DeepSeek V4 Flash 0423 vs DeepSeek V4 Flash 0731
Updated October 21, 2026. 17 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Only DeepSeek V4 Flash 0731 has a coding score, 51.8 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding.
DeepSeek V4 Flash 0423 has the edge where output tokens cost 1.4x less, and where the benchmark that matters is Design Arena: ASCII art, where it leads.
- Shared results
- 17
- DeepSeek V4 Flash 0423 only
- 31
- DeepSeek V4 Flash 0731 only
- 38
- Like-for-like categories
- 6 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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 Flash 0731 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 leads, 34.3 against 24.4.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 leads, 41.0 against 26.3.
Same board, both measured
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 Flash 0731
DeepSeek V4 Flash 0731 leads, 1238 against 1208.
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 Flash 0423 $0.0003, 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 Flash 0423 not benchmarked, DeepSeek V4 Flash 0731 51.8 from 4 benchmarks.
- Widest category
- Coding, 18.5 points apart on average over 3 shared benchmarks.
- Widest single gap
- ALE-Bench: DeepSeek V4 Flash 0423 678.2 against DeepSeek V4 Flash 0731 1306.1, 20.9 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Flash 0423 $0.28 against DeepSeek V4 Flash 0731 $0.396 per million output tokens, 1.4x 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 Flash 0423 | Bars | DeepSeek V4 Flash 0731 | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 1 | ||
| Web design | 1 | 7 | ||
| General | 0 | 2 | ||
| All shared boards | 1 | 16 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
| Benchmark | DeepSeek V4 Flash 0423 | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| LMArena WebDev | 1582 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| AA Coding Index | 52.0 | 69.1 | DeepSeek V4 Flash 0731 |
| 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) | Not measured | 18.7% | Only DeepSeek V4 Flash 0731 measured |
| Vibe Code Bench (Vals AI) | Not measured | 74.7% | Only DeepSeek V4 Flash 0731 measured |
| Code migration (Vals AI) | Not measured | 38.6% | Only DeepSeek V4 Flash 0731 measured |
| 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 | Not measured | 50.3% | Only DeepSeek V4 Flash 0731 measured |
| FrontierCode | Not measured | 18.8% | Only DeepSeek V4 Flash 0731 measured |
| WeirdML | 45.6% | 63.0% | DeepSeek V4 Flash 0731 |
| ALE-Bench | 678.2 | 1306.1 | DeepSeek V4 Flash 0731 |
| LMArena Text: coding | 1457 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: software and IT | 1453 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena WebDev: React | 1585 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena WebDev: HTML | 1558 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V4 Flash 0423 | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.4 | 34.3 | DeepSeek V4 Flash 0731 |
| Epoch Capabilities Index | 146.1 | 154.8 | DeepSeek V4 Flash 0731 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V4 Flash 0423 | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| AA Agentic Index | 26.3 | 41.0 | DeepSeek V4 Flash 0731 |
| Finance Agent (Vals AI) | Not measured | 49.5% | Only DeepSeek V4 Flash 0731 measured |
| Tax Agent Bench (Vals AI) | Not measured | 28.1% | Only DeepSeek V4 Flash 0731 measured |
| Legal Research Bench (Vals AI) | Not measured | 30.3% | Only DeepSeek V4 Flash 0731 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 57.0% | Only DeepSeek V4 Flash 0731 measured |
| 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 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V4 Flash 0423 | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 89.9% | Only DeepSeek V4 Flash 0731 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 90.8% | Only DeepSeek V4 Flash 0731 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 38.6% | Only DeepSeek V4 Flash 0731 measured |
| GPQA Diamond (Epoch AI run) | Not measured | 91.0% | Only DeepSeek V4 Flash 0731 measured |
| 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 | 46.3% | 61.1% | DeepSeek V4 Flash 0731 |
| Chess puzzles | Not measured | 32.0% | Only DeepSeek V4 Flash 0731 measured |
| Mystery game puzzles | Not measured | 34.0% | Only DeepSeek V4 Flash 0731 measured |
| LMArena Text: hard prompts | 1444 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: expert | 1441 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: hard prompts in English | 1449 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Neither model has a result on the other 9 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | DeepSeek V4 Flash 0423 | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 94.4% | Only DeepSeek V4 Flash 0731 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 57.5% | Only DeepSeek V4 Flash 0731 measured |
| FrontierMath, tier 4 | Not measured | 24.4% | Only DeepSeek V4 Flash 0731 measured |
| ProofBench | Not measured | 56.0% | Only DeepSeek V4 Flash 0731 measured |
| LMArena Text: math | 1426 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: mathematical work | 1432 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
| Benchmark | DeepSeek V4 Flash 0423 | 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 | Not measured | 33.6% | Only DeepSeek V4 Flash 0731 measured |
| LMArena Text: science | 1446 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: medicine and healthcare | 1448 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: legal and government | 1439 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: business and finance | 1425 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | DeepSeek V4 Flash 0423 | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| Design Arena: websites | 1208 | 1238 | DeepSeek V4 Flash 0731 |
| Design Arena: UI components | 1165 | 1235 | DeepSeek V4 Flash 0731 |
| Design Arena: game dev | 1197 | 1208 | DeepSeek V4 Flash 0731 |
| Design Arena: data viz | 1127 | 1180 | DeepSeek V4 Flash 0731 |
| Design Arena: 3D | 1189 | 1209 | DeepSeek V4 Flash 0731 |
| Design Arena: all code categories | 1205 | 1230 | DeepSeek V4 Flash 0731 |
| Design Arena: SVG | 1155 | 1185 | DeepSeek V4 Flash 0731 |
| Design Arena: ASCII art | 1109 | 1090 | DeepSeek V4 Flash 0423 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V4 Flash 0423 | DeepSeek V4 Flash 0731 | Leader |
|---|---|---|---|
| MedScribe (Vals AI) | Not measured | 80.4% | Only DeepSeek V4 Flash 0731 measured |
| Long context reasoning (AA-LCR) | Not measured | 79.7% | Only DeepSeek V4 Flash 0731 measured |
| DTBench | 86.4% | 90.9% | DeepSeek V4 Flash 0731 |
| LMCA | 35.9% | 41.7% | DeepSeek V4 Flash 0731 |
| LMArena Text | 1432 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: instruction following | 1421 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: creative writing | 1403 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: English | 1441 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: non-English | 1419 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: Chinese | 1463 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: German | 1419 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: Japanese | 1389 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: Korean | 1383 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: French | 1439 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: Spanish | 1436 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: Russian | 1427 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: Polish | 1436 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: multi-turn | 1449 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: longer queries | 1434 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: writing and language | 1410 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: entertainment and media | 1400 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Neither model has a result on the other 25 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Flash 0423 | 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 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 Flash 0423 | DeepSeek V4 Flash 0731 |
|---|---|---|
| Maker | DeepSeek | DeepSeek |
| Weights | Open weights | Open weights |
| Released | April 24, 2026 | July 31, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.14 | $0.14 |
| Output $/Mtok | $0.28 | $0.396 |
| Coding index | Not benchmarked | 51.8 |
| Independent measurements behind it | 1 | 4 |
| Cost per solved task | Not computable | $0.01 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Flash 0423 better than DeepSeek V4 Flash 0731 for coding?
Only DeepSeek V4 Flash 0731 has a coding score, 51.8 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding. DeepSeek V4 Flash 0423 has the edge where output tokens cost 1.4x less, and where the benchmark that matters is Design Arena: ASCII art, where it leads.
Which is cheaper, DeepSeek V4 Flash 0423 or DeepSeek V4 Flash 0731?
DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 per million output tokens; DeepSeek V4 Flash 0731 costs $0.14 and $0.396. Cost per solved task is known for DeepSeek V4 Flash 0731 only.
Which has the bigger context window, DeepSeek V4 Flash 0423 or DeepSeek V4 Flash 0731?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4 Flash 0423 vs DeepSeek V4 Flash 0731 comparison based on?
17 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Flash 0423's coding index rests on 1 independent benchmark and DeepSeek V4 Flash 0731's on 4. Where only one model has a result, the page says so instead of naming a winner.