DeepSeek V3 0324 vs DeepSeek V4 Flash 0423
DeepSeek V4 Flash 0423 leads DeepSeek V3 0324 on the Artificial Analysis Intelligence Index, 24.4 to 9.7, and DeepSeek V4 Flash 0423 costs 3.8x less per output token ($0.28 vs $1.07 per million). Updated October 21, 2026; 7 benchmarks have a result for both.
DeepSeek V3 0324 or DeepSeek V4 Flash 0423: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick DeepSeek V3 0324 for work measured by AA Coding Index or WeirdML, where it leads.
- Shared results
- 7
- DeepSeek V3 0324 only
- 28
- DeepSeek V4 Flash 0423 only
- 42
- Like-for-like categories
- 5 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
DeepSeek V4 Flash 0423
DeepSeek V4 Flash 0423 leads, 24.4 against 9.7.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Flash 0423
DeepSeek V4 Flash 0423 leads, 26.3 against 0.8.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only DeepSeek V3 0324 has a GPQA Diamond result, 61.6%.
Directional only
Math
AIME
No call
Only DeepSeek V3 0324 has a AIME result, 52.2%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V3 0324 has a MMLU Pro result, 79.5%.
Directional only
Web design
Design Arena: websites
No call
Only DeepSeek V4 Flash 0423 has a Design Arena: websites result, 1208.
Directional only
Long documents
Listed context window
DeepSeek V4 Flash 0423
DeepSeek V4 Flash 0423 takes 1.05M tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Flash 0423
DeepSeek V3 0324 $0.0008, DeepSeek V4 Flash 0423 $0.0003 per turn.
List prices
At a glance
- Coding index
- DeepSeek V3 0324 not benchmarked, DeepSeek V4 Flash 0423 not benchmarked.
- Widest category
- Agentic work, 25.5 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Coding Index: DeepSeek V3 0324 21.2 against DeepSeek V4 Flash 0423 52.0, 30.8 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3 0324 $1.07 against DeepSeek V4 Flash 0423 $0.28 per million output tokens, 3.8x apart.
- Context window
- DeepSeek V3 0324 takes 164K tokens, DeepSeek V4 Flash 0423 1.05M.
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 V3 0324 | Bars | DeepSeek V4 Flash 0423 | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 1 | ||
| General | 0 | 2 | ||
| All shared boards | 0 | 7 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
| Benchmark | DeepSeek V3 0324 | DeepSeek V4 Flash 0423 | Leader |
|---|---|---|---|
| SWE-bench Verified | 42.0% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena WebDev | Not measured | 1582 | Only DeepSeek V4 Flash 0423 measured |
| AA Coding Index | 21.2 | 52.0 | DeepSeek V4 Flash 0423 |
| LiveCodeBench (Vals AI) | 65.5% | Not measured | Only DeepSeek V3 0324 measured |
| LiveCodeBench (Artificial Analysis run) | 40.5% | Not measured | Only DeepSeek V3 0324 measured |
| SciCode | 39.0% | Not measured | Only DeepSeek V3 0324 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 15.2% | Not measured | Only DeepSeek V3 0324 measured |
| WeirdML | 36.1% | 45.6% | DeepSeek V4 Flash 0423 |
| ALE-Bench | Not measured | 678.2 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: coding | Not measured | 1457 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: software and IT | Not measured | 1453 | Only DeepSeek V4 Flash 0423 measured |
| LMArena WebDev: React | Not measured | 1585 | Only DeepSeek V4 Flash 0423 measured |
| LMArena WebDev: HTML | Not measured | 1558 | Only DeepSeek V4 Flash 0423 measured |
| Neither model has a result on the other 26 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 0324 | DeepSeek V4 Flash 0423 | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.7 | 24.4 | DeepSeek V4 Flash 0423 |
| Epoch Capabilities Index | Not measured | 146.1 | Only DeepSeek V4 Flash 0423 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 0324 | DeepSeek V4 Flash 0423 | Leader |
|---|---|---|---|
| AA Agentic Index | 0.8 | 26.3 | DeepSeek V4 Flash 0423 |
| τ²-Bench Telecom | 47.1% | Not measured | Only DeepSeek V3 0324 measured |
| METR time horizons | 49.6% | Not measured | Only DeepSeek V3 0324 measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 0324 | DeepSeek V4 Flash 0423 | Leader |
|---|---|---|---|
| GPQA Diamond | 61.6% | Not measured | Only DeepSeek V3 0324 measured |
| GPQA Diamond (Artificial Analysis run) | 65.5% | Not measured | Only DeepSeek V3 0324 measured |
| Humanity's Last Exam (Artificial Analysis run) | 4.7% | Not measured | Only DeepSeek V3 0324 measured |
| GPQA Diamond (Epoch AI run) | 67.6% | Not measured | Only DeepSeek V3 0324 measured |
| SimpleBench | 27.2% | 46.3% | DeepSeek V4 Flash 0423 |
| LMArena Text: hard prompts | Not measured | 1444 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: expert | Not measured | 1441 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: hard prompts in English | Not measured | 1449 | Only DeepSeek V4 Flash 0423 measured |
| Kagi LLM Benchmark | Not measured | 52.2% | Only DeepSeek V4 Flash 0423 measured |
| Neither model has a result on the other 13 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | DeepSeek V3 0324 | DeepSeek V4 Flash 0423 | Leader |
|---|---|---|---|
| AIME | 52.2% | Not measured | Only DeepSeek V3 0324 measured |
| MATH 500 (Vals AI) | 88.6% | Not measured | Only DeepSeek V3 0324 measured |
| MGSM (Vals AI) | 91.7% | Not measured | Only DeepSeek V3 0324 measured |
| AA Math Index | 41.0 | Not measured | Only DeepSeek V3 0324 measured |
| AIME 2025 (Artificial Analysis run) | 41.0% | Not measured | Only DeepSeek V3 0324 measured |
| OTIS Mock AIME | 37.8% | Not measured | Only DeepSeek V3 0324 measured |
| MATH level 5 | 75.5% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena Text: math | Not measured | 1426 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: mathematical work | Not measured | 1432 | Only DeepSeek V4 Flash 0423 measured |
| Neither model has a result on the other 4 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
| Benchmark | DeepSeek V3 0324 | DeepSeek V4 Flash 0423 | Leader |
|---|---|---|---|
| MMLU Pro | 79.5% | Not measured | Only DeepSeek V3 0324 measured |
| LegalBench (Vals AI) | 77.7% | Not measured | Only DeepSeek V3 0324 measured |
| CorpFin (Vals AI) | 54.7% | Not measured | Only DeepSeek V3 0324 measured |
| TaxEval (Vals AI) | 71.1% | Not measured | Only DeepSeek V3 0324 measured |
| MedQA (Vals AI) | 82.0% | Not measured | Only DeepSeek V3 0324 measured |
| MMLU Pro (Artificial Analysis run) | 81.9% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena Text: science | Not measured | 1446 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: medicine and healthcare | Not measured | 1448 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: legal and government | Not measured | 1439 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: business and finance | Not measured | 1425 | Only DeepSeek V4 Flash 0423 measured |
| Neither model has a result on the other 8 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | DeepSeek V3 0324 | DeepSeek V4 Flash 0423 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1208 | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: UI components | Not measured | 1165 | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: game dev | Not measured | 1197 | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: data viz | Not measured | 1127 | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: 3D | Not measured | 1189 | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: all code categories | Not measured | 1205 | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: SVG | Not measured | 1155 | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: ASCII art | Not measured | 1109 | Only DeepSeek V4 Flash 0423 measured |
| 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 V3 0324 | DeepSeek V4 Flash 0423 | Leader |
|---|---|---|---|
| IFBench | 41.0% | Not measured | Only DeepSeek V3 0324 measured |
| Long context reasoning (AA-LCR) | 40.7% | Not measured | Only DeepSeek V3 0324 measured |
| DTBench | 64.8% | 86.4% | DeepSeek V4 Flash 0423 |
| LMCA | 15.5% | 35.9% | DeepSeek V4 Flash 0423 |
| Fiction.LiveBench | 50.0% | Not measured | Only DeepSeek V3 0324 measured |
| Creative writing (Lech Mazur) | 77.0% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena Text | Not measured | 1432 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: instruction following | Not measured | 1421 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: creative writing | Not measured | 1403 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: English | Not measured | 1441 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: non-English | Not measured | 1419 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: Chinese | Not measured | 1463 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: German | Not measured | 1419 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: Japanese | Not measured | 1389 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: Korean | Not measured | 1383 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: French | Not measured | 1439 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: Spanish | Not measured | 1436 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: Russian | Not measured | 1427 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: Polish | Not measured | 1436 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: multi-turn | Not measured | 1449 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: longer queries | Not measured | 1434 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: writing and language | Not measured | 1410 | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: entertainment and media | Not measured | 1400 | Only DeepSeek V4 Flash 0423 measured |
| Neither model has a result on the other 23 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3 0324 | 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 V3 0324 | DeepSeek V4 Flash 0423 |
|---|---|---|
| Maker | DeepSeek | DeepSeek |
| Weights | Open weights | Open weights |
| Released | March 24, 2025 | April 24, 2026 |
| Context window | 164K | 1.05M |
| Input $/Mtok | $0.27 | $0.13 |
| Output $/Mtok | $1.07 | $0.28 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3 0324 better than DeepSeek V4 Flash 0423 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3 0324 for work measured by AA Coding Index or WeirdML, where it leads.
Which is cheaper, DeepSeek V3 0324 or DeepSeek V4 Flash 0423?
DeepSeek V3 0324 costs $0.27 per million input tokens and $1.07 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 V3 0324 or DeepSeek V4 Flash 0423?
DeepSeek V4 Flash 0423, with 1.05M tokens against 164K.
How many benchmarks is the DeepSeek V3 0324 vs DeepSeek V4 Flash 0423 comparison based on?
7 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3 0324's coding index rests on 0 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.