DeepSeek V4 Pro 0813 vs MiniMax M3
DeepSeek V4 Pro 0813 leads MiniMax M3 on coding, 56.1 to 39.2 on the Vibe Coding Index, and MiniMax M3 costs 1.7x less per output token ($1.20 vs $1.98 per million). Updated October 22, 2026; 66 benchmarks have a result for both.
DeepSeek V4 Pro 0813 or MiniMax M3: which to pick
Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 5 benchmarks against 6.
Pick MiniMax M3 for output tokens 1.7x cheaper ($1.20 vs $1.98 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 66
- DeepSeek V4 Pro 0813 only
- 12
- MiniMax M3 only
- 50
- Like-for-like categories
- 7 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 Pro 0813
DeepSeek V4 Pro 0813 scores 56.1 against 39.2.
5 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 36.0 against 29.2.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 41.3 against 29.5.
Same board, both measured
Reasoning
GPQA Diamond
MiniMax M3
MiniMax M3 leads, 92.7% against 92.4%.
Same board, both measured
Knowledge
MMLU Pro
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 87.0% against 84.2%.
Same board, both measured
Web design
Design Arena: websites
No call
Only MiniMax M3 has a Design Arena: websites result, 1257.
Directional only
General
Vals Index
No call
Only DeepSeek V4 Pro 0813 has a Vals Index result, 53.0%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M3
DeepSeek V4 Pro 0813 $0.0016, MiniMax M3 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 $0.10, MiniMax M3 $0.56.
Published attempt cost and pass rate
At a glance
- Coding index
- DeepSeek V4 Pro 0813 56.1 from 5 benchmarks, MiniMax M3 39.2 from 6 benchmarks.
- Widest category
- Math, 15.6 points apart on average over 4 shared benchmarks.
- Widest single gap
- Mystery game puzzles: DeepSeek V4 Pro 0813 43.0% against MiniMax M3 8.0%, 35.0 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Pro 0813 $1.98 against MiniMax M3 $1.20 per million output tokens, 1.7x 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 Pro 0813 | Bars | MiniMax M3 | Ties |
|---|---|---|---|---|
| Coding | 16 | 2 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 6 | 0 | ||
| Reasoning | 6 | 3 | ||
| Math | 3 | 1 | ||
| Knowledge | 6 | 3 | ||
| General | 16 | 2 | ||
| All shared boards | 55 | 11 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index162
| Benchmark | DeepSeek V4 Pro 0813 | MiniMax M3 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 70.9% | Only MiniMax M3 measured |
| LMArena WebDev | 1582 | 1482 | DeepSeek V4 Pro 0813 |
| AA Coding Index | 68.8 | 58.6 | DeepSeek V4 Pro 0813 |
| LiveCodeBench (Vals AI) | 87.5% | 82.2% | DeepSeek V4 Pro 0813 |
| SWE-bench Verified (Vals AI) | 96.4% | 75.0% | DeepSeek V4 Pro 0813 |
| Terminal-Bench 4 (Vals AI) | 14.1% | 1.0% | DeepSeek V4 Pro 0813 |
| Vibe Code Bench (Vals AI) | 82.3% | 47.6% | DeepSeek V4 Pro 0813 |
| Code migration (Vals AI) | 41.5% | 19.9% | DeepSeek V4 Pro 0813 |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| IOI (Vals AI) | 51.6% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench 2.1 (Vals AI) | 54.7% | 53.6% | DeepSeek V4 Pro 0813 |
| SWE-bench Multimodal (Vals AI) | Not measured | 33.3% | Only MiniMax M3 measured |
| Vibe Code Bench 1-100 (Vals AI) | 17.5% | 9.2% | DeepSeek V4 Pro 0813 |
| SkillsBench (Vals AI) | 53.8% | 51.5% | DeepSeek V4 Pro 0813 |
| CyberBench (Vals AI) | 72.9% | 65.0% | DeepSeek V4 Pro 0813 |
| SciCode | 51.0% | 47.1% | DeepSeek V4 Pro 0813 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 42.4% | Only MiniMax M3 measured |
| FrontierCode | 28.5% | 14.7% | DeepSeek V4 Pro 0813 |
| WeirdML | 66.2% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| ALE-Bench | 1403.2 | 640.0 | DeepSeek V4 Pro 0813 |
| LMArena Text: coding | 1469 | 1470 | MiniMax M3 |
| LMArena Text: software and IT | 1462 | 1466 | MiniMax M3 |
| LMArena WebDev: React | 1588 | 1478 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: HTML | 1566 | 1455 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: from an image | Not measured | 1470 | Only MiniMax M3 measured |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V4 Pro 0813 | MiniMax M3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 36.0 | 29.2 | DeepSeek V4 Pro 0813 |
| Epoch Capabilities Index | 155.6 | 146.9 | DeepSeek V4 Pro 0813 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | DeepSeek V4 Pro 0813 | MiniMax M3 | Leader |
|---|---|---|---|
| AA Agentic Index | 41.3 | 29.5 | DeepSeek V4 Pro 0813 |
| 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 | 1158 | 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 | 1028 | Only MiniMax M3 measured |
| LiveBench research | Not measured | 68.0% | Only MiniMax M3 measured |
| LiveBench browser | Not measured | 8.0% | Only MiniMax M3 measured |
| LiveBench long agentic | Not measured | 12.4% | Only MiniMax M3 measured |
| SREBench (Vals AI) | 1.9% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Finance Agent (Vals AI) | 50.4% | 48.3% | DeepSeek V4 Pro 0813 |
| Tax Agent Bench (Vals AI) | 26.8% | 20.6% | DeepSeek V4 Pro 0813 |
| Legal Research Bench (Vals AI) | 40.9% | 29.8% | DeepSeek V4 Pro 0813 |
| Harvey's Legal Agent Benchmark (Vals AI) | 10.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Excel Modeling Benchmark (Vals AI) | 52.8% | 47.8% | DeepSeek V4 Pro 0813 |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| τ²-Bench Telecom | Not measured | 88.9% | Only MiniMax M3 measured |
| APEX-Agents | 47.3% | 37.7% | DeepSeek V4 Pro 0813 |
| 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 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index63
| Benchmark | DeepSeek V4 Pro 0813 | MiniMax M3 | Leader |
|---|---|---|---|
| GPQA Diamond | 92.4% | 92.7% | MiniMax M3 |
| LiveBench reasoning | Not measured | 74.5% | Only MiniMax M3 measured |
| MMMU Pro (Vals AI) | Not measured | 81.2% | Only MiniMax M3 measured |
| GPQA Diamond (Artificial Analysis run) | 92.8% | 92.9% | MiniMax M3 |
| Humanity's Last Exam (Artificial Analysis run) | 41.0% | 39.0% | DeepSeek V4 Pro 0813 |
| GPQA Diamond (Epoch AI run) | 91.7% | 90.9% | DeepSeek V4 Pro 0813 |
| ARC-AGI | 90.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| ARC-AGI-2 | 61.3% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SimpleBench | Not measured | 45.8% | Only MiniMax M3 measured |
| Chess puzzles | 46.0% | 13.0% | DeepSeek V4 Pro 0813 |
| Mystery game puzzles | 43.0% | 8.0% | DeepSeek V4 Pro 0813 |
| LMArena Text: hard prompts | 1458 | 1447 | DeepSeek V4 Pro 0813 |
| LMArena Text: expert | 1459 | 1461 | MiniMax M3 |
| LMArena Text: hard prompts in English | 1463 | 1455 | DeepSeek V4 Pro 0813 |
| LMArena Vision: diagrams | Not measured | 1266 | Only MiniMax M3 measured |
| LMArena Vision: homework | Not measured | 1268 | Only MiniMax M3 measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | DeepSeek V4 Pro 0813 | MiniMax M3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.6% | 71.1% | DeepSeek V4 Pro 0813 |
| FrontierMath, tiers 1 to 3 | 64.6% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| FrontierMath, tier 4 | 26.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| ProofBench | 50.0% | 18.0% | DeepSeek V4 Pro 0813 |
| LMArena Text: math | 1441 | 1429 | DeepSeek V4 Pro 0813 |
| LMArena Text: mathematical work | 1443 | 1448 | MiniMax M3 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index63
| Benchmark | DeepSeek V4 Pro 0813 | MiniMax M3 | Leader |
|---|---|---|---|
| MMLU Pro | 87.0% | 84.2% | DeepSeek V4 Pro 0813 |
| LegalBench (Vals AI) | 82.4% | 85.4% | MiniMax M3 |
| CorpFin (Vals AI) | 65.4% | 68.1% | MiniMax M3 |
| TaxEval (Vals AI) | 73.1% | 72.7% | DeepSeek V4 Pro 0813 |
| MortgageTax (Vals AI) | Not measured | 68.4% | Only MiniMax M3 measured |
| MedCode (Vals AI) | 42.5% | 46.3% | MiniMax M3 |
| SimpleQA Verified | 52.9% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: science | 1457 | 1452 | DeepSeek V4 Pro 0813 |
| LMArena Text: medicine and healthcare | 1446 | 1441 | DeepSeek V4 Pro 0813 |
| LMArena Text: legal and government | 1459 | 1437 | DeepSeek V4 Pro 0813 |
| LMArena Text: business and finance | 1442 | 1434 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | DeepSeek V4 Pro 0813 | MiniMax M3 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1257 | Only MiniMax M3 measured |
| Design Arena: UI components | Not measured | 1242 | Only MiniMax M3 measured |
| Design Arena: game dev | Not measured | 1210 | Only MiniMax M3 measured |
| Design Arena: data viz | Not measured | 1236 | Only MiniMax M3 measured |
| Design Arena: 3D | Not measured | 1208 | Only MiniMax M3 measured |
| Design Arena: all code categories | Not measured | 1247 | Only MiniMax M3 measured |
| Design Arena: SVG | Not measured | 1161 | Only MiniMax M3 measured |
| Design Arena: ASCII art | Not measured | 1161 | Only MiniMax M3 measured |
| LiveBench design | Not measured | 66.2% | Only MiniMax M3 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index162
| Benchmark | DeepSeek V4 Pro 0813 | MiniMax M3 | Leader |
|---|---|---|---|
| Vals Index | 53.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LiveBench data analysis | Not measured | 76.2% | Only MiniMax M3 measured |
| Public Benefits Bench (Vals AI) | Not measured | 64.1% | Only MiniMax M3 measured |
| SAGE (Vals AI) | Not measured | 50.6% | Only MiniMax M3 measured |
| MedScribe (Vals AI) | 80.2% | 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) | 80.3% | 83.0% | MiniMax M3 |
| DTBench | 93.9% | 78.9% | DeepSeek V4 Pro 0813 |
| LMCA | 45.5% | 33.7% | DeepSeek V4 Pro 0813 |
| Surface Evolver Bench | Not measured | 55.0% | Only MiniMax M3 measured |
| LMArena Text | 1446 | 1433 | DeepSeek V4 Pro 0813 |
| LMArena Text: instruction following | 1448 | 1433 | DeepSeek V4 Pro 0813 |
| LMArena Text: creative writing | 1439 | 1404 | DeepSeek V4 Pro 0813 |
| LMArena Vision | Not measured | 1251 | Only MiniMax M3 measured |
| LMArena Text: English | 1457 | 1443 | DeepSeek V4 Pro 0813 |
| LMArena Text: non-English | 1431 | 1420 | DeepSeek V4 Pro 0813 |
| LMArena Text: Chinese | 1481 | 1466 | DeepSeek V4 Pro 0813 |
| LMArena Text: German | Not measured | 1428 | Only MiniMax M3 measured |
| LMArena Text: Japanese | Not measured | 1380 | Only MiniMax M3 measured |
| LMArena Text: Korean | 1449 | 1373 | DeepSeek V4 Pro 0813 |
| LMArena Text: French | 1446 | 1444 | DeepSeek V4 Pro 0813 |
| LMArena Text: Spanish | 1435 | 1433 | DeepSeek V4 Pro 0813 |
| LMArena Text: Russian | 1448 | 1426 | DeepSeek V4 Pro 0813 |
| LMArena Text: Polish | Not measured | 1423 | Only MiniMax M3 measured |
| LMArena Text: multi-turn | 1454 | 1443 | DeepSeek V4 Pro 0813 |
| LMArena Text: longer queries | 1458 | 1446 | DeepSeek V4 Pro 0813 |
| LMArena Text: writing and language | 1443 | 1419 | DeepSeek V4 Pro 0813 |
| LMArena Text: entertainment and media | 1424 | 1403 | DeepSeek V4 Pro 0813 |
| LMArena Vision: English | Not measured | 1263 | Only MiniMax M3 measured |
| LMArena Vision: Chinese | Not measured | 1311 | Only MiniMax M3 measured |
| LMArena Vision: reading text | Not measured | 1259 | Only MiniMax M3 measured |
| LMArena Vision: humor | Not measured | 1235 | Only MiniMax M3 measured |
| LMArena Vision: recognizing things | Not measured | 1197 | Only MiniMax M3 measured |
| LMArena Vision: creative writing | Not measured | 1234 | Only MiniMax M3 measured |
| 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 Pro 0813 | 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
MiniMax M3 costs less
Repository review
50K input + 3K output tokens
MiniMax M3 costs less
Agent loop
200K input + 10K output tokens
MiniMax M3 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 Pro 0813 | MiniMax M3 |
|---|---|---|
| Maker | DeepSeek | MiniMax |
| Weights | Open weights | Open weights |
| Released | August 12, 2026 | May 31, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.66 | $0.30 |
| Output $/Mtok | $1.98 | $1.20 |
| Coding index | 56.1 | 39.2 |
| Independent measurements behind it | 5 | 6 |
| Cost per solved task | $0.10 | $0.56 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Pro 0813 better than MiniMax M3 for coding?
Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 5 benchmarks against 6. Pick MiniMax M3 for output tokens 1.7x cheaper ($1.20 vs $1.98 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, DeepSeek V4 Pro 0813 or MiniMax M3?
DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0813 costs $0.10 and MiniMax M3 $0.56.
Which has the bigger context window, DeepSeek V4 Pro 0813 or MiniMax M3?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4 Pro 0813 vs MiniMax M3 comparison based on?
66 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0813'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.