties |
|---|---|---|---|---|
| Coding | 8 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 4 | 1 | ||
| Reasoning | 1 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 16 | 1 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index80
| Benchmark | DeepSeek V4.1 Flash 1017 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LiveBench coding | 96.0% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LMArena WebDev | 1664 | 1634 | DeepSeek V4.1 Flash 1017 |
| Terminal-Bench 4 (Vals AI) | 31.8% | 24.2% | DeepSeek V4.1 Flash 1017 |
| Vibe Code Bench (Vals AI) | 87.7% | 79.0% | DeepSeek V4.1 Flash 1017 |
| Code migration (Vals AI) | 44.2% | 40.9% | DeepSeek V4.1 Flash 1017 |
| 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) | Not measured | 76.4% | Only MiMo-V2.6-Flash measured |
| CyberBench (Vals AI) | Not measured | 75.4% | Only MiMo-V2.6-Flash measured |
| SciCode | 55.9% | 51.3% | DeepSeek V4.1 Flash 1017 |
| ALE-Bench | 1622.0 | 1244.2 | DeepSeek V4.1 Flash 1017 |
| LMArena Text: coding | Not measured | 1499 | Only MiMo-V2.6-Flash measured |
| LMArena Text: software and IT | Not measured | 1497 | Only MiMo-V2.6-Flash measured |
| LMArena WebDev: React | 1667 | 1648 | DeepSeek V4.1 Flash 1017 |
| LMArena WebDev: HTML | 1687 | 1641 | DeepSeek V4.1 Flash 1017 |
| LMArena WebDev: from an image | Not measured | 1596 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 22 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4.1 Flash 1017 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 39.5 | 37.9 | DeepSeek V4.1 Flash 1017 |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | DeepSeek V4.1 Flash 1017 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | 1238 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LiveBench research | 79.5% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LiveBench browser | 76.0% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LiveBench long agentic | 50.9% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| SREBench (Vals AI) | Not measured | 4.2% | Only MiMo-V2.6-Flash measured |
| Finance Agent (Vals AI) | 57.0% | 56.3% | DeepSeek V4.1 Flash 1017 |
| Tax Agent Bench (Vals AI) | 44.4% | 28.5% | DeepSeek V4.1 Flash 1017 |
| Legal Research Bench (Vals AI) | 45.2% | 38.0% | DeepSeek V4.1 Flash 1017 |
| Harvey's Legal Agent Benchmark (Vals AI) | 14.2% | 13.3% | DeepSeek V4.1 Flash 1017 |
| Excel Modeling Benchmark (Vals AI) | 61.8% | 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 |
| Neither model has a result on the other 26 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4.1 Flash 1017 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LiveBench reasoning | 89.1% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| MysteryMechanism (Vals AI) | Not measured | 21.6% | Only MiMo-V2.6-Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.3% | 35.1% | DeepSeek V4.1 Flash 1017 |
| LMArena Text: hard prompts | Not measured | 1475 | Only MiMo-V2.6-Flash measured |
| LMArena Text: expert | Not measured | 1496 | Only MiMo-V2.6-Flash measured |
| LMArena Text: hard prompts in English | Not measured | 1493 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: diagrams | Not measured | 1276 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: homework | Not measured | 1283 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 13 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | DeepSeek V4.1 Flash 1017 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| ProofBench | Not measured | 63.0% | Only MiMo-V2.6-Flash measured |
| LMArena Text: math | Not measured | 1476 | Only MiMo-V2.6-Flash measured |
| LMArena Text: mathematical work | Not measured | 1478 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | DeepSeek V4.1 Flash 1017 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 41.1% | Only MiMo-V2.6-Flash measured |
| LMArena Text: science | Not measured | 1462 | Only MiMo-V2.6-Flash measured |
| LMArena Text: medicine and healthcare | Not measured | 1439 | Only MiMo-V2.6-Flash measured |
| LMArena Text: legal and government | Not measured | 1441 | Only MiMo-V2.6-Flash measured |
| LMArena Text: business and finance | Not measured | 1454 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | DeepSeek V4.1 Flash 1017 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1312 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: UI components | 1305 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: game dev | 1365 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: data viz | 1330 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: 3D | 1368 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: all code categories | 1335 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: ASCII art | 1244 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LiveBench design | 83.4% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V4.1 Flash 1017 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Vals Index | 61.3% | 54.8% | DeepSeek V4.1 Flash 1017 |
| LiveBench data analysis | 79.5% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Public Benefits Bench (Vals AI) | Not measured | 67.6% | Only MiMo-V2.6-Flash measured |
| SAGE (Vals AI) | Not measured | 43.5% | Only MiMo-V2.6-Flash measured |
| MedScribe (Vals AI) | Not measured | 85.3% | Only MiMo-V2.6-Flash measured |
| Long context reasoning (AA-LCR) | 82.7% | 74.3% | DeepSeek V4.1 Flash 1017 |
| LMArena Text | Not measured | 1453 | Only MiMo-V2.6-Flash measured |
| LMArena Text: instruction following | Not measured | 1452 | Only MiMo-V2.6-Flash measured |
| LMArena Text: creative writing | Not measured | 1403 | Only MiMo-V2.6-Flash measured |
| LMArena Vision | Not measured | 1256 | Only MiMo-V2.6-Flash measured |
| LMArena Text: English | Not measured | 1476 | Only MiMo-V2.6-Flash measured |
| LMArena Text: non-English | Not measured | 1431 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Chinese | Not measured | 1509 | Only MiMo-V2.6-Flash measured |
| LMArena Text: German | Not measured | 1458 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Japanese | Not measured | 1359 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Korean | Not measured | 1425 | Only MiMo-V2.6-Flash measured |
| LMArena Text: French | Not measured | 1480 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Spanish | Not measured | 1453 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Russian | Not measured | 1409 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Polish | Not measured | 1455 | Only MiMo-V2.6-Flash measured |
| LMArena Text: multi-turn | Not measured | 1447 | Only MiMo-V2.6-Flash measured |
| LMArena Text: longer queries | Not measured | 1459 | Only MiMo-V2.6-Flash measured |
| LMArena Text: writing and language | Not measured | 1424 | Only MiMo-V2.6-Flash measured |
| LMArena Text: entertainment and media | Not measured | 1415 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: English | Not measured | 1269 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: reading text | Not measured | 1270 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: creative writing | Not measured | 1231 | 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 | DeepSeek V4.1 Flash 1017 | 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 | DeepSeek V4.1 Flash 1017 | Xiaomi MiMo-V2.6-Flash |
|---|---|---|
| Maker | DeepSeek | Xiaomi |
| Weights | Open weights | Open weights |
| Released | October 17, 2026 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.15 | $0.14 |
| Output $/Mtok | $0.60 | $0.28 |
| Coding index | 83.3 | 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 1017 better than MiMo-V2.6-Flash for coding?
Pick DeepSeek V4.1 Flash 1017 for coding: it scores 83.3 on the Vibe Coding Index against 61.9 for MiMo-V2.6-Flash. Pick MiMo-V2.6-Flash when output tokens cost 2.1x less, or when the context window is larger, 1.05M against 1.05M tokens.
Which is cheaper, DeepSeek V4.1 Flash 1017 or MiMo-V2.6-Flash?
DeepSeek V4.1 Flash 1017 costs $0.15 per million input tokens and $0.60 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 1017 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 1017 vs MiMo-V2.6-Flash comparison based on?
17 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4.1 Flash 1017'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.