DeepSeek V4.1 Flash vs DeepSeek V4 Flash 0731
DeepSeek V4.1 Flash leads DeepSeek V4 Flash 0731 on coding, 62.5 to 51.8 on the Vibe Coding Index, and DeepSeek V4 Flash 0731 costs 2.8x less per output token ($0.28 vs $0.78 per million). Updated October 21, 2026; 44 benchmarks have a result for both.
DeepSeek V4.1 Flash or DeepSeek V4 Flash 0731: which to pick
Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 51.8 for DeepSeek V4 Flash 0731.
Pick DeepSeek V4 Flash 0731 for output tokens 2.8x cheaper ($0.28 vs $0.78 per million) and work measured by ALE-Bench or AA Intelligence Index, where it leads.
- Shared results
- 44
- DeepSeek V4.1 Flash only
- 57
- DeepSeek V4 Flash 0731 only
- 11
- 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 51.8.
5 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 leads, 34.3 against 24.7.
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
DeepSeek V4.1 Flash leads, 1309 against 1238.
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 Flash 0731
DeepSeek V4.1 Flash $0.0006, 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 62.5 from 5 benchmarks, DeepSeek V4 Flash 0731 51.8 from 4 benchmarks.
- Widest category
- Web design, 13.3 points apart on average over 8 shared benchmarks.
- Widest single gap
- FrontierCode: DeepSeek V4.1 Flash 43.9% against DeepSeek V4 Flash 0731 18.8%, 38.6 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4.1 Flash $0.78 against DeepSeek V4 Flash 0731 $0.28 per million output tokens, 2.8x 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 | DeepSeek V4 Flash 0731 | Ties |
|---|---|---|---|---|
| Coding | 10 | 1 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 4 | 2 | ||
| Reasoning | 5 | 1 | ||
| Math | 3 | 1 | ||
| Knowledge | 2 | 1 | ||
| Web design | 8 | 0 | ||
| General | 3 | 1 | ||
| All shared boards | 36 | 8 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index101
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| LiveBench coding | 90.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev | 1618 | Not measured | Only DeepSeek V4.1 Flash 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) | 19.7% | 18.7% | DeepSeek V4.1 Flash |
| Vibe Code Bench (Vals AI) | 84.7% | 74.7% | DeepSeek V4.1 Flash |
| Code migration (Vals AI) | 45.6% | 38.6% | DeepSeek V4.1 Flash |
| ProgramBench (Vals AI) | 0.5% | 0.0% | DeepSeek V4.1 Flash |
| IOI (Vals AI) | 40.3% | 32.7% | DeepSeek V4.1 Flash |
| Terminal-Bench 2.1 (Vals AI) | 74.5% | 67.0% | DeepSeek V4.1 Flash |
| SWE-bench Multimodal (Vals AI) | 46.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| Vibe Code Bench 1-100 (Vals AI) | 16.4% | Not measured | Only DeepSeek V4.1 Flash measured |
| SkillsBench (Vals AI) | 69.8% | 50.7% | DeepSeek V4.1 Flash |
| CyberBench (Vals AI) | 73.7% | 72.1% | DeepSeek V4.1 Flash |
| SciCode | 51.9% | 50.3% | DeepSeek V4.1 Flash |
| FrontierCode | 43.9% | 18.8% | DeepSeek V4.1 Flash |
| WeirdML | Not measured | 63.0% | Only DeepSeek V4 Flash 0731 measured |
| ALE-Bench | 1092.3 | 1306.1 | DeepSeek V4 Flash 0731 |
| LMArena Text: coding | 1502 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: software and IT | 1496 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev: React | 1628 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev: HTML | 1612 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev: from an image | 1606 | Not measured | Only DeepSeek V4.1 Flash measured |
| 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 | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.7 | 34.3 | DeepSeek V4 Flash 0731 |
| Epoch Capabilities Index | 155.9 | 154.8 | DeepSeek V4.1 Flash |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 41.0 | Only DeepSeek V4 Flash 0731 measured |
| LiveBench research | 86.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| LiveBench browser | 84.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| LiveBench long agentic | 40.1% | Not measured | Only DeepSeek V4.1 Flash measured |
| SREBench (Vals AI) | 0.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| Finance Agent (Vals AI) | 53.5% | 49.5% | DeepSeek V4.1 Flash |
| Tax Agent Bench (Vals AI) | 26.6% | 28.1% | DeepSeek V4 Flash 0731 |
| Legal Research Bench (Vals AI) | 41.4% | 30.3% | DeepSeek V4.1 Flash |
| Excel Modeling Benchmark (Vals AI) | 57.2% | 57.0% | DeepSeek V4.1 Flash |
| BioMysteryBench (Vals AI) | 67.8% | 64.4% | DeepSeek V4.1 Flash |
| Terminal-Bench-Science (Vals AI) | 0.0% | 4.3% | DeepSeek V4 Flash 0731 |
| Vals Science Index | 29.6% | Not measured | Only DeepSeek V4.1 Flash measured |
| APEX-Agents | 39.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 89.9% | Only DeepSeek V4 Flash 0731 measured |
| LiveBench reasoning | 86.7% | Not measured | Only DeepSeek V4.1 Flash measured |
| MysteryMechanism (Vals AI) | 21.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 90.8% | Only DeepSeek V4 Flash 0731 measured |
| Humanity's Last Exam (Artificial Analysis run) | 39.2% | 38.6% | DeepSeek V4.1 Flash |
| GPQA Diamond (Epoch AI run) | 89.8% | 91.0% | DeepSeek V4 Flash 0731 |
| ARC-AGI | 94.5% | 89.0% | DeepSeek V4.1 Flash |
| ARC-AGI-2 | 72.9% | 61.4% | DeepSeek V4.1 Flash |
| SimpleBench | Not measured | 61.1% | Only DeepSeek V4 Flash 0731 measured |
| Chess puzzles | 48.0% | 32.0% | DeepSeek V4.1 Flash |
| Mystery game puzzles | 43.0% | 34.0% | DeepSeek V4.1 Flash |
| LMArena Text: hard prompts | 1483 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: expert | 1501 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: hard prompts in English | 1488 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: diagrams | 1297 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: homework | 1307 | Not measured | Only DeepSeek V4.1 Flash 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 V4.1 Flash | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.3% | 94.4% | DeepSeek V4.1 Flash |
| FrontierMath, tiers 1 to 3 | 67.4% | 57.5% | DeepSeek V4.1 Flash |
| FrontierMath, tier 4 | 26.8% | 24.4% | DeepSeek V4.1 Flash |
| ProofBench | 54.0% | 56.0% | DeepSeek V4 Flash 0731 |
| LMArena Text: math | 1478 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: mathematical work | 1485 | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 86.2% | Only DeepSeek V4 Flash 0731 measured |
| LegalBench (Vals AI) | 83.3% | 77.7% | DeepSeek V4.1 Flash |
| 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) | 41.2% | 41.4% | DeepSeek V4 Flash 0731 |
| SimpleQA Verified | 42.9% | 33.6% | DeepSeek V4.1 Flash |
| LMArena Text: science | 1469 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: medicine and healthcare | 1484 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: legal and government | 1443 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: business and finance | 1461 | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 8 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| Design Arena: websites | 1309 | 1238 | DeepSeek V4.1 Flash |
| Design Arena: UI components | 1315 | 1235 | DeepSeek V4.1 Flash |
| Design Arena: game dev | 1330 | 1208 | DeepSeek V4.1 Flash |
| Design Arena: data viz | 1290 | 1180 | DeepSeek V4.1 Flash |
| Design Arena: 3D | 1356 | 1209 | DeepSeek V4.1 Flash |
| Design Arena: all code categories | 1320 | 1230 | DeepSeek V4.1 Flash |
| Design Arena: SVG | 1244 | 1185 | DeepSeek V4.1 Flash |
| Design Arena: ASCII art | 1265 | 1090 | DeepSeek V4.1 Flash |
| LiveBench design | 79.2% | Not measured | Only DeepSeek V4.1 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| Public Benefits Bench (Vals AI) | 64.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| SAGE (Vals AI) | 47.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| MedScribe (Vals AI) | 85.5% | 80.4% | DeepSeek V4.1 Flash |
| Long context reasoning (AA-LCR) | 84.0% | 79.7% | DeepSeek V4.1 Flash |
| DTBench | 89.9% | 90.9% | DeepSeek V4 Flash 0731 |
| LMCA | 47.0% | 41.7% | DeepSeek V4.1 Flash |
| Surface Evolver Bench | 46.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| Furniture assembly | 34.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text | 1464 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: instruction following | 1473 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: creative writing | 1437 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision | 1278 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: English | 1473 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: non-English | 1449 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Chinese | 1501 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: German | 1470 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Japanese | 1432 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Korean | 1436 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: French | 1465 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Spanish | 1459 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Russian | 1467 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Polish | 1457 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: multi-turn | 1461 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: longer queries | 1473 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: writing and language | 1450 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: entertainment and media | 1445 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: English | 1288 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: Chinese | 1327 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: reading text | 1282 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: humor | 1260 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: creative writing | 1275 | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4.1 Flash | 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 | DeepSeek V4 Flash 0731 |
|---|---|---|
| Maker | DeepSeek | DeepSeek |
| Weights | Open weights | Open weights |
| Released | September 10, 2026 | July 31, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.21 | $0.14 |
| Output $/Mtok | $0.78 | $0.28 |
| Coding index | 62.5 | 51.8 |
| Independent measurements behind it | 5 | 4 |
| Cost per solved task | Not computable | $0.01 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4.1 Flash better than DeepSeek V4 Flash 0731 for coding?
Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 51.8 for DeepSeek V4 Flash 0731. Pick DeepSeek V4 Flash 0731 for output tokens 2.8x cheaper ($0.28 vs $0.78 per million) and work measured by ALE-Bench or AA Intelligence Index, where it leads.
Which is cheaper, DeepSeek V4.1 Flash or DeepSeek V4 Flash 0731?
DeepSeek V4.1 Flash costs $0.21 per million input tokens and $0.78 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 or DeepSeek V4 Flash 0731?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4.1 Flash vs DeepSeek V4 Flash 0731 comparison based on?
44 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4.1 Flash's coding index rests on 5 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.