DeepSeek V3.1 vs Llama 4 Maverick
DeepSeek V3.1 leads Llama 4 Maverick on the Artificial Analysis Intelligence Index, 13.7 to 9.3, and Llama 4 Maverick costs 1.5x less per output token ($1.00 vs $1.50 per million). Updated October 22, 2026; 10 benchmarks have a result for both.
DeepSeek V3.1 or Llama 4 Maverick: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick DeepSeek V3.1 for work measured by Kagi LLM Benchmark, where it leads.
- Shared results
- 10
- DeepSeek V3.1 only
- 1
- Llama 4 Maverick only
- 75
- Like-for-like categories
- 4 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 V3.1
DeepSeek V3.1 leads, 13.7 against 9.3.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Llama 4 Maverick has a AA Agentic Index result, 0.6.
Directional only
Reasoning
GPQA Diamond
No call
Only Llama 4 Maverick has a GPQA Diamond result, 69.4%.
Directional only
Math
AIME
No call
Only Llama 4 Maverick has a AIME result, 25.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Llama 4 Maverick has a MMLU Pro result, 79.4%.
Directional only
Web design
Design Arena: websites
DeepSeek V3.1
DeepSeek V3.1 leads, 1122 against 871.
Same board, both measured
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
Llama 4 Maverick
DeepSeek V3.1 $0.0013, 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 V3.1 not benchmarked, Llama 4 Maverick not benchmarked.
- Widest category
- Web design, 27.3 points apart on average over 6 shared benchmarks.
- Widest single gap
- Design Arena: websites: DeepSeek V3.1 1122 against Llama 4 Maverick 871, 31.4 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3.1 $1.50 against Llama 4 Maverick $1.00 per million output tokens, 1.5x apart.
- Context window
- DeepSeek V3.1 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 V3.1 | Bars | Llama 4 Maverick | Ties |
|---|---|---|---|---|
| Intelligence | 1 | 0 | ||
| Reasoning | 0 | 1 | ||
| Web design | 6 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 9 | 1 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index11 boards, none shared
| Benchmark | DeepSeek V3.1 | Llama 4 Maverick | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 15.6% | Only Llama 4 Maverick measured |
| SWE-bench Verified | Not measured | 21.0% | Only Llama 4 Maverick measured |
| AA Coding Index | Not measured | 16.3 | Only Llama 4 Maverick measured |
| LiveCodeBench (Vals AI) | Not measured | 47.3% | Only Llama 4 Maverick measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 39.7% | Only Llama 4 Maverick measured |
| SciCode | Not measured | 31.7% | Only Llama 4 Maverick measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 6.8% | Only Llama 4 Maverick measured |
| WeirdML | Not measured | 24.5% | Only Llama 4 Maverick measured |
| 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 V3.1 | Llama 4 Maverick | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.7 | 9.3 | DeepSeek V3.1 |
| Epoch Capabilities Index | Not measured | 132.2 | Only Llama 4 Maverick measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | DeepSeek V3.1 | Llama 4 Maverick | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 0.6 | Only Llama 4 Maverick measured |
| τ²-Bench Telecom | Not measured | 17.8% | Only Llama 4 Maverick measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3.1 | Llama 4 Maverick | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 69.4% | Only Llama 4 Maverick measured |
| MMMU Pro (Vals AI) | Not measured | 71.7% | Only Llama 4 Maverick measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 67.1% | Only Llama 4 Maverick measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 4.9% | Only Llama 4 Maverick 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 | Not measured | 27.7% | Only Llama 4 Maverick measured |
| 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 | 53.2% | 55.9% | Llama 4 Maverick |
| Neither model has a result on the other 9 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | DeepSeek V3.1 | Llama 4 Maverick | Leader |
|---|---|---|---|
| AIME | Not measured | 25.2% | Only Llama 4 Maverick measured |
| MATH 500 (Vals AI) | Not measured | 85.2% | Only Llama 4 Maverick measured |
| MGSM (Vals AI) | Not measured | 92.4% | Only Llama 4 Maverick measured |
| AA Math Index | Not measured | 19.3 | Only Llama 4 Maverick measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 19.3% | Only Llama 4 Maverick 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 6 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
| Benchmark | DeepSeek V3.1 | Llama 4 Maverick | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 79.4% | Only Llama 4 Maverick measured |
| LegalBench (Vals AI) | Not measured | 77.8% | Only Llama 4 Maverick measured |
| CorpFin (Vals AI) | Not measured | 49.7% | Only Llama 4 Maverick measured |
| TaxEval (Vals AI) | Not measured | 66.6% | Only Llama 4 Maverick measured |
| MortgageTax (Vals AI) | Not measured | 58.5% | Only Llama 4 Maverick measured |
| MedQA (Vals AI) | Not measured | 43.3% | Only Llama 4 Maverick measured |
| MedCode (Vals AI) | Not measured | 36.5% | Only Llama 4 Maverick measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 80.9% | Only Llama 4 Maverick measured |
| 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 designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | DeepSeek V3.1 | Llama 4 Maverick | Leader |
|---|---|---|---|
| Design Arena: websites | 1122 | 871 | DeepSeek V3.1 |
| Design Arena: UI components | 1085 | 896 | DeepSeek V3.1 |
| Design Arena: game dev | 1084 | 837 | DeepSeek V3.1 |
| Design Arena: data viz | 1096 | 882 | DeepSeek V3.1 |
| Design Arena: 3D | 1077 | 900 | DeepSeek V3.1 |
| Design Arena: all code categories | 1112 | 879 | DeepSeek V3.1 |
| Design Arena: SVG | 967 | Not measured | Only DeepSeek V3.1 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V3.1 | 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 | Not measured | 43.0% | Only Llama 4 Maverick measured |
| Long context reasoning (AA-LCR) | Not measured | 50.0% | Only Llama 4 Maverick measured |
| DTBench | 82.7% | 61.9% | DeepSeek V3.1 |
| LMCA | 24.3% | 15.9% | DeepSeek V3.1 |
| Fiction.LiveBench | Not measured | 46.2% | Only Llama 4 Maverick measured |
| Creative writing (Lech Mazur) | Not measured | 62.0% | Only Llama 4 Maverick measured |
| 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 V3.1 | 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
Llama 4 Maverick costs less
Repository review
50K input + 3K output tokens
Llama 4 Maverick costs less
Agent loop
200K input + 10K output tokens
Llama 4 Maverick 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 V3.1 | Meta Llama 4 Maverick |
|---|---|---|
| Maker | DeepSeek | Meta Llama |
| Weights | Open weights | Open weights |
| Released | August 21, 2025 | April 5, 2025 |
| Context window | 164K | 524K |
| Input $/Mtok | $0.55 | $0.35 |
| Output $/Mtok | $1.50 | $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 V3.1 better than Llama 4 Maverick for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3.1 for work measured by Kagi LLM Benchmark, where it leads.
Which is cheaper, DeepSeek V3.1 or Llama 4 Maverick?
DeepSeek V3.1 costs $0.55 per million input tokens and $1.50 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 V3.1 or Llama 4 Maverick?
Llama 4 Maverick, with 524K tokens against 164K.
How many benchmarks is the DeepSeek V3.1 vs Llama 4 Maverick comparison based on?
10 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.1'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.