DeepSeek V3 0324 vs Llama 4 Maverick
DeepSeek V3 0324 leads Llama 4 Maverick on the Artificial Analysis Intelligence Index, 9.7 to 9.3, at about the same output price ($1.07 vs $1.00 per million). Updated October 22, 2026; 31 benchmarks have a result for both.
DeepSeek V3 0324 or Llama 4 Maverick: 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 GPQA Diamond or GPQA Diamond (Artificial Analysis run), where it leads.
- Shared results
- 31
- DeepSeek V3 0324 only
- 4
- Llama 4 Maverick only
- 54
- 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
DeepSeek V3 0324
DeepSeek V3 0324 leads, 9.7 against 9.3.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V3 0324
DeepSeek V3 0324 leads, 0.8 against 0.6.
Same board, both measured
Reasoning
GPQA Diamond
Llama 4 Maverick
Llama 4 Maverick leads, 69.4% against 61.6%.
Same board, both measured
Math
AIME
DeepSeek V3 0324
DeepSeek V3 0324 leads, 52.2% against 25.2%.
Same board, both measured
Knowledge
MMLU Pro
DeepSeek V3 0324
DeepSeek V3 0324 leads, 79.5% against 79.4%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Llama 4 Maverick has a Design Arena: websites result, 871.
Directional only
Long documents
Listed context window
Llama 4 Maverick
Llama 4 Maverick takes 524K tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V3 0324
DeepSeek V3 0324 $0.0008, Llama 4 Maverick $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Llama 4 Maverick has the number, $1.491.
Directional only
At a glance
- Coding index
- DeepSeek V3 0324 not benchmarked, Llama 4 Maverick not benchmarked.
- Widest category
- Math, 14.9 points apart on average over 5 shared benchmarks.
- Widest single gap
- MedQA (Vals AI): DeepSeek V3 0324 82.0% against Llama 4 Maverick 43.3%, 38.7 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3 0324 $1.07 against Llama 4 Maverick $1.00 per million output tokens, 1.1x apart.
- Context window
- DeepSeek V3 0324 takes 164K tokens, Llama 4 Maverick 524K.
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 | Llama 4 Maverick | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 0 | 4 | ||
| Math | 4 | 1 | ||
| Knowledge | 5 | 1 | ||
| General | 3 | 3 | ||
| All shared boards | 22 | 9 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
| Benchmark | DeepSeek V3 0324 | Llama 4 Maverick | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 15.6% | Only Llama 4 Maverick measured |
| SWE-bench Verified | 42.0% | 21.0% | DeepSeek V3 0324 |
| AA Coding Index | 21.2 | 16.3 | DeepSeek V3 0324 |
| LiveCodeBench (Vals AI) | 65.5% | 47.3% | DeepSeek V3 0324 |
| LiveCodeBench (Artificial Analysis run) | 40.5% | 39.7% | DeepSeek V3 0324 |
| SciCode | 39.0% | 31.7% | DeepSeek V3 0324 |
| Terminal-Bench Hard (Artificial Analysis run) | 15.2% | 6.8% | DeepSeek V3 0324 |
| WeirdML | 36.1% | 24.5% | DeepSeek V3 0324 |
| ALE-Bench | Not measured | 173.0 | Only Llama 4 Maverick measured |
| LMArena Text: coding | Not measured | 1301 | Only Llama 4 Maverick measured |
| LMArena Text: software and IT | Not measured | 1299 | Only Llama 4 Maverick measured |
| Neither model has a result on the other 28 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V3 0324 | Llama 4 Maverick | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.7 | 9.3 | DeepSeek V3 0324 |
| Epoch Capabilities Index | Not measured | 132.2 | Only Llama 4 Maverick measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V3 0324 | Llama 4 Maverick | Leader |
|---|---|---|---|
| AA Agentic Index | 0.8 | 0.6 | DeepSeek V3 0324 |
| τ²-Bench Telecom | 47.1% | 17.8% | DeepSeek V3 0324 |
| 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 index04
| Benchmark | DeepSeek V3 0324 | Llama 4 Maverick | Leader |
|---|---|---|---|
| GPQA Diamond | 61.6% | 69.4% | Llama 4 Maverick |
| MMMU Pro (Vals AI) | Not measured | 71.7% | Only Llama 4 Maverick measured |
| GPQA Diamond (Artificial Analysis run) | 65.5% | 67.1% | Llama 4 Maverick |
| Humanity's Last Exam (Artificial Analysis run) | 4.7% | 4.9% | Llama 4 Maverick |
| GPQA Diamond (Epoch AI run) | 67.6% | Not measured | Only DeepSeek V3 0324 measured |
| ARC-AGI | Not measured | 4.4% | Only Llama 4 Maverick measured |
| ARC-AGI-2 | Not measured | 0.0% | Only Llama 4 Maverick measured |
| SimpleBench | 27.2% | 27.7% | Llama 4 Maverick |
| LMArena Text: hard prompts | Not measured | 1281 | Only Llama 4 Maverick measured |
| LMArena Text: expert | Not measured | 1259 | Only Llama 4 Maverick measured |
| LMArena Text: hard prompts in English | Not measured | 1295 | Only Llama 4 Maverick measured |
| LMArena Vision: diagrams | Not measured | 1134 | Only Llama 4 Maverick measured |
| LMArena Vision: homework | Not measured | 1164 | Only Llama 4 Maverick measured |
| Kagi LLM Benchmark | Not measured | 55.9% | Only Llama 4 Maverick measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | DeepSeek V3 0324 | Llama 4 Maverick | Leader |
|---|---|---|---|
| AIME | 52.2% | 25.2% | DeepSeek V3 0324 |
| MATH 500 (Vals AI) | 88.6% | 85.2% | DeepSeek V3 0324 |
| MGSM (Vals AI) | 91.7% | 92.4% | Llama 4 Maverick |
| AA Math Index | 41.0 | 19.3 | DeepSeek V3 0324 |
| AIME 2025 (Artificial Analysis run) | 41.0% | 19.3% | DeepSeek V3 0324 |
| 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 | 1299 | Only Llama 4 Maverick measured |
| LMArena Text: mathematical work | Not measured | 1295 | Only Llama 4 Maverick measured |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | DeepSeek V3 0324 | Llama 4 Maverick | Leader |
|---|---|---|---|
| MMLU Pro | 79.5% | 79.4% | DeepSeek V3 0324 |
| LegalBench (Vals AI) | 77.7% | 77.8% | Llama 4 Maverick |
| CorpFin (Vals AI) | 54.7% | 49.7% | DeepSeek V3 0324 |
| TaxEval (Vals AI) | 71.1% | 66.6% | DeepSeek V3 0324 |
| MortgageTax (Vals AI) | Not measured | 58.5% | Only Llama 4 Maverick measured |
| MedQA (Vals AI) | 82.0% | 43.3% | DeepSeek V3 0324 |
| MedCode (Vals AI) | Not measured | 36.5% | Only Llama 4 Maverick measured |
| MMLU Pro (Artificial Analysis run) | 81.9% | 80.9% | DeepSeek V3 0324 |
| GeoBench | Not measured | 52.0% | Only Llama 4 Maverick measured |
| LMArena Text: science | Not measured | 1288 | Only Llama 4 Maverick measured |
| LMArena Text: medicine and healthcare | Not measured | 1275 | Only Llama 4 Maverick measured |
| LMArena Text: legal and government | Not measured | 1286 | Only Llama 4 Maverick measured |
| LMArena Text: business and finance | Not measured | 1260 | Only Llama 4 Maverick measured |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | DeepSeek V3 0324 | Llama 4 Maverick | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 871 | Only Llama 4 Maverick measured |
| Design Arena: UI components | Not measured | 896 | Only Llama 4 Maverick measured |
| Design Arena: game dev | Not measured | 837 | Only Llama 4 Maverick measured |
| Design Arena: data viz | Not measured | 882 | Only Llama 4 Maverick measured |
| Design Arena: 3D | Not measured | 900 | Only Llama 4 Maverick measured |
| Design Arena: all code categories | Not measured | 879 | Only Llama 4 Maverick measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | DeepSeek V3 0324 | Llama 4 Maverick | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 35.7% | Only Llama 4 Maverick measured |
| MedScribe (Vals AI) | Not measured | 54.2% | Only Llama 4 Maverick measured |
| IFBench | 41.0% | 43.0% | Llama 4 Maverick |
| Long context reasoning (AA-LCR) | 40.7% | 50.0% | Llama 4 Maverick |
| DTBench | 64.8% | 61.9% | DeepSeek V3 0324 |
| LMCA | 15.5% | 15.9% | Llama 4 Maverick |
| Fiction.LiveBench | 50.0% | 46.2% | DeepSeek V3 0324 |
| Creative writing (Lech Mazur) | 77.0% | 62.0% | DeepSeek V3 0324 |
| LMArena Text | Not measured | 1287 | Only Llama 4 Maverick measured |
| LMArena Text: instruction following | Not measured | 1267 | Only Llama 4 Maverick measured |
| LMArena Text: creative writing | Not measured | 1266 | Only Llama 4 Maverick measured |
| LMArena Vision | Not measured | 1142 | Only Llama 4 Maverick measured |
| LMArena Text: English | Not measured | 1303 | Only Llama 4 Maverick measured |
| LMArena Text: non-English | Not measured | 1269 | Only Llama 4 Maverick measured |
| LMArena Text: Chinese | Not measured | 1277 | Only Llama 4 Maverick measured |
| LMArena Text: German | Not measured | 1291 | Only Llama 4 Maverick measured |
| LMArena Text: Japanese | Not measured | 1206 | Only Llama 4 Maverick measured |
| LMArena Text: Korean | Not measured | 1203 | Only Llama 4 Maverick measured |
| LMArena Text: French | Not measured | 1259 | Only Llama 4 Maverick measured |
| LMArena Text: Spanish | Not measured | 1293 | Only Llama 4 Maverick measured |
| LMArena Text: Russian | Not measured | 1286 | Only Llama 4 Maverick measured |
| LMArena Text: Polish | Not measured | 1275 | Only Llama 4 Maverick measured |
| LMArena Text: multi-turn | Not measured | 1289 | Only Llama 4 Maverick measured |
| LMArena Text: longer queries | Not measured | 1280 | Only Llama 4 Maverick measured |
| LMArena Text: writing and language | Not measured | 1277 | Only Llama 4 Maverick measured |
| LMArena Text: entertainment and media | Not measured | 1250 | Only Llama 4 Maverick measured |
| LMArena Vision: English | Not measured | 1150 | Only Llama 4 Maverick measured |
| LMArena Vision: Chinese | Not measured | 1141 | Only Llama 4 Maverick measured |
| LMArena Vision: reading text | Not measured | 1143 | Only Llama 4 Maverick measured |
| LMArena Vision: humor | Not measured | 1100 | Only Llama 4 Maverick measured |
| LMArena Vision: creative writing | Not measured | 1099 | Only Llama 4 Maverick measured |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3 0324 | Llama 4 Maverick | 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 costs less
Repository review
50K input + 3K output tokens
DeepSeek V3 0324 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V3 0324 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 | Meta Llama 4 Maverick |
|---|---|---|
| Maker | DeepSeek | Meta Llama |
| Weights | Open weights | Open weights |
| Released | March 24, 2025 | April 5, 2025 |
| Context window | 164K | 524K |
| Input $/Mtok | $0.27 | $0.35 |
| Output $/Mtok | $1.07 | $1.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | $1.491 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3 0324 better than Llama 4 Maverick 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 GPQA Diamond or GPQA Diamond (Artificial Analysis run), where it leads.
Which is cheaper, DeepSeek V3 0324 or Llama 4 Maverick?
DeepSeek V3 0324 costs $0.27 per million input tokens and $1.07 per million output tokens; Llama 4 Maverick costs $0.35 and $1.00. Cost per solved task is known for Llama 4 Maverick only.
Which has the bigger context window, DeepSeek V3 0324 or Llama 4 Maverick?
Llama 4 Maverick, with 524K tokens against 164K.
How many benchmarks is the DeepSeek V3 0324 vs Llama 4 Maverick comparison based on?
31 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3 0324's coding index rests on 0 independent benchmarks and Llama 4 Maverick's on 0. Where only one model has a result, the page says so instead of naming a winner.