DeepSeek V4.1 Flash 1017 vs MiniMax M3.1 Flash
DeepSeek V4.1 Flash 1017 leads MiniMax M3.1 Flash on coding, 70.3 to 59.0 on the Vibe Coding Index, at about the same output price ($0.60 vs $0.60 per million). Updated October 22, 2026; 20 benchmarks have a result for both.
DeepSeek V4.1 Flash 1017 or MiniMax M3.1 Flash: which to pick
Pick DeepSeek V4.1 Flash 1017 for coding: it scores 70.3 on the Vibe Coding Index against 59.0 for MiniMax M3.1 Flash.
Pick MiniMax M3.1 Flash for work measured by AA Intelligence Index or LiveBench browser, where it leads.
- Shared results
- 20
- DeepSeek V4.1 Flash 1017 only
- 19
- MiniMax M3.1 Flash only
- 0
- Like-for-like categories
- 6 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 1017
DeepSeek V4.1 Flash 1017 scores 70.3 against 59.0.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
MiniMax M3.1 Flash
MiniMax M3.1 Flash leads, 42.7 against 39.5.
Same board, both measured
Web design
Design Arena: websites
No call
Only DeepSeek V4.1 Flash 1017 has a Design Arena: websites result, 1310.
Directional only
General
Vals Index
DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 leads, 61.3% against 53.8%.
Same board, both measured
Long documents
Listed context window
DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
No call
DeepSeek V4.1 Flash 1017 $0.0004, MiniMax M3.1 Flash $0.0004 per turn.
List prices
At a glance
- Coding index
- DeepSeek V4.1 Flash 1017 70.3 from 4 benchmarks, MiniMax M3.1 Flash 59.0 from 4 benchmarks.
- Widest category
- Agentic work, 11.5 points apart on average over 6 shared benchmarks.
- Widest single gap
- LiveBench long agentic: DeepSeek V4.1 Flash 1017 50.9% against MiniMax M3.1 Flash 34.7%, 16.2 points apart on a 0 to 100 scale.
- Output price
- Both cost $0.60 per million output tokens.
- Context window
- DeepSeek V4.1 Flash 1017 takes 1.05M tokens, MiniMax M3.1 Flash 1M.
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 | MiniMax M3.1 Flash | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 5 | 1 | ||
| Reasoning | 1 | 1 | ||
| Web design | 1 | 0 | ||
| General | 3 | 0 | ||
| All shared boards | 17 | 3 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
| Benchmark | DeepSeek V4.1 Flash 1017 | MiniMax M3.1 Flash | Leader |
|---|---|---|---|
| LiveBench coding | 96.0% | 83.9% | DeepSeek V4.1 Flash 1017 |
| LMArena WebDev | 1664 | 1587 | DeepSeek V4.1 Flash 1017 |
| Terminal-Bench 4 (Vals AI) | 31.8% | 25.3% | DeepSeek V4.1 Flash 1017 |
| Vibe Code Bench (Vals AI) | 87.7% | 73.9% | DeepSeek V4.1 Flash 1017 |
| Code migration (Vals AI) | 44.2% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| SciCode | 55.9% | 53.4% | DeepSeek V4.1 Flash 1017 |
| ALE-Bench | 1622.0 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LMArena WebDev: React | 1667 | 1609 | DeepSeek V4.1 Flash 1017 |
| LMArena WebDev: HTML | 1687 | 1529 | DeepSeek V4.1 Flash 1017 |
| Neither model has a result on the other 34 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V4.1 Flash 1017 | MiniMax M3.1 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 39.5 | 42.7 | MiniMax M3.1 Flash |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | DeepSeek V4.1 Flash 1017 | MiniMax M3.1 Flash | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | 1259 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LiveBench research | 79.5% | 72.7% | DeepSeek V4.1 Flash 1017 |
| LiveBench browser | 76.0% | 92.0% | MiniMax M3.1 Flash |
| LiveBench long agentic | 50.9% | 34.7% | DeepSeek V4.1 Flash 1017 |
| Finance Agent (Vals AI) | 57.0% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Tax Agent Bench (Vals AI) | 44.4% | 32.1% | DeepSeek V4.1 Flash 1017 |
| Legal Research Bench (Vals AI) | 45.2% | 34.1% | DeepSeek V4.1 Flash 1017 |
| Harvey's Legal Agent Benchmark (Vals AI) | 14.2% | 7.5% | DeepSeek V4.1 Flash 1017 |
| Excel Modeling Benchmark (Vals AI) | 61.8% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Neither model has a result on the other 33 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | DeepSeek V4.1 Flash 1017 | MiniMax M3.1 Flash | Leader |
|---|---|---|---|
| LiveBench reasoning | 89.1% | 82.9% | DeepSeek V4.1 Flash 1017 |
| Humanity's Last Exam (Artificial Analysis run) | 43.3% | 48.0% | MiniMax M3.1 Flash |
| GPQA Diamond (Epoch AI run) | 93.2% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Chess puzzles | 46.0% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Mystery game puzzles | 49.0% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Neither model has a result on the other 18 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | DeepSeek V4.1 Flash 1017 | MiniMax M3.1 Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | 99.4% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| FrontierMath, tiers 1 to 3 | 71.2% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| FrontierMath, tier 4 | 46.3% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | DeepSeek V4.1 Flash 1017 | MiniMax M3.1 Flash | Leader |
|---|---|---|---|
| SimpleQA Verified | 42.5% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Neither model has a result on the other 19 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4.1 Flash 1017 | MiniMax M3.1 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1310 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: UI components | 1306 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: game dev | 1352 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: data viz | 1306 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: 3D | 1363 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: all code categories | 1330 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: ASCII art | 1233 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LiveBench design | 83.4% | 74.0% | DeepSeek V4.1 Flash 1017 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | DeepSeek V4.1 Flash 1017 | MiniMax M3.1 Flash | Leader |
|---|---|---|---|
| Vals Index | 61.3% | 53.8% | DeepSeek V4.1 Flash 1017 |
| LiveBench data analysis | 79.5% | 71.4% | DeepSeek V4.1 Flash 1017 |
| Long context reasoning (AA-LCR) | 82.7% | 79.7% | DeepSeek V4.1 Flash 1017 |
| Neither model has a result on the other 45 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4.1 Flash 1017 | MiniMax M3.1 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
Same cost
Repository review
50K input + 3K output tokens
Same cost
Agent loop
200K input + 10K output tokens
Same cost
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 | MiniMax M3.1 Flash |
|---|---|---|
| Maker | DeepSeek | MiniMax |
| Weights | Open weights | No public weights listed |
| Released | October 17, 2026 | October 19, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $0.15 | $0.15 |
| Output $/Mtok | $0.60 | $0.60 |
| Coding index | 70.3 | 59.0 |
| Independent measurements behind it | 4 | 4 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4.1 Flash 1017 better than MiniMax M3.1 Flash for coding?
Pick DeepSeek V4.1 Flash 1017 for coding: it scores 70.3 on the Vibe Coding Index against 59.0 for MiniMax M3.1 Flash. Pick MiniMax M3.1 Flash for work measured by AA Intelligence Index or LiveBench browser, where it leads.
Which is cheaper, DeepSeek V4.1 Flash 1017 or MiniMax M3.1 Flash?
DeepSeek V4.1 Flash 1017 costs $0.15 per million input tokens and $0.60 per million output tokens; MiniMax M3.1 Flash costs $0.15 and $0.60. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V4.1 Flash 1017 or MiniMax M3.1 Flash?
DeepSeek V4.1 Flash 1017, with 1.05M tokens against 1M.
How many benchmarks is the DeepSeek V4.1 Flash 1017 vs MiniMax M3.1 Flash comparison based on?
20 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4.1 Flash 1017's coding index rests on 4 independent benchmarks and MiniMax M3.1 Flash's on 4. Where only one model has a result, the page says so instead of naming a winner.