DeepSeek V4.1 Flash vs MiMo-V2.5-Pro
DeepSeek V4.1 Flash leads MiMo-V2.5-Pro on coding, 62.5 to 31.6 on the Vibe Coding Index, at about the same output price ($0.84 vs $0.9152 per million). Updated October 22, 2026; 58 benchmarks have a result for both.
DeepSeek V4.1 Flash or MiMo-V2.5-Pro: which to pick
Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro.
Pick MiMo-V2.5-Pro for a larger context window (1.05M against 1.05M tokens) and work measured by AA Intelligence Index or LMArena Text: hard prompts, where it leads.
- Shared results
- 58
- DeepSeek V4.1 Flash only
- 43
- MiMo-V2.5-Pro only
- 12
- 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
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash scores 62.5 against 31.6.
5 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiMo-V2.5-Pro
MiMo-V2.5-Pro leads, 26.0 against 24.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only MiMo-V2.5-Pro has a AA Agentic Index result, 21.3.
Directional only
Reasoning
GPQA Diamond
No call
Only MiMo-V2.5-Pro has a GPQA Diamond result, 82.6%.
Directional only
Knowledge
MMLU Pro
No call
Only MiMo-V2.5-Pro has a MMLU Pro result, 84.6%.
Directional only
Web design
Design Arena: websites
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash leads, 1308 against 1266.
Same board, both measured
Long documents
Listed context window
MiMo-V2.5-Pro
MiMo-V2.5-Pro takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash $0.0006, MiMo-V2.5-Pro $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiMo-V2.5-Pro has the number, $0.03.
Directional only
At a glance
- Coding index
- DeepSeek V4.1 Flash 62.5 from 5 benchmarks, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
- Widest category
- Coding, 17.1 points apart on average over 11 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): DeepSeek V4.1 Flash 84.7% against MiMo-V2.5-Pro 34.1%, 50.6 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4.1 Flash $0.84 against MiMo-V2.5-Pro $0.9152 per million output tokens, 1.1x apart.
- Context window
- DeepSeek V4.1 Flash takes 1.05M tokens, MiMo-V2.5-Pro 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-V2.5-Pro | Ties |
|---|---|---|---|---|
| Coding | 11 | 0 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 4 | 0 | ||
| Reasoning | 2 | 2 | ||
| Math | 1 | 2 | ||
| Knowledge | 3 | 3 | ||
| Web design | 8 | 0 | ||
| General | 10 | 11 | ||
| All shared boards | 39 | 19 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index110
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| LiveBench coding | 90.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev | 1618 | 1480 | DeepSeek V4.1 Flash |
| AA Coding Index | Not measured | 60.2 | Only MiMo-V2.5-Pro measured |
| LiveCodeBench (Vals AI) | Not measured | 81.3% | Only MiMo-V2.5-Pro measured |
| SWE-bench Verified (Vals AI) | Not measured | 74.0% | Only MiMo-V2.5-Pro measured |
| Terminal-Bench 4 (Vals AI) | 19.7% | 0.5% | DeepSeek V4.1 Flash |
| Vibe Code Bench (Vals AI) | 84.7% | 34.1% | DeepSeek V4.1 Flash |
| Code migration (Vals AI) | 45.6% | 21.6% | DeepSeek V4.1 Flash |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| IOI (Vals AI) | 40.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 74.5% | 57.3% | DeepSeek V4.1 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% | Not measured | Only DeepSeek V4.1 Flash measured |
| SciCode | 51.9% | 50.6% | DeepSeek V4.1 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 43.2% | Only MiMo-V2.5-Pro measured |
| FrontierCode | 43.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| ALE-Bench | 1092.3 | 899.8 | DeepSeek V4.1 Flash |
| LMArena Text: coding | 1502 | 1501 | DeepSeek V4.1 Flash |
| LMArena Text: software and IT | 1496 | 1495 | DeepSeek V4.1 Flash |
| LMArena WebDev: React | 1628 | 1469 | DeepSeek V4.1 Flash |
| LMArena WebDev: HTML | 1612 | 1473 | DeepSeek V4.1 Flash |
| LMArena WebDev: from an image | 1606 | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.7 | 26.0 | MiMo-V2.5-Pro |
| 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 index40
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 21.3 | Only MiMo-V2.5-Pro measured |
| 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% | Not measured | Only DeepSeek V4.1 Flash measured |
| Finance Agent (Vals AI) | 53.5% | 41.5% | DeepSeek V4.1 Flash |
| Tax Agent Bench (Vals AI) | 26.6% | 11.5% | DeepSeek V4.1 Flash |
| Legal Research Bench (Vals AI) | 41.4% | 15.9% | DeepSeek V4.1 Flash |
| Excel Modeling Benchmark (Vals AI) | 57.2% | 55.2% | DeepSeek V4.1 Flash |
| BioMysteryBench (Vals AI) | 67.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench-Science (Vals AI) | 0.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| Vals Science Index | 29.6% | Not measured | Only DeepSeek V4.1 Flash measured |
| τ²-Bench Telecom | Not measured | 94.2% | Only MiMo-V2.5-Pro measured |
| APEX-Agents | 39.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 82.6% | Only MiMo-V2.5-Pro measured |
| LiveBench reasoning | 86.7% | Not measured | Only DeepSeek V4.1 Flash measured |
| MysteryMechanism (Vals AI) | 21.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 86.6% | Only MiMo-V2.5-Pro measured |
| Humanity's Last Exam (Artificial Analysis run) | 39.2% | 35.7% | 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 | 1486 | MiMo-V2.5-Pro |
| LMArena Text: expert | 1501 | 1501 | DeepSeek V4.1 Flash |
| LMArena Text: hard prompts in English | 1488 | 1494 | MiMo-V2.5-Pro |
| LMArena Vision: diagrams | 1297 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: homework | 1307 | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.5-Pro | 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% | 22.0% | DeepSeek V4.1 Flash |
| LMArena Text: math | 1478 | 1481 | MiMo-V2.5-Pro |
| LMArena Text: mathematical work | 1485 | 1491 | MiMo-V2.5-Pro |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 84.6% | Only MiMo-V2.5-Pro measured |
| LegalBench (Vals AI) | 83.3% | 77.1% | DeepSeek V4.1 Flash |
| CorpFin (Vals AI) | Not measured | 61.4% | Only MiMo-V2.5-Pro measured |
| TaxEval (Vals AI) | Not measured | 73.8% | Only MiMo-V2.5-Pro measured |
| MedCode (Vals AI) | 41.2% | 32.5% | DeepSeek V4.1 Flash |
| SimpleQA Verified | 42.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: science | 1469 | 1482 | MiMo-V2.5-Pro |
| LMArena Text: medicine and healthcare | 1484 | 1473 | DeepSeek V4.1 Flash |
| LMArena Text: legal and government | 1443 | 1474 | MiMo-V2.5-Pro |
| LMArena Text: business and finance | 1461 | 1466 | MiMo-V2.5-Pro |
| Neither model has a result on the other 8 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1308 | 1266 | DeepSeek V4.1 Flash |
| Design Arena: UI components | 1312 | 1246 | DeepSeek V4.1 Flash |
| Design Arena: game dev | 1330 | 1261 | DeepSeek V4.1 Flash |
| Design Arena: data viz | 1291 | 1257 | DeepSeek V4.1 Flash |
| Design Arena: 3D | 1355 | 1243 | DeepSeek V4.1 Flash |
| Design Arena: all code categories | 1320 | 1265 | DeepSeek V4.1 Flash |
| Design Arena: SVG | 1245 | 1181 | DeepSeek V4.1 Flash |
| Design Arena: ASCII art | 1265 | 1156 | DeepSeek V4.1 Flash |
| LiveBench design | 79.2% | Not measured | Only DeepSeek V4.1 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index1011
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| Public Benefits Bench (Vals AI) | 64.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| SAGE (Vals AI) | 47.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| MedScribe (Vals AI) | 85.5% | 83.7% | DeepSeek V4.1 Flash |
| IFBench | Not measured | 79.9% | Only MiMo-V2.5-Pro measured |
| Long context reasoning (AA-LCR) | 84.0% | 79.7% | DeepSeek V4.1 Flash |
| DTBench | 89.9% | 84.5% | DeepSeek V4.1 Flash |
| LMCA | 47.0% | 29.5% | DeepSeek V4.1 Flash |
| 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 | 1464 | MiMo-V2.5-Pro |
| LMArena Text: instruction following | 1473 | 1475 | MiMo-V2.5-Pro |
| LMArena Text: creative writing | 1437 | 1438 | MiMo-V2.5-Pro |
| LMArena Vision | 1278 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: English | 1473 | 1477 | MiMo-V2.5-Pro |
| LMArena Text: non-English | 1449 | 1448 | DeepSeek V4.1 Flash |
| LMArena Text: Chinese | 1501 | 1507 | MiMo-V2.5-Pro |
| LMArena Text: German | 1470 | 1459 | DeepSeek V4.1 Flash |
| LMArena Text: Japanese | 1432 | 1410 | DeepSeek V4.1 Flash |
| LMArena Text: Korean | 1436 | 1435 | DeepSeek V4.1 Flash |
| LMArena Text: French | 1465 | 1487 | MiMo-V2.5-Pro |
| LMArena Text: Spanish | 1459 | 1469 | MiMo-V2.5-Pro |
| LMArena Text: Russian | 1467 | 1449 | DeepSeek V4.1 Flash |
| LMArena Text: Polish | 1457 | 1464 | MiMo-V2.5-Pro |
| LMArena Text: multi-turn | 1461 | 1476 | MiMo-V2.5-Pro |
| LMArena Text: longer queries | 1473 | 1481 | MiMo-V2.5-Pro |
| LMArena Text: writing and language | 1450 | 1451 | MiMo-V2.5-Pro |
| LMArena Text: entertainment and media | 1445 | 1438 | DeepSeek V4.1 Flash |
| LMArena Vision: English | 1288 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: Chinese | 1327 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: reading text | 1282 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: humor | 1260 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: creative writing | 1275 | Not measured | Only DeepSeek V4.1 Flash measured |
| 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-V2.5-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
DeepSeek V4.1 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-V2.5-Pro |
|---|---|---|
| Maker | DeepSeek | Xiaomi |
| Weights | Open weights | Open weights |
| Released | September 10, 2026 | April 22, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.2225 | $0.4575 |
| Output $/Mtok | $0.84 | $0.9152 |
| Coding index | 62.5 | 31.6 |
| Independent measurements behind it | 5 | 4 |
| Cost per solved task | Not computable | $0.03 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4.1 Flash better than MiMo-V2.5-Pro for coding?
Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro. Pick MiMo-V2.5-Pro for a larger context window (1.05M against 1.05M tokens) and work measured by AA Intelligence Index or LMArena Text: hard prompts, where it leads.
Which is cheaper, DeepSeek V4.1 Flash or MiMo-V2.5-Pro?
DeepSeek V4.1 Flash costs $0.2225 per million input tokens and $0.84 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Cost per solved task is known for MiMo-V2.5-Pro only.
Which has the bigger context window, DeepSeek V4.1 Flash or MiMo-V2.5-Pro?
MiMo-V2.5-Pro, with 1.05M tokens against 1.05M.
How many benchmarks is the DeepSeek V4.1 Flash vs MiMo-V2.5-Pro comparison based on?
58 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4.1 Flash's coding index rests on 5 independent benchmarks and MiMo-V2.5-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.