DeepSeek V3 0324 vs DeepSeek V4.1 Flash
DeepSeek V4.1 Flash leads DeepSeek V3 0324 on the Artificial Analysis Intelligence Index, 24.7 to 9.7, and DeepSeek V4.1 Flash costs 1.3x less per output token ($0.84 vs $1.07 per million). Updated October 22, 2026; 9 benchmarks have a result for both.
vs boards won of 9 shared
DeepSeek V3 0324 or DeepSeek V4.1 Flash: which to pick
Only DeepSeek V4.1 Flash has a coding score, 62.5 on the Vibe Coding Index; DeepSeek V3 0324 has none, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
Model ADeepSeek V3 0324DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BDeepSeek V4.1 FlashDeepSeek62.5/1005 independent benchmarksNo cost per solved task
- Shared results
- 9
- DeepSeek V3 0324 only
- 26
- DeepSeek V4.1 Flash only
- 92
- Like-for-like categories
- 6 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 9.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V3 0324 has a AA Agentic Index result, 0.8.
Directional only
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 V4.1 Flash has a Design Arena: websites result, 1308.
Directional only
Long documents
Listed context window
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash takes 1.05M tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4.1 Flash
DeepSeek V3 0324 $0.0008, DeepSeek V4.1 Flash $0.0006 per turn.
List prices
At a glance
- Coding index
- DeepSeek V3 0324 not benchmarked, DeepSeek V4.1 Flash 62.5 from 5 benchmarks.
- Widest category
- Math, 60.6 points apart on average over 1 shared benchmark.
- Widest single gap
- OTIS Mock AIME: DeepSeek V3 0324 37.8% against DeepSeek V4.1 Flash 98.3%, 60.6 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3 0324 $1.07 against DeepSeek V4.1 Flash $0.84 per million output tokens, 1.3x apart.
- Context window
- DeepSeek V3 0324 takes 164K tokens, DeepSeek V4.1 Flash 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 V4.1 Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 1 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 2 | ||
| Math | 0 | 1 | ||
| Knowledge | 0 | 1 | ||
| General | 0 | 3 | ||
| All shared boards | 0 | 9 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
| Benchmark | DeepSeek V3 0324 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| SWE-bench Verified | 42.0% | Not measured | Only DeepSeek V3 0324 measured |
| LiveBench coding | Not measured | 90.2% | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev | Not measured | 1618 | Only DeepSeek V4.1 Flash measured |
| AA Coding Index | 21.2 | Not measured | Only DeepSeek V3 0324 measured |
| LiveCodeBench (Vals AI) | 65.5% | Not measured | Only DeepSeek V3 0324 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 19.7% | Only DeepSeek V4.1 Flash measured |
| Vibe Code Bench (Vals AI) | Not measured | 84.7% | Only DeepSeek V4.1 Flash measured |
| Code migration (Vals AI) | Not measured | 45.6% | Only DeepSeek V4.1 Flash measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only DeepSeek V4.1 Flash measured |
| IOI (Vals AI) | Not measured | 40.3% | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 74.5% | Only DeepSeek V4.1 Flash measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 46.5% | Only DeepSeek V4.1 Flash measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 16.4% | Only DeepSeek V4.1 Flash measured |
| SkillsBench (Vals AI) | Not measured | 69.8% | Only DeepSeek V4.1 Flash measured |
| CyberBench (Vals AI) | Not measured | 73.7% | Only DeepSeek V4.1 Flash measured |
| LiveCodeBench (Artificial Analysis run) | 40.5% | Not measured | Only DeepSeek V3 0324 measured |
| SciCode | 39.0% | 51.9% | DeepSeek V4.1 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | 15.2% | Not measured | Only DeepSeek V3 0324 measured |
| FrontierCode | Not measured | 43.9% | Only DeepSeek V4.1 Flash measured |
| WeirdML | 36.1% | Not measured | Only DeepSeek V3 0324 measured |
| ALE-Bench | Not measured | 1092.3 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: coding | Not measured | 1502 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: software and IT | Not measured | 1496 | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev: React | Not measured | 1628 | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev: HTML | Not measured | 1612 | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev: from an image | Not measured | 1606 | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 0324 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.7 | 24.7 | DeepSeek V4.1 Flash |
| Epoch Capabilities Index | Not measured | 155.9 | Only DeepSeek V4.1 Flash measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
| Benchmark | DeepSeek V3 0324 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| AA Agentic Index | 0.8 | Not measured | Only DeepSeek V3 0324 measured |
| LiveBench research | Not measured | 86.8% | Only DeepSeek V4.1 Flash measured |
| LiveBench browser | Not measured | 84.0% | Only DeepSeek V4.1 Flash measured |
| LiveBench long agentic | Not measured | 40.1% | Only DeepSeek V4.1 Flash measured |
| SREBench (Vals AI) | Not measured | 0.8% | Only DeepSeek V4.1 Flash measured |
| Finance Agent (Vals AI) | Not measured | 53.5% | Only DeepSeek V4.1 Flash measured |
| Tax Agent Bench (Vals AI) | Not measured | 26.6% | Only DeepSeek V4.1 Flash measured |
| Legal Research Bench (Vals AI) | Not measured | 41.4% | Only DeepSeek V4.1 Flash measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 57.2% | Only DeepSeek V4.1 Flash measured |
| BioMysteryBench (Vals AI) | Not measured | 67.8% | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 0.0% | Only DeepSeek V4.1 Flash measured |
| Vals Science Index | Not measured | 29.6% | Only DeepSeek V4.1 Flash measured |
| τ²-Bench Telecom | 47.1% | Not measured | Only DeepSeek V3 0324 measured |
| APEX-Agents | Not measured | 39.5% | Only DeepSeek V4.1 Flash measured |
| METR time horizons | 49.6% | Not measured | Only DeepSeek V3 0324 measured |
| Neither model has a result on the other 26 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V3 0324 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| GPQA Diamond | 61.6% | Not measured | Only DeepSeek V3 0324 measured |
| LiveBench reasoning | Not measured | 86.7% | Only DeepSeek V4.1 Flash measured |
| MysteryMechanism (Vals AI) | Not measured | 21.2% | Only DeepSeek V4.1 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 65.5% | Not measured | Only DeepSeek V3 0324 measured |
| Humanity's Last Exam (Artificial Analysis run) | 4.7% | 39.2% | DeepSeek V4.1 Flash |
| GPQA Diamond (Epoch AI run) | 67.6% | 89.8% | DeepSeek V4.1 Flash |
| ARC-AGI | Not measured | 94.5% | Only DeepSeek V4.1 Flash measured |
| ARC-AGI-2 | Not measured | 72.9% | Only DeepSeek V4.1 Flash measured |
| SimpleBench | 27.2% | Not measured | Only DeepSeek V3 0324 measured |
| Chess puzzles | Not measured | 48.0% | Only DeepSeek V4.1 Flash measured |
| Mystery game puzzles | Not measured | 43.0% | Only DeepSeek V4.1 Flash measured |
| LMArena Text: hard prompts | Not measured | 1483 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: expert | Not measured | 1501 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: hard prompts in English | Not measured | 1488 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: diagrams | Not measured | 1297 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: homework | Not measured | 1307 | 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 index01
| Benchmark | DeepSeek V3 0324 | DeepSeek V4.1 Flash | 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% | 98.3% | DeepSeek V4.1 Flash |
| FrontierMath, tiers 1 to 3 | Not measured | 67.4% | Only DeepSeek V4.1 Flash measured |
| FrontierMath, tier 4 | Not measured | 26.8% | Only DeepSeek V4.1 Flash measured |
| ProofBench | Not measured | 54.0% | Only DeepSeek V4.1 Flash measured |
| MATH level 5 | 75.5% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena Text: math | Not measured | 1478 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: mathematical work | Not measured | 1485 | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 0324 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| MMLU Pro | 79.5% | Not measured | Only DeepSeek V3 0324 measured |
| LegalBench (Vals AI) | 77.7% | 83.3% | DeepSeek V4.1 Flash |
| 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 |
| MedCode (Vals AI) | Not measured | 41.2% | Only DeepSeek V4.1 Flash measured |
| MMLU Pro (Artificial Analysis run) | 81.9% | Not measured | Only DeepSeek V3 0324 measured |
| SimpleQA Verified | Not measured | 42.9% | Only DeepSeek V4.1 Flash measured |
| LMArena Text: science | Not measured | 1469 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: medicine and healthcare | Not measured | 1484 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: legal and government | Not measured | 1443 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: business and finance | Not measured | 1461 | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | DeepSeek V3 0324 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1308 | Only DeepSeek V4.1 Flash measured |
| Design Arena: UI components | Not measured | 1312 | Only DeepSeek V4.1 Flash measured |
| Design Arena: game dev | Not measured | 1330 | Only DeepSeek V4.1 Flash measured |
| Design Arena: data viz | Not measured | 1291 | Only DeepSeek V4.1 Flash measured |
| Design Arena: 3D | Not measured | 1355 | Only DeepSeek V4.1 Flash measured |
| Design Arena: all code categories | Not measured | 1320 | Only DeepSeek V4.1 Flash measured |
| Design Arena: SVG | Not measured | 1245 | Only DeepSeek V4.1 Flash measured |
| Design Arena: ASCII art | Not measured | 1265 | Only DeepSeek V4.1 Flash measured |
| LiveBench design | Not measured | 79.2% | Only DeepSeek V4.1 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | DeepSeek V3 0324 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 79.3% | Only DeepSeek V4.1 Flash measured |
| Public Benefits Bench (Vals AI) | Not measured | 64.3% | Only DeepSeek V4.1 Flash measured |
| SAGE (Vals AI) | Not measured | 47.9% | Only DeepSeek V4.1 Flash measured |
| MedScribe (Vals AI) | Not measured | 85.5% | Only DeepSeek V4.1 Flash measured |
| IFBench | 41.0% | Not measured | Only DeepSeek V3 0324 measured |
| Long context reasoning (AA-LCR) | 40.7% | 84.0% | DeepSeek V4.1 Flash |
| DTBench | 64.8% | 89.9% | DeepSeek V4.1 Flash |
| LMCA | 15.5% | 47.0% | DeepSeek V4.1 Flash |
| Fiction.LiveBench | 50.0% | Not measured | Only DeepSeek V3 0324 measured |
| Creative writing (Lech Mazur) | 77.0% | Not measured | Only DeepSeek V3 0324 measured |
| Surface Evolver Bench | Not measured | 46.3% | Only DeepSeek V4.1 Flash measured |
| Furniture assembly | Not measured | 34.2% | Only DeepSeek V4.1 Flash measured |
| LMArena Text | Not measured | 1464 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: instruction following | Not measured | 1473 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: creative writing | Not measured | 1437 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision | Not measured | 1278 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: English | Not measured | 1473 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: non-English | Not measured | 1449 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Chinese | Not measured | 1501 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: German | Not measured | 1470 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Japanese | Not measured | 1432 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Korean | Not measured | 1436 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: French | Not measured | 1465 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Spanish | Not measured | 1459 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Russian | Not measured | 1467 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: Polish | Not measured | 1457 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: multi-turn | Not measured | 1461 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: longer queries | Not measured | 1473 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: writing and language | Not measured | 1450 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: entertainment and media | Not measured | 1445 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: English | Not measured | 1288 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: Chinese | Not measured | 1327 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: reading text | Not measured | 1282 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: humor | Not measured | 1260 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: creative writing | Not measured | 1275 | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3 0324 | DeepSeek V4.1 Flash | 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 V3 0324$0.0008Fits in one request
DeepSeek V4.1 Flash$0.0006Fits in one request
DeepSeek V4.1 Flash costs less
Repository review
50K input + 3K output tokens
DeepSeek V3 0324$0.017Fits in one request
DeepSeek V4.1 Flash$0.014Fits in one request
DeepSeek V4.1 Flash costs less
Agent loop
200K input + 10K output tokens
DeepSeek V3 0324$0.065Exceeds the context window
DeepSeek V4.1 Flash$0.053Fits in one request
DeepSeek V4.1 Flash 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 V4.1 Flash |
|---|---|---|
| Maker | DeepSeek | DeepSeek |
| Weights | Open weights | Open weights |
| Released | March 24, 2025 | September 10, 2026 |
| Context window | 164K | 1.05M |
| Input $/Mtok | $0.27 | $0.2225 |
| Output $/Mtok | $1.07 | $0.84 |
| Coding index | Not benchmarked | 62.5 |
| Independent measurements behind it | 0 | 5 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3 0324 better than DeepSeek V4.1 Flash for coding?
Only DeepSeek V4.1 Flash has a coding score, 62.5 on the Vibe Coding Index; DeepSeek V3 0324 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, DeepSeek V3 0324 or DeepSeek V4.1 Flash?
DeepSeek V3 0324 costs $0.27 per million input tokens and $1.07 per million output tokens; DeepSeek V4.1 Flash costs $0.2225 and $0.84. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V3 0324 or DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash, with 1.05M tokens against 164K.
How many benchmarks is the DeepSeek V3 0324 vs DeepSeek V4.1 Flash comparison based on?
9 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3 0324's coding index rests on 0 independent benchmarks and DeepSeek V4.1 Flash's on 5. Where only one model has a result, the page says so instead of naming a winner.