Llama 4 Maverick vs Qwen3 14B
Llama 4 Maverick leads Qwen3 14B on the Artificial Analysis Intelligence Index, 9.3 to 6.7, and Qwen3 14B costs 4.3x less per output token ($0.23 vs $1.00 per million). Updated October 22, 2026; 17 benchmarks have a result for both.
Llama 4 Maverick or Qwen3 14B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Llama 4 Maverick for a larger context window (524K against 41K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or Epoch Capabilities Index, where it leads.
- Shared results
- 17
- Llama 4 Maverick only
- 68
- Qwen3 14B only
- 3
- 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
Llama 4 Maverick
Llama 4 Maverick leads, 9.3 against 6.7.
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
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 41K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 14B
Llama 4 Maverick $0.0008, Qwen3 14B $0.0002 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
- Llama 4 Maverick not benchmarked, Qwen3 14B not benchmarked.
- Widest category
- Math, 38.7 points apart on average over 2 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Llama 4 Maverick 50.0% against Qwen3 14B 0.0%, 50.0 points apart on a 0 to 100 scale.
- Output price
- Llama 4 Maverick $1.00 against Qwen3 14B $0.23 per million output tokens, 4.3x apart.
- Context window
- Llama 4 Maverick takes 524K tokens, Qwen3 14B 41K.
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 | Llama 4 Maverick | Bars | Qwen3 14B | Ties |
|---|---|---|---|---|
| Coding | 2 | 1 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 3 | 0 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 0 | ||
| General | 2 | 3 | ||
| All shared boards | 9 | 8 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index21
| Benchmark | Llama 4 Maverick | Qwen3 14B | Leader |
|---|---|---|---|
| Aider polyglot | 15.6% | Not measured | Only Llama 4 Maverick measured |
| SWE-bench Verified | 21.0% | Not measured | Only Llama 4 Maverick measured |
| AA Coding Index | 16.3 | Not measured | Only Llama 4 Maverick measured |
| LiveCodeBench (Vals AI) | 47.3% | Not measured | Only Llama 4 Maverick measured |
| LiveCodeBench (Artificial Analysis run) | 39.7% | 52.3% | Qwen3 14B |
| SciCode | 31.7% | 30.7% | Llama 4 Maverick |
| Terminal-Bench Hard (Artificial Analysis run) | 6.8% | 5.3% | Llama 4 Maverick |
| WeirdML | 24.5% | Not measured | Only Llama 4 Maverick measured |
| ALE-Bench | 173.0 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: coding | 1301 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: software and IT | 1299 | Not measured | 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 index11
| Benchmark | Llama 4 Maverick | Qwen3 14B | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.3 | 6.7 | Llama 4 Maverick |
| Epoch Capabilities Index | 132.2 | 138.2 | Qwen3 14B |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Llama 4 Maverick | Qwen3 14B | Leader |
|---|---|---|---|
| AA Agentic Index | 0.6 | Not measured | Only Llama 4 Maverick measured |
| τ²-Bench Telecom | 17.8% | 34.5% | Qwen3 14B |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 41.0% | Only Qwen3 14B measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Llama 4 Maverick | Qwen3 14B | Leader |
|---|---|---|---|
| GPQA Diamond | 69.4% | Not measured | Only Llama 4 Maverick measured |
| MMMU Pro (Vals AI) | 71.7% | Not measured | Only Llama 4 Maverick measured |
| GPQA Diamond (Artificial Analysis run) | 67.1% | 60.4% | Llama 4 Maverick |
| Humanity's Last Exam (Artificial Analysis run) | 4.9% | 4.5% | Llama 4 Maverick |
| GPQA Diamond (Epoch AI run) | Not measured | 63.8% | Only Qwen3 14B measured |
| ARC-AGI | 4.4% | Not measured | Only Llama 4 Maverick measured |
| ARC-AGI-2 | 0.0% | Not measured | Only Llama 4 Maverick measured |
| SimpleBench | 27.7% | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: hard prompts | 1281 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: expert | 1259 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: hard prompts in English | 1295 | Not measured | Only Llama 4 Maverick measured |
| LMArena Vision: diagrams | 1134 | Not measured | Only Llama 4 Maverick measured |
| LMArena Vision: homework | 1164 | Not measured | Only Llama 4 Maverick measured |
| Kagi LLM Benchmark | 55.9% | 49.1% | Llama 4 Maverick |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Llama 4 Maverick | Qwen3 14B | Leader |
|---|---|---|---|
| AIME | 25.2% | Not measured | Only Llama 4 Maverick measured |
| MATH 500 (Vals AI) | 85.2% | Not measured | Only Llama 4 Maverick measured |
| MGSM (Vals AI) | 92.4% | Not measured | Only Llama 4 Maverick measured |
| AA Math Index | 19.3 | 58.0 | Qwen3 14B |
| AIME 2025 (Artificial Analysis run) | 19.3% | 58.0% | Qwen3 14B |
| OTIS Mock AIME | Not measured | 66.4% | Only Qwen3 14B measured |
| LMArena Text: math | 1299 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: mathematical work | 1295 | Not measured | Only Llama 4 Maverick measured |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Llama 4 Maverick | Qwen3 14B | Leader |
|---|---|---|---|
| MMLU Pro | 79.4% | Not measured | Only Llama 4 Maverick measured |
| LegalBench (Vals AI) | 77.8% | Not measured | Only Llama 4 Maverick measured |
| CorpFin (Vals AI) | 49.7% | Not measured | Only Llama 4 Maverick measured |
| TaxEval (Vals AI) | 66.6% | Not measured | Only Llama 4 Maverick measured |
| MortgageTax (Vals AI) | 58.5% | Not measured | Only Llama 4 Maverick measured |
| MedQA (Vals AI) | 43.3% | Not measured | Only Llama 4 Maverick measured |
| MedCode (Vals AI) | 36.5% | Not measured | Only Llama 4 Maverick measured |
| MMLU Pro (Artificial Analysis run) | 80.9% | 77.4% | Llama 4 Maverick |
| GeoBench | 52.0% | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: science | 1288 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: medicine and healthcare | 1275 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: legal and government | 1286 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: business and finance | 1260 | Not measured | 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 | Llama 4 Maverick | Qwen3 14B | Leader |
|---|---|---|---|
| Design Arena: websites | 871 | Not measured | Only Llama 4 Maverick measured |
| Design Arena: UI components | 896 | Not measured | Only Llama 4 Maverick measured |
| Design Arena: game dev | 837 | Not measured | Only Llama 4 Maverick measured |
| Design Arena: data viz | 882 | Not measured | Only Llama 4 Maverick measured |
| Design Arena: 3D | 900 | Not measured | Only Llama 4 Maverick measured |
| Design Arena: all code categories | 879 | Not measured | 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 index23
| Benchmark | Llama 4 Maverick | Qwen3 14B | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 35.7% | Not measured | Only Llama 4 Maverick measured |
| MedScribe (Vals AI) | 54.2% | Not measured | Only Llama 4 Maverick measured |
| IFBench | 43.0% | 40.5% | Llama 4 Maverick |
| Long context reasoning (AA-LCR) | 50.0% | 0.0% | Llama 4 Maverick |
| DTBench | 61.9% | 64.0% | Qwen3 14B |
| LMCA | 15.9% | 18.2% | Qwen3 14B |
| Fiction.LiveBench | 46.2% | 62.5% | Qwen3 14B |
| Creative writing (Lech Mazur) | 62.0% | Not measured | Only Llama 4 Maverick measured |
| LMArena Text | 1287 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: instruction following | 1267 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: creative writing | 1266 | Not measured | Only Llama 4 Maverick measured |
| LMArena Vision | 1142 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: English | 1303 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: non-English | 1269 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: Chinese | 1277 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: German | 1291 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: Japanese | 1206 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: Korean | 1203 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: French | 1259 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: Spanish | 1293 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: Russian | 1286 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: Polish | 1275 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: multi-turn | 1289 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: longer queries | 1280 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: writing and language | 1277 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: entertainment and media | 1250 | Not measured | Only Llama 4 Maverick measured |
| LMArena Vision: English | 1150 | Not measured | Only Llama 4 Maverick measured |
| LMArena Vision: Chinese | 1141 | Not measured | Only Llama 4 Maverick measured |
| LMArena Vision: reading text | 1143 | Not measured | Only Llama 4 Maverick measured |
| LMArena Vision: humor | 1100 | Not measured | Only Llama 4 Maverick measured |
| LMArena Vision: creative writing | 1099 | Not measured | 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 | Llama 4 Maverick | Qwen3 14B | 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
Qwen3 14B costs less
Repository review
50K input + 3K output tokens
Qwen3 14B costs less
Agent loop
200K input + 10K output tokens
Qwen3 14B 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 | Meta Llama 4 Maverick | Qwen3 14B |
|---|---|---|
| Maker | Meta Llama | Qwen |
| Weights | Open weights | Open weights |
| Released | April 5, 2025 | April 28, 2025 |
| Context window | 524K | 41K |
| Input $/Mtok | $0.35 | $0.11 |
| Output $/Mtok | $1.00 | $0.23 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | $1.491 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Llama 4 Maverick better than Qwen3 14B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Llama 4 Maverick for a larger context window (524K against 41K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or Epoch Capabilities Index, where it leads.
Which is cheaper, Llama 4 Maverick or Qwen3 14B?
Llama 4 Maverick costs $0.35 per million input tokens and $1.00 per million output tokens; Qwen3 14B costs $0.11 and $0.23. Cost per solved task is known for Llama 4 Maverick only.
Which has the bigger context window, Llama 4 Maverick or Qwen3 14B?
Llama 4 Maverick, with 524K tokens against 41K.
How many benchmarks is the Llama 4 Maverick vs Qwen3 14B comparison based on?
17 benchmarks have a result for both models as of October 22, 2026. Llama 4 Maverick's coding index rests on 0 independent benchmarks and Qwen3 14B's on 0. Where only one model has a result, the page says so instead of naming a winner.