DeepSeek V4.1 Flash vs DeepSeek V4 Flash 0423
DeepSeek V4.1 Flash leads DeepSeek V4 Flash 0423 on the Artificial Analysis Intelligence Index, 24.7 to 24.4, and DeepSeek V4 Flash 0423 costs 3.0x less per output token ($0.28 vs $0.84 per million). Updated October 22, 2026; 45 benchmarks have a result for both.
DeepSeek V4.1 Flash or DeepSeek V4 Flash 0423: which to pick
Only DeepSeek V4.1 Flash has a coding score, 62.5 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding.
Pick DeepSeek V4 Flash 0423 for output tokens 3.0x cheaper ($0.28 vs $0.84 per million).
- Shared results
- 45
- DeepSeek V4.1 Flash only
- 57
- DeepSeek V4 Flash 0423 only
- 5
- 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
No call
Only DeepSeek V4.1 Flash has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash leads, 24.7 against 24.4.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Flash 0423 has a AA Agentic Index result, 26.3.
Directional only
Web design
Design Arena: websites
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash leads, 1308 against 1207.
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 0423
DeepSeek V4.1 Flash $0.0006, DeepSeek V4 Flash 0423 $0.0003 per turn.
List prices
At a glance
- Coding index
- DeepSeek V4.1 Flash 62.5 from 5 benchmarks, DeepSeek V4 Flash 0423 not benchmarked.
- Widest category
- Web design, 16.8 points apart on average over 8 shared benchmarks.
- Widest single gap
- Design Arena: 3D: DeepSeek V4.1 Flash 1355 against DeepSeek V4 Flash 0423 1188, 20.9 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4.1 Flash $0.84 against DeepSeek V4 Flash 0423 $0.28 per million output tokens, 3.0x 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 0423 | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Intelligence | 2 | 0 | ||
| Reasoning | 3 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 8 | 0 | ||
| General | 19 | 0 | ||
| All shared boards | 45 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash 0423 | Leader |
|---|---|---|---|
| LiveBench coding | 90.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev | 1618 | 1582 | DeepSeek V4.1 Flash |
| AA Coding Index | Not measured | 52.0 | Only DeepSeek V4 Flash 0423 measured |
| Terminal-Bench 4 (Vals AI) | 19.7% | Not measured | Only DeepSeek V4.1 Flash measured |
| Vibe Code Bench (Vals AI) | 84.7% | Not measured | Only DeepSeek V4.1 Flash measured |
| Code migration (Vals AI) | 45.6% | Not measured | Only DeepSeek V4.1 Flash measured |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| IOI (Vals AI) | 40.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 74.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| 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% | Not measured | Only DeepSeek V4.1 Flash measured |
| CyberBench (Vals AI) | 73.7% | Not measured | Only DeepSeek V4.1 Flash measured |
| SciCode | 51.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| FrontierCode | 43.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| WeirdML | Not measured | 45.6% | Only DeepSeek V4 Flash 0423 measured |
| ALE-Bench | 1092.3 | 678.2 | DeepSeek V4.1 Flash |
| LMArena Text: coding | 1502 | 1457 | DeepSeek V4.1 Flash |
| LMArena Text: software and IT | 1496 | 1453 | DeepSeek V4.1 Flash |
| LMArena WebDev: React | 1628 | 1585 | DeepSeek V4.1 Flash |
| LMArena WebDev: HTML | 1612 | 1558 | DeepSeek V4.1 Flash |
| LMArena WebDev: from an image | 1606 | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash 0423 | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.7 | 24.4 | DeepSeek V4.1 Flash |
| Epoch Capabilities Index | 155.9 | 146.1 | DeepSeek V4.1 Flash |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash 0423 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 26.3 | Only DeepSeek V4 Flash 0423 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% | Not measured | Only DeepSeek V4.1 Flash measured |
| Tax Agent Bench (Vals AI) | 26.6% | Not measured | Only DeepSeek V4.1 Flash measured |
| Legal Research Bench (Vals AI) | 41.4% | Not measured | Only DeepSeek V4.1 Flash measured |
| Excel Modeling Benchmark (Vals AI) | 57.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| BioMysteryBench (Vals AI) | 67.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench-Science (Vals AI) | 0.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| 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 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash 0423 | Leader |
|---|---|---|---|
| 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 |
| Humanity's Last Exam (Artificial Analysis run) | 39.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| GPQA Diamond (Epoch AI run) | 89.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| ARC-AGI | 94.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| ARC-AGI-2 | 72.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| SimpleBench | Not measured | 46.3% | Only DeepSeek V4 Flash 0423 measured |
| Chess puzzles | 48.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| Mystery game puzzles | 43.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: hard prompts | 1483 | 1444 | DeepSeek V4.1 Flash |
| LMArena Text: expert | 1501 | 1441 | DeepSeek V4.1 Flash |
| LMArena Text: hard prompts in English | 1488 | 1449 | DeepSeek V4.1 Flash |
| LMArena Vision: diagrams | 1297 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: homework | 1307 | Not measured | Only DeepSeek V4.1 Flash measured |
| Kagi LLM Benchmark | Not measured | 52.2% | Only DeepSeek V4 Flash 0423 measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash 0423 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| FrontierMath, tiers 1 to 3 | 67.4% | Not measured | Only DeepSeek V4.1 Flash measured |
| FrontierMath, tier 4 | 26.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| ProofBench | 54.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: math | 1478 | 1426 | DeepSeek V4.1 Flash |
| LMArena Text: mathematical work | 1485 | 1432 | DeepSeek V4.1 Flash |
| MathArena | 42.3% | 24.8% | DeepSeek V4.1 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash 0423 | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 83.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| MedCode (Vals AI) | 41.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| SimpleQA Verified | 42.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: science | 1469 | 1446 | DeepSeek V4.1 Flash |
| LMArena Text: medicine and healthcare | 1484 | 1448 | DeepSeek V4.1 Flash |
| LMArena Text: legal and government | 1443 | 1439 | DeepSeek V4.1 Flash |
| LMArena Text: business and finance | 1461 | 1425 | DeepSeek V4.1 Flash |
| Neither model has a result on the other 13 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash 0423 | Leader |
|---|---|---|---|
| Design Arena: websites | 1308 | 1207 | DeepSeek V4.1 Flash |
| Design Arena: UI components | 1312 | 1162 | DeepSeek V4.1 Flash |
| Design Arena: game dev | 1330 | 1196 | DeepSeek V4.1 Flash |
| Design Arena: data viz | 1291 | 1127 | DeepSeek V4.1 Flash |
| Design Arena: 3D | 1355 | 1188 | DeepSeek V4.1 Flash |
| Design Arena: all code categories | 1319 | 1205 | DeepSeek V4.1 Flash |
| Design Arena: SVG | 1244 | 1154 | DeepSeek V4.1 Flash |
| Design Arena: ASCII art | 1265 | 1109 | 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 index190
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash 0423 | 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% | Not measured | Only DeepSeek V4.1 Flash measured |
| Long context reasoning (AA-LCR) | 84.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| DTBench | 89.9% | 86.4% | DeepSeek V4.1 Flash |
| LMCA | 47.0% | 35.9% | 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 | 1432 | DeepSeek V4.1 Flash |
| LMArena Text: instruction following | 1473 | 1421 | DeepSeek V4.1 Flash |
| LMArena Text: creative writing | 1437 | 1403 | DeepSeek V4.1 Flash |
| LMArena Vision | 1278 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: English | 1473 | 1441 | DeepSeek V4.1 Flash |
| LMArena Text: non-English | 1449 | 1419 | DeepSeek V4.1 Flash |
| LMArena Text: Chinese | 1501 | 1463 | DeepSeek V4.1 Flash |
| LMArena Text: German | 1470 | 1419 | DeepSeek V4.1 Flash |
| LMArena Text: Japanese | 1432 | 1389 | DeepSeek V4.1 Flash |
| LMArena Text: Korean | 1436 | 1383 | DeepSeek V4.1 Flash |
| LMArena Text: French | 1465 | 1439 | DeepSeek V4.1 Flash |
| LMArena Text: Spanish | 1459 | 1436 | DeepSeek V4.1 Flash |
| LMArena Text: Russian | 1467 | 1427 | DeepSeek V4.1 Flash |
| LMArena Text: Polish | 1457 | 1436 | DeepSeek V4.1 Flash |
| LMArena Text: multi-turn | 1461 | 1449 | DeepSeek V4.1 Flash |
| LMArena Text: longer queries | 1473 | 1434 | DeepSeek V4.1 Flash |
| LMArena Text: writing and language | 1450 | 1410 | DeepSeek V4.1 Flash |
| LMArena Text: entertainment and media | 1445 | 1400 | DeepSeek V4.1 Flash |
| 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 16 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 0423 | 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 0423 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Flash 0423 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Flash 0423 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 0423 |
|---|---|---|
| Maker | DeepSeek | DeepSeek |
| Weights | Open weights | Open weights |
| Released | September 10, 2026 | April 24, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.21 | $0.13 |
| Output $/Mtok | $0.84 | $0.28 |
| Coding index | 62.5 | Not benchmarked |
| Independent measurements behind it | 5 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4.1 Flash better than DeepSeek V4 Flash 0423 for coding?
Only DeepSeek V4.1 Flash has a coding score, 62.5 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding. Pick DeepSeek V4 Flash 0423 for output tokens 3.0x cheaper ($0.28 vs $0.84 per million).
Which is cheaper, DeepSeek V4.1 Flash or DeepSeek V4 Flash 0423?
DeepSeek V4.1 Flash costs $0.21 per million input tokens and $0.84 per million output tokens; DeepSeek V4 Flash 0423 costs $0.13 and $0.28. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V4.1 Flash or DeepSeek V4 Flash 0423?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4.1 Flash vs DeepSeek V4 Flash 0423 comparison based on?
45 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4.1 Flash's coding index rests on 5 independent benchmarks and DeepSeek V4 Flash 0423's on 1. Where only one model has a result, the page says so instead of naming a winner.