DeepSeek V4.1 Flash 1017 vs DeepSeek V4 Pro 0813
DeepSeek V4.1 Flash 1017 leads DeepSeek V4 Pro 0813 on coding, 70.3 to 56.1 on the Vibe Coding Index, and DeepSeek V4.1 Flash 1017 costs 3.3x less per output token ($0.60 vs $1.98 per million). Updated October 22, 2026; 24 benchmarks have a result for both.
DeepSeek V4.1 Flash 1017 or DeepSeek V4 Pro 0813: which to pick
Pick DeepSeek V4.1 Flash 1017 for coding: it scores 70.3 on the Vibe Coding Index against 56.1 for DeepSeek V4 Pro 0813, though on 4 benchmarks against 5.
Pick DeepSeek V4 Pro 0813 for work measured by SimpleQA Verified, where it leads.
- Shared results
- 24
- DeepSeek V4.1 Flash 1017 only
- 15
- DeepSeek V4 Pro 0813 only
- 54
- 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 V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 scores 70.3 against 56.1.
4 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 leads, 39.5 against 36.0.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Pro 0813 has a AA Agentic Index result, 41.3.
Directional only
Reasoning
GPQA Diamond
No call
Only DeepSeek V4 Pro 0813 has a GPQA Diamond result, 92.4%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V4 Pro 0813 has a MMLU Pro result, 87.0%.
Directional only
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 53.0%.
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 1017
DeepSeek V4.1 Flash 1017 $0.0004, DeepSeek V4 Pro 0813 $0.0016 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only DeepSeek V4 Pro 0813 has the number, $0.10.
Directional only
At a glance
- Coding index
- DeepSeek V4.1 Flash 1017 70.3 from 4 benchmarks, DeepSeek V4 Pro 0813 56.1 from 5 benchmarks.
- Widest category
- Knowledge, 10.4 points apart on average over 1 shared benchmark.
- Widest single gap
- Terminal-Bench 4 (Vals AI): DeepSeek V4.1 Flash 1017 31.8% against DeepSeek V4 Pro 0813 14.1%, 23.6 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4.1 Flash 1017 $0.60 against DeepSeek V4 Pro 0813 $1.98 per million output tokens, 3.3x 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 Pro 0813 | Ties |
|---|---|---|---|---|
| Coding | 8 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 5 | 0 | ||
| Reasoning | 3 | 0 | 1 tie | |
| Math | 3 | 0 | ||
| Knowledge | 0 | 1 | ||
| General | 2 | 0 | ||
| All shared boards | 22 | 1 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
| Benchmark | DeepSeek V4.1 Flash 1017 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| LiveBench coding | 96.0% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LMArena WebDev | 1664 | 1582 | DeepSeek V4.1 Flash 1017 |
| AA Coding Index | Not measured | 68.8 | Only DeepSeek V4 Pro 0813 measured |
| LiveCodeBench (Vals AI) | Not measured | 87.5% | Only DeepSeek V4 Pro 0813 measured |
| SWE-bench Verified (Vals AI) | Not measured | 96.4% | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench 4 (Vals AI) | 31.8% | 14.1% | DeepSeek V4.1 Flash 1017 |
| Vibe Code Bench (Vals AI) | 87.7% | 82.3% | DeepSeek V4.1 Flash 1017 |
| Code migration (Vals AI) | 44.2% | 41.5% | DeepSeek V4.1 Flash 1017 |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only DeepSeek V4 Pro 0813 measured |
| IOI (Vals AI) | Not measured | 51.6% | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 54.7% | Only DeepSeek V4 Pro 0813 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 17.5% | Only DeepSeek V4 Pro 0813 measured |
| SkillsBench (Vals AI) | Not measured | 53.8% | Only DeepSeek V4 Pro 0813 measured |
| CyberBench (Vals AI) | Not measured | 72.9% | Only DeepSeek V4 Pro 0813 measured |
| SciCode | 55.9% | 51.0% | DeepSeek V4.1 Flash 1017 |
| FrontierCode | Not measured | 28.5% | Only DeepSeek V4 Pro 0813 measured |
| WeirdML | Not measured | 66.2% | Only DeepSeek V4 Pro 0813 measured |
| ALE-Bench | 1622.0 | 1403.2 | DeepSeek V4.1 Flash 1017 |
| LMArena Text: coding | Not measured | 1469 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: software and IT | Not measured | 1462 | Only DeepSeek V4 Pro 0813 measured |
| LMArena WebDev: React | 1667 | 1588 | DeepSeek V4.1 Flash 1017 |
| LMArena WebDev: HTML | 1687 | 1566 | DeepSeek V4.1 Flash 1017 |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4.1 Flash 1017 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| AA Intelligence Index | 39.5 | 36.0 | DeepSeek V4.1 Flash 1017 |
| Epoch Capabilities Index | Not measured | 155.6 | Only DeepSeek V4 Pro 0813 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | DeepSeek V4.1 Flash 1017 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 41.3 | Only DeepSeek V4 Pro 0813 measured |
| Design Arena: spreadsheets | 1259 | 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 |
| SREBench (Vals AI) | Not measured | 1.9% | Only DeepSeek V4 Pro 0813 measured |
| Finance Agent (Vals AI) | 57.0% | 50.4% | DeepSeek V4.1 Flash 1017 |
| Tax Agent Bench (Vals AI) | 44.4% | 26.8% | DeepSeek V4.1 Flash 1017 |
| Legal Research Bench (Vals AI) | 45.2% | 40.9% | DeepSeek V4.1 Flash 1017 |
| Harvey's Legal Agent Benchmark (Vals AI) | 14.2% | 10.8% | DeepSeek V4.1 Flash 1017 |
| Excel Modeling Benchmark (Vals AI) | 61.8% | 52.8% | DeepSeek V4.1 Flash 1017 |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only DeepSeek V4 Pro 0813 measured |
| APEX-Agents | Not measured | 47.3% | Only DeepSeek V4 Pro 0813 measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | DeepSeek V4.1 Flash 1017 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 92.4% | Only DeepSeek V4 Pro 0813 measured |
| LiveBench reasoning | 89.1% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 92.8% | Only DeepSeek V4 Pro 0813 measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.3% | 41.0% | DeepSeek V4.1 Flash 1017 |
| GPQA Diamond (Epoch AI run) | 93.2% | 91.7% | DeepSeek V4.1 Flash 1017 |
| ARC-AGI | Not measured | 90.5% | Only DeepSeek V4 Pro 0813 measured |
| ARC-AGI-2 | Not measured | 61.3% | Only DeepSeek V4 Pro 0813 measured |
| Chess puzzles | 46.0% | 46.0% | Tie |
| Mystery game puzzles | 49.0% | 43.0% | DeepSeek V4.1 Flash 1017 |
| LMArena Text: hard prompts | Not measured | 1458 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: expert | Not measured | 1459 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: hard prompts in English | Not measured | 1463 | Only DeepSeek V4 Pro 0813 measured |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | DeepSeek V4.1 Flash 1017 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 99.4% | 98.6% | DeepSeek V4.1 Flash 1017 |
| FrontierMath, tiers 1 to 3 | 71.2% | 64.6% | DeepSeek V4.1 Flash 1017 |
| FrontierMath, tier 4 | 46.3% | 26.8% | DeepSeek V4.1 Flash 1017 |
| ProofBench | Not measured | 50.0% | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: math | Not measured | 1441 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: mathematical work | Not measured | 1443 | Only DeepSeek V4 Pro 0813 measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V4.1 Flash 1017 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 87.0% | Only DeepSeek V4 Pro 0813 measured |
| LegalBench (Vals AI) | Not measured | 82.4% | Only DeepSeek V4 Pro 0813 measured |
| CorpFin (Vals AI) | Not measured | 65.4% | Only DeepSeek V4 Pro 0813 measured |
| TaxEval (Vals AI) | Not measured | 73.1% | Only DeepSeek V4 Pro 0813 measured |
| MedCode (Vals AI) | Not measured | 42.5% | Only DeepSeek V4 Pro 0813 measured |
| SimpleQA Verified | 42.5% | 52.9% | DeepSeek V4 Pro 0813 |
| LMArena Text: science | Not measured | 1457 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: medicine and healthcare | Not measured | 1446 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: legal and government | Not measured | 1459 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: business and finance | Not measured | 1442 | Only DeepSeek V4 Pro 0813 measured |
| Neither model has a result on the other 10 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | DeepSeek V4.1 Flash 1017 | DeepSeek V4 Pro 0813 | 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% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V4.1 Flash 1017 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| Vals Index | 61.3% | 53.0% | DeepSeek V4.1 Flash 1017 |
| LiveBench data analysis | 79.5% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| MedScribe (Vals AI) | Not measured | 80.2% | Only DeepSeek V4 Pro 0813 measured |
| Long context reasoning (AA-LCR) | 82.7% | 80.3% | DeepSeek V4.1 Flash 1017 |
| DTBench | Not measured | 93.9% | Only DeepSeek V4 Pro 0813 measured |
| LMCA | Not measured | 45.5% | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text | Not measured | 1446 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: instruction following | Not measured | 1448 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: creative writing | Not measured | 1439 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: English | Not measured | 1457 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: non-English | Not measured | 1431 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: Chinese | Not measured | 1481 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: Korean | Not measured | 1449 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: French | Not measured | 1446 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: Spanish | Not measured | 1435 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: Russian | Not measured | 1448 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: multi-turn | Not measured | 1454 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: longer queries | Not measured | 1458 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: writing and language | Not measured | 1443 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: entertainment and media | Not measured | 1424 | Only DeepSeek V4 Pro 0813 measured |
| Neither model has a result on the other 28 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 Pro 0813 | 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 1017 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4.1 Flash 1017 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4.1 Flash 1017 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 Pro 0813 |
|---|---|---|
| Maker | DeepSeek | DeepSeek |
| Weights | Open weights | Open weights |
| Released | October 17, 2026 | August 12, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.15 | $0.66 |
| Output $/Mtok | $0.60 | $1.98 |
| Coding index | 70.3 | 56.1 |
| Independent measurements behind it | 4 | 5 |
| Cost per solved task | Not computable | $0.10 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4.1 Flash 1017 better than DeepSeek V4 Pro 0813 for coding?
Pick DeepSeek V4.1 Flash 1017 for coding: it scores 70.3 on the Vibe Coding Index against 56.1 for DeepSeek V4 Pro 0813, though on 4 benchmarks against 5. Pick DeepSeek V4 Pro 0813 for work measured by SimpleQA Verified, where it leads.
Which is cheaper, DeepSeek V4.1 Flash 1017 or DeepSeek V4 Pro 0813?
DeepSeek V4.1 Flash 1017 costs $0.15 per million input tokens and $0.60 per million output tokens; DeepSeek V4 Pro 0813 costs $0.66 and $1.98. Cost per solved task is known for DeepSeek V4 Pro 0813 only.
Which has the bigger context window, DeepSeek V4.1 Flash 1017 or DeepSeek V4 Pro 0813?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4.1 Flash 1017 vs DeepSeek V4 Pro 0813 comparison based on?
24 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 DeepSeek V4 Pro 0813's on 5. Where only one model has a result, the page says so instead of naming a winner.