DeepSeek V4.1 Flash 1017 vs DeepSeek V4 Flash 0731
DeepSeek V4.1 Flash 1017 leads DeepSeek V4 Flash 0731 on coding, 70.3 to 51.8 on the Vibe Coding Index, and DeepSeek V4 Flash 0731 costs 2.1x less per output token ($0.28 vs $0.60 per million). Updated October 21, 2026; 26 benchmarks have a result for both.
DeepSeek V4.1 Flash 1017 or DeepSeek V4 Flash 0731: which to pick
Pick DeepSeek V4.1 Flash 1017 for coding: it scores 70.3 on the Vibe Coding Index against 51.8 for DeepSeek V4 Flash 0731.
Pick DeepSeek V4 Flash 0731 for output tokens 2.1x cheaper ($0.28 vs $0.60 per million).
- Shared results
- 26
- DeepSeek V4.1 Flash 1017 only
- 13
- DeepSeek V4 Flash 0731 only
- 29
- 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 1017
DeepSeek V4.1 Flash 1017 scores 70.3 against 51.8.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 leads, 39.5 against 34.3.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Flash 0731 has a AA Agentic Index result, 41.0.
Directional only
Reasoning
GPQA Diamond
No call
Only DeepSeek V4 Flash 0731 has a GPQA Diamond result, 89.9%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V4 Flash 0731 has a MMLU Pro result, 86.2%.
Directional only
Web design
Design Arena: websites
DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 leads, 1312 against 1238.
Same board, both measured
General
Vals Index
No call
Only DeepSeek V4.1 Flash 1017 has a Vals Index result, 61.3%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Flash 0731
DeepSeek V4.1 Flash 1017 $0.0004, DeepSeek V4 Flash 0731 $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only DeepSeek V4 Flash 0731 has the number, $0.01.
Directional only
At a glance
- Coding index
- DeepSeek V4.1 Flash 1017 70.3 from 4 benchmarks, DeepSeek V4 Flash 0731 51.8 from 4 benchmarks.
- Widest category
- Web design, 15.5 points apart on average over 7 shared benchmarks.
- Widest single gap
- FrontierMath, tier 4: DeepSeek V4.1 Flash 1017 46.3% against DeepSeek V4 Flash 0731 24.4%, 22.0 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4.1 Flash 1017 $0.60 against DeepSeek V4 Flash 0731 $0.28 per million output tokens, 2.1x 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 1017 | Bars | DeepSeek V4 Flash 0731 | Ties |
|---|---|---|---|---|
| Coding | 5 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 4 | 0 | ||
| Reasoning | 4 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 1 | 0 | ||
| Web design | 7 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 26 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
| Benchmark | DeepSeek V4.1 Flash 1017 | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| LiveBench coding | 96.0% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LMArena WebDev | 1664 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| AA Coding Index | Not measured | 69.1 | Only DeepSeek V4 Flash 0731 measured |
| LiveCodeBench (Vals AI) | Not measured | 87.3% | Only DeepSeek V4 Flash 0731 measured |
| SWE-bench Verified (Vals AI) | Not measured | 88.8% | Only DeepSeek V4 Flash 0731 measured |
| Terminal-Bench 4 (Vals AI) | 31.8% | 18.7% | DeepSeek V4.1 Flash 1017 |
| Vibe Code Bench (Vals AI) | 87.7% | 74.7% | DeepSeek V4.1 Flash 1017 |
| Code migration (Vals AI) | 44.2% | 38.6% | DeepSeek V4.1 Flash 1017 |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only DeepSeek V4 Flash 0731 measured |
| IOI (Vals AI) | Not measured | 32.7% | Only DeepSeek V4 Flash 0731 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 67.0% | Only DeepSeek V4 Flash 0731 measured |
| SkillsBench (Vals AI) | Not measured | 50.7% | Only DeepSeek V4 Flash 0731 measured |
| CyberBench (Vals AI) | Not measured | 72.1% | Only DeepSeek V4 Flash 0731 measured |
| SciCode | 55.9% | 50.3% | DeepSeek V4.1 Flash 1017 |
| FrontierCode | Not measured | 18.8% | Only DeepSeek V4 Flash 0731 measured |
| WeirdML | Not measured | 63.0% | Only DeepSeek V4 Flash 0731 measured |
| ALE-Bench | 1622.0 | 1306.1 | DeepSeek V4.1 Flash 1017 |
| LMArena WebDev: React | 1667 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LMArena WebDev: HTML | 1687 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4.1 Flash 1017 | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| AA Intelligence Index | 39.5 | 34.3 | DeepSeek V4.1 Flash 1017 |
| Epoch Capabilities Index | Not measured | 154.8 | Only DeepSeek V4 Flash 0731 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | DeepSeek V4.1 Flash 1017 | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 41.0 | Only DeepSeek V4 Flash 0731 measured |
| Design Arena: spreadsheets | 1230 | 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 |
| Finance Agent (Vals AI) | 57.0% | 49.5% | DeepSeek V4.1 Flash 1017 |
| Tax Agent Bench (Vals AI) | 44.4% | 28.1% | DeepSeek V4.1 Flash 1017 |
| Legal Research Bench (Vals AI) | 45.2% | 30.3% | DeepSeek V4.1 Flash 1017 |
| Harvey's Legal Agent Benchmark (Vals AI) | 14.2% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Excel Modeling Benchmark (Vals AI) | 61.8% | 57.0% | DeepSeek V4.1 Flash 1017 |
| BioMysteryBench (Vals AI) | Not measured | 64.4% | Only DeepSeek V4 Flash 0731 measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only DeepSeek V4 Flash 0731 measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | DeepSeek V4.1 Flash 1017 | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 89.9% | Only DeepSeek V4 Flash 0731 measured |
| LiveBench reasoning | 89.1% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 90.8% | Only DeepSeek V4 Flash 0731 measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.3% | 38.6% | DeepSeek V4.1 Flash 1017 |
| GPQA Diamond (Epoch AI run) | 93.2% | 91.0% | DeepSeek V4.1 Flash 1017 |
| ARC-AGI | Not measured | 89.0% | Only DeepSeek V4 Flash 0731 measured |
| ARC-AGI-2 | Not measured | 61.4% | Only DeepSeek V4 Flash 0731 measured |
| SimpleBench | Not measured | 61.1% | Only DeepSeek V4 Flash 0731 measured |
| Chess puzzles | 46.0% | 32.0% | DeepSeek V4.1 Flash 1017 |
| Mystery game puzzles | 49.0% | 34.0% | DeepSeek V4.1 Flash 1017 |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | DeepSeek V4.1 Flash 1017 | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 99.4% | 94.4% | DeepSeek V4.1 Flash 1017 |
| FrontierMath, tiers 1 to 3 | 71.2% | 57.5% | DeepSeek V4.1 Flash 1017 |
| FrontierMath, tier 4 | 46.3% | 24.4% | DeepSeek V4.1 Flash 1017 |
| ProofBench | Not measured | 56.0% | Only DeepSeek V4 Flash 0731 measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4.1 Flash 1017 | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 86.2% | Only DeepSeek V4 Flash 0731 measured |
| LegalBench (Vals AI) | Not measured | 77.7% | Only DeepSeek V4 Flash 0731 measured |
| CorpFin (Vals AI) | Not measured | 61.9% | Only DeepSeek V4 Flash 0731 measured |
| TaxEval (Vals AI) | Not measured | 70.7% | Only DeepSeek V4 Flash 0731 measured |
| MedCode (Vals AI) | Not measured | 41.4% | Only DeepSeek V4 Flash 0731 measured |
| SimpleQA Verified | 42.5% | 33.6% | DeepSeek V4.1 Flash 1017 |
| Neither model has a result on the other 12 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | DeepSeek V4.1 Flash 1017 | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| Design Arena: websites | 1312 | 1238 | DeepSeek V4.1 Flash 1017 |
| Design Arena: UI components | 1300 | 1235 | DeepSeek V4.1 Flash 1017 |
| Design Arena: game dev | 1362 | 1208 | DeepSeek V4.1 Flash 1017 |
| Design Arena: data viz | 1335 | 1180 | DeepSeek V4.1 Flash 1017 |
| Design Arena: 3D | 1372 | 1209 | DeepSeek V4.1 Flash 1017 |
| Design Arena: all code categories | 1334 | 1230 | DeepSeek V4.1 Flash 1017 |
| Design Arena: SVG | Not measured | 1185 | Only DeepSeek V4 Flash 0731 measured |
| Design Arena: ASCII art | 1243 | 1090 | DeepSeek V4.1 Flash 1017 |
| LiveBench design | 83.4% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4.1 Flash 1017 | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| Vals Index | 61.3% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LiveBench data analysis | 79.5% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| MedScribe (Vals AI) | Not measured | 80.4% | Only DeepSeek V4 Flash 0731 measured |
| Long context reasoning (AA-LCR) | 82.7% | 79.7% | DeepSeek V4.1 Flash 1017 |
| DTBench | Not measured | 90.9% | Only DeepSeek V4 Flash 0731 measured |
| LMCA | Not measured | 41.7% | Only DeepSeek V4 Flash 0731 measured |
| Neither model has a result on the other 40 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4.1 Flash 1017 | DeepSeek V4 Flash 0731 | 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 Flash 0731 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Flash 0731 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Flash 0731 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 | DeepSeek V4 Flash 0731 |
|---|---|---|
| Maker | DeepSeek | DeepSeek |
| Weights | Open weights | Open weights |
| Released | October 17, 2026 | July 31, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.15 | $0.14 |
| Output $/Mtok | $0.60 | $0.28 |
| Coding index | 70.3 | 51.8 |
| Independent measurements behind it | 4 | 4 |
| Cost per solved task | Not computable | $0.01 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4.1 Flash 1017 better than DeepSeek V4 Flash 0731 for coding?
Pick DeepSeek V4.1 Flash 1017 for coding: it scores 70.3 on the Vibe Coding Index against 51.8 for DeepSeek V4 Flash 0731. Pick DeepSeek V4 Flash 0731 for output tokens 2.1x cheaper ($0.28 vs $0.60 per million).
Which is cheaper, DeepSeek V4.1 Flash 1017 or DeepSeek V4 Flash 0731?
DeepSeek V4.1 Flash 1017 costs $0.15 per million input tokens and $0.60 per million output tokens; DeepSeek V4 Flash 0731 costs $0.14 and $0.28. Cost per solved task is known for DeepSeek V4 Flash 0731 only.
Which has the bigger context window, DeepSeek V4.1 Flash 1017 or DeepSeek V4 Flash 0731?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4.1 Flash 1017 vs DeepSeek V4 Flash 0731 comparison based on?
26 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4.1 Flash 1017's coding index rests on 4 independent benchmarks and DeepSeek V4 Flash 0731's on 4. Where only one model has a result, the page says so instead of naming a winner.