DeepSeek V4.1 Flash vs MiniMax M3
DeepSeek V4.1 Flash leads MiniMax M3 on coding, 62.5 to 39.2 on the Vibe Coding Index, and DeepSeek V4.1 Flash costs 1.4x less per output token ($0.84 vs $1.20 per million). Updated October 22, 2026; 88 benchmarks have a result for both.
DeepSeek V4.1 Flash or MiniMax M3: which to pick
Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 5 benchmarks against 6.
Pick MiniMax M3 for work measured by AA Intelligence Index or GPQA Diamond (Epoch AI run), where it leads.
- Shared results
- 88
- DeepSeek V4.1 Flash only
- 13
- MiniMax M3 only
- 28
- 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 39.2.
5 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiniMax M3
MiniMax M3 leads, 29.2 against 24.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only MiniMax M3 has a AA Agentic Index result, 29.5.
Directional only
Reasoning
GPQA Diamond
No call
Only MiniMax M3 has a GPQA Diamond result, 92.7%.
Directional only
Knowledge
MMLU Pro
No call
Only MiniMax M3 has a MMLU Pro result, 84.2%.
Directional only
Web design
Design Arena: websites
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash leads, 1308 against 1257.
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
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash $0.0006, MiniMax M3 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M3 has the number, $0.56.
Directional only
At a glance
- Coding index
- DeepSeek V4.1 Flash 62.5 from 5 benchmarks, MiniMax M3 39.2 from 6 benchmarks.
- Widest category
- Agentic work, 19.6 points apart on average over 8 shared benchmarks.
- Widest single gap
- LiveBench browser: DeepSeek V4.1 Flash 84.0% against MiniMax M3 8.0%, 76.0 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4.1 Flash $0.84 against MiniMax M3 $1.20 per million output tokens, 1.4x 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 | DeepSeek V4.1 Flash | Bars | MiniMax M3 | Ties |
|---|---|---|---|---|
| Coding | 18 | 0 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 8 | 0 | ||
| Reasoning | 9 | 1 | ||
| Math | 4 | 0 | ||
| Knowledge | 4 | 2 | ||
| Web design | 9 | 0 | ||
| General | 28 | 3 | ||
| All shared boards | 81 | 7 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index180
| Benchmark | DeepSeek V4.1 Flash | MiniMax M3 | Leader |
|---|---|---|---|
| LiveBench coding | 90.2% | 70.9% | DeepSeek V4.1 Flash |
| LMArena WebDev | 1618 | 1482 | DeepSeek V4.1 Flash |
| AA Coding Index | Not measured | 58.6 | Only MiniMax M3 measured |
| LiveCodeBench (Vals AI) | Not measured | 82.2% | Only MiniMax M3 measured |
| SWE-bench Verified (Vals AI) | Not measured | 75.0% | Only MiniMax M3 measured |
| Terminal-Bench 4 (Vals AI) | 19.7% | 1.0% | DeepSeek V4.1 Flash |
| Vibe Code Bench (Vals AI) | 84.7% | 47.6% | DeepSeek V4.1 Flash |
| Code migration (Vals AI) | 45.6% | 19.9% | 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% | 53.6% | DeepSeek V4.1 Flash |
| SWE-bench Multimodal (Vals AI) | 46.5% | 33.3% | DeepSeek V4.1 Flash |
| Vibe Code Bench 1-100 (Vals AI) | 16.4% | 9.2% | DeepSeek V4.1 Flash |
| SkillsBench (Vals AI) | 69.8% | 51.5% | DeepSeek V4.1 Flash |
| CyberBench (Vals AI) | 73.7% | 65.0% | DeepSeek V4.1 Flash |
| SciCode | 51.9% | 47.1% | DeepSeek V4.1 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 42.4% | Only MiniMax M3 measured |
| FrontierCode | 43.9% | 14.7% | DeepSeek V4.1 Flash |
| ALE-Bench | 1092.3 | 640.0 | DeepSeek V4.1 Flash |
| LMArena Text: coding | 1502 | 1470 | DeepSeek V4.1 Flash |
| LMArena Text: software and IT | 1496 | 1466 | DeepSeek V4.1 Flash |
| LMArena WebDev: React | 1628 | 1478 | DeepSeek V4.1 Flash |
| LMArena WebDev: HTML | 1612 | 1455 | DeepSeek V4.1 Flash |
| LMArena WebDev: from an image | 1606 | 1470 | DeepSeek V4.1 Flash |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | DeepSeek V4.1 Flash | MiniMax M3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.7 | 29.2 | MiniMax M3 |
| Epoch Capabilities Index | 155.9 | 146.9 | DeepSeek V4.1 Flash |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | DeepSeek V4.1 Flash | MiniMax M3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 29.5 | Only MiniMax M3 measured |
| Design Arena: agents building web apps | Not measured | 1200 | Only MiniMax M3 measured |
| Design Arena: agents building full-stack apps | Not measured | 1197 | Only MiniMax M3 measured |
| Design Arena: agents building mobile apps | Not measured | 1169 | Only MiniMax M3 measured |
| Design Arena: agents building Android apps | Not measured | 1159 | Only MiniMax M3 measured |
| Design Arena: agents building games | Not measured | 1159 | Only MiniMax M3 measured |
| Design Arena: HTML slides | Not measured | 1130 | Only MiniMax M3 measured |
| Design Arena: PowerPoint slides | Not measured | 1181 | Only MiniMax M3 measured |
| Design Arena: spreadsheets | Not measured | 1039 | Only MiniMax M3 measured |
| LiveBench research | 86.8% | 68.0% | DeepSeek V4.1 Flash |
| LiveBench browser | 84.0% | 8.0% | DeepSeek V4.1 Flash |
| LiveBench long agentic | 40.1% | 12.4% | DeepSeek V4.1 Flash |
| SREBench (Vals AI) | 0.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| Finance Agent (Vals AI) | 53.5% | 48.3% | DeepSeek V4.1 Flash |
| Tax Agent Bench (Vals AI) | 26.6% | 20.6% | DeepSeek V4.1 Flash |
| Legal Research Bench (Vals AI) | 41.4% | 29.8% | DeepSeek V4.1 Flash |
| Excel Modeling Benchmark (Vals AI) | 57.2% | 47.8% | 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 | 88.9% | Only MiniMax M3 measured |
| APEX-Agents | 39.5% | 37.7% | DeepSeek V4.1 Flash |
| OSWorld 2.0 | Not measured | 4.6% | Only MiniMax M3 measured |
| Vending-Bench 2 | Not measured | $2,158 | Only MiniMax M3 measured |
| Neither model has a result on the other 17 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index91
| Benchmark | DeepSeek V4.1 Flash | MiniMax M3 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 92.7% | Only MiniMax M3 measured |
| LiveBench reasoning | 86.7% | 74.5% | DeepSeek V4.1 Flash |
| MysteryMechanism (Vals AI) | 21.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| MMMU Pro (Vals AI) | Not measured | 81.2% | Only MiniMax M3 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 92.9% | Only MiniMax M3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 39.2% | 39.0% | DeepSeek V4.1 Flash |
| GPQA Diamond (Epoch AI run) | 89.8% | 90.9% | MiniMax M3 |
| 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 |
| SimpleBench | Not measured | 45.8% | Only MiniMax M3 measured |
| Chess puzzles | 48.0% | 13.0% | DeepSeek V4.1 Flash |
| Mystery game puzzles | 43.0% | 8.0% | DeepSeek V4.1 Flash |
| LMArena Text: hard prompts | 1483 | 1447 | DeepSeek V4.1 Flash |
| LMArena Text: expert | 1501 | 1461 | DeepSeek V4.1 Flash |
| LMArena Text: hard prompts in English | 1488 | 1455 | DeepSeek V4.1 Flash |
| LMArena Vision: diagrams | 1297 | 1266 | DeepSeek V4.1 Flash |
| LMArena Vision: homework | 1307 | 1268 | DeepSeek V4.1 Flash |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | DeepSeek V4.1 Flash | MiniMax M3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.3% | 71.1% | DeepSeek V4.1 Flash |
| 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% | 18.0% | DeepSeek V4.1 Flash |
| LMArena Text: math | 1478 | 1429 | DeepSeek V4.1 Flash |
| LMArena Text: mathematical work | 1485 | 1448 | 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 index42
| Benchmark | DeepSeek V4.1 Flash | MiniMax M3 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 84.2% | Only MiniMax M3 measured |
| LegalBench (Vals AI) | 83.3% | 85.4% | MiniMax M3 |
| CorpFin (Vals AI) | Not measured | 68.1% | Only MiniMax M3 measured |
| TaxEval (Vals AI) | Not measured | 72.7% | Only MiniMax M3 measured |
| MortgageTax (Vals AI) | Not measured | 68.4% | Only MiniMax M3 measured |
| MedCode (Vals AI) | 41.2% | 46.3% | MiniMax M3 |
| SimpleQA Verified | 42.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: science | 1469 | 1452 | DeepSeek V4.1 Flash |
| LMArena Text: medicine and healthcare | 1484 | 1441 | DeepSeek V4.1 Flash |
| LMArena Text: legal and government | 1443 | 1437 | DeepSeek V4.1 Flash |
| LMArena Text: business and finance | 1461 | 1434 | DeepSeek V4.1 Flash |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | DeepSeek V4.1 Flash | MiniMax M3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1308 | 1257 | DeepSeek V4.1 Flash |
| Design Arena: UI components | 1312 | 1243 | DeepSeek V4.1 Flash |
| Design Arena: game dev | 1330 | 1211 | DeepSeek V4.1 Flash |
| Design Arena: data viz | 1291 | 1236 | DeepSeek V4.1 Flash |
| Design Arena: 3D | 1355 | 1208 | DeepSeek V4.1 Flash |
| Design Arena: all code categories | 1319 | 1246 | DeepSeek V4.1 Flash |
| Design Arena: SVG | 1244 | 1160 | DeepSeek V4.1 Flash |
| Design Arena: ASCII art | 1265 | 1161 | DeepSeek V4.1 Flash |
| LiveBench design | 79.2% | 66.2% | DeepSeek V4.1 Flash |
GeneralLike-for-likePublic boards, shown as published, kept out of the index283
| Benchmark | DeepSeek V4.1 Flash | MiniMax M3 | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.3% | 76.2% | DeepSeek V4.1 Flash |
| Public Benefits Bench (Vals AI) | 64.3% | 64.1% | DeepSeek V4.1 Flash |
| SAGE (Vals AI) | 47.9% | 50.6% | MiniMax M3 |
| MedScribe (Vals AI) | 85.5% | 87.3% | MiniMax M3 |
| Vals Multimodal Index | Not measured | 60.0% | Only MiniMax M3 measured |
| IFBench | Not measured | 82.9% | Only MiniMax M3 measured |
| Long context reasoning (AA-LCR) | 84.0% | 83.0% | DeepSeek V4.1 Flash |
| DTBench | 89.9% | 78.9% | DeepSeek V4.1 Flash |
| LMCA | 47.0% | 33.7% | DeepSeek V4.1 Flash |
| Surface Evolver Bench | 46.3% | 55.0% | MiniMax M3 |
| Furniture assembly | 34.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text | 1464 | 1433 | DeepSeek V4.1 Flash |
| LMArena Text: instruction following | 1473 | 1433 | DeepSeek V4.1 Flash |
| LMArena Text: creative writing | 1437 | 1404 | DeepSeek V4.1 Flash |
| LMArena Vision | 1278 | 1251 | DeepSeek V4.1 Flash |
| LMArena Text: English | 1473 | 1443 | DeepSeek V4.1 Flash |
| LMArena Text: non-English | 1449 | 1420 | DeepSeek V4.1 Flash |
| LMArena Text: Chinese | 1501 | 1466 | DeepSeek V4.1 Flash |
| LMArena Text: German | 1470 | 1428 | DeepSeek V4.1 Flash |
| LMArena Text: Japanese | 1432 | 1380 | DeepSeek V4.1 Flash |
| LMArena Text: Korean | 1436 | 1373 | DeepSeek V4.1 Flash |
| LMArena Text: French | 1465 | 1444 | DeepSeek V4.1 Flash |
| LMArena Text: Spanish | 1459 | 1433 | DeepSeek V4.1 Flash |
| LMArena Text: Russian | 1467 | 1426 | DeepSeek V4.1 Flash |
| LMArena Text: Polish | 1457 | 1423 | DeepSeek V4.1 Flash |
| LMArena Text: multi-turn | 1461 | 1443 | DeepSeek V4.1 Flash |
| LMArena Text: longer queries | 1473 | 1446 | DeepSeek V4.1 Flash |
| LMArena Text: writing and language | 1450 | 1419 | DeepSeek V4.1 Flash |
| LMArena Text: entertainment and media | 1445 | 1403 | DeepSeek V4.1 Flash |
| LMArena Vision: English | 1288 | 1263 | DeepSeek V4.1 Flash |
| LMArena Vision: Chinese | 1327 | 1311 | DeepSeek V4.1 Flash |
| LMArena Vision: reading text | 1282 | 1259 | DeepSeek V4.1 Flash |
| LMArena Vision: humor | 1260 | 1235 | DeepSeek V4.1 Flash |
| LMArena Vision: recognizing things | Not measured | 1197 | Only MiniMax M3 measured |
| LMArena Vision: creative writing | 1275 | 1234 | DeepSeek V4.1 Flash |
| LMArena Document | Not measured | 1435 | Only MiniMax M3 measured |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4.1 Flash | MiniMax M3 | 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 | MiniMax M3 |
|---|---|---|
| Maker | DeepSeek | MiniMax |
| Weights | Open weights | Open weights |
| Released | September 10, 2026 | May 31, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.21 | $0.30 |
| Output $/Mtok | $0.84 | $1.20 |
| Coding index | 62.5 | 39.2 |
| Independent measurements behind it | 5 | 6 |
| Cost per solved task | Not computable | $0.56 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4.1 Flash better than MiniMax M3 for coding?
Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 5 benchmarks against 6. Pick MiniMax M3 for work measured by AA Intelligence Index or GPQA Diamond (Epoch AI run), where it leads.
Which is cheaper, DeepSeek V4.1 Flash or MiniMax M3?
DeepSeek V4.1 Flash costs $0.21 per million input tokens and $0.84 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M3 only.
Which has the bigger context window, DeepSeek V4.1 Flash or MiniMax M3?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4.1 Flash vs MiniMax M3 comparison based on?
88 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 MiniMax M3's on 6. Where only one model has a result, the page says so instead of naming a winner.