Llama 4 Maverick vs Qwen3.7 Plus
Qwen3.7 Plus leads Llama 4 Maverick on the Artificial Analysis Intelligence Index, 25.2 to 9.3, and Llama 4 Maverick costs 1.3x less per output token ($1.00 vs $1.28 per million). Updated October 22, 2026; 57 benchmarks have a result for both.
Llama 4 Maverick or Qwen3.7 Plus: which to pick
Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Llama 4 Maverick has none, so the two cannot be ranked on coding.
Pick Llama 4 Maverick for output tokens 1.3x cheaper ($1.00 vs $1.28 per million).
- Shared results
- 57
- Llama 4 Maverick only
- 28
- Qwen3.7 Plus only
- 18
- Like-for-like categories
- 8 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 Qwen3.7 Plus has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Qwen3.7 Plus
Qwen3.7 Plus leads, 25.2 against 9.3.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.7 Plus
Qwen3.7 Plus leads, 17.5 against 0.6.
Same board, both measured
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
Qwen3.7 Plus
Qwen3.7 Plus leads, 1269 against 871.
Same board, both measured
Long documents
Listed context window
Qwen3.7 Plus
Qwen3.7 Plus takes 1M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 4 Maverick
Llama 4 Maverick $0.0008, Qwen3.7 Plus $0.0010 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, Qwen3.7 Plus 33.2 from 2 benchmarks.
- Widest category
- Web design, 48.0 points apart on average over 6 shared benchmarks.
- Widest single gap
- τ²-Bench Telecom: Llama 4 Maverick 17.8% against Qwen3.7 Plus 93.0%, 75.1 points apart on a 0 to 100 scale.
- Output price
- Llama 4 Maverick $1.00 against Qwen3.7 Plus $1.28 per million output tokens, 1.3x apart.
- Context window
- Llama 4 Maverick takes 524K tokens, Qwen3.7 Plus 1M.
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 | Qwen3.7 Plus | Ties |
|---|---|---|---|---|
| Coding | 0 | 5 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 0 | 7 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 5 | ||
| Web design | 0 | 6 | ||
| General | 0 | 28 | ||
| All shared boards | 0 | 57 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
| Benchmark | Llama 4 Maverick | Qwen3.7 Plus | 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 | 55.9 | Qwen3.7 Plus |
| LiveCodeBench (Vals AI) | 47.3% | Not measured | Only Llama 4 Maverick measured |
| Vibe Code Bench (Vals AI) | Not measured | 46.4% | Only Qwen3.7 Plus measured |
| Code migration (Vals AI) | Not measured | 12.9% | Only Qwen3.7 Plus measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 52.8% | Only Qwen3.7 Plus measured |
| SkillsBench (Vals AI) | Not measured | 54.3% | Only Qwen3.7 Plus measured |
| LiveCodeBench (Artificial Analysis run) | 39.7% | Not measured | Only Llama 4 Maverick measured |
| SciCode | 31.7% | 46.1% | Qwen3.7 Plus |
| Terminal-Bench Hard (Artificial Analysis run) | 6.8% | 47.0% | Qwen3.7 Plus |
| FrontierCode | Not measured | 10.2% | Only Qwen3.7 Plus measured |
| 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 | 1473 | Qwen3.7 Plus |
| LMArena Text: software and IT | 1299 | 1473 | Qwen3.7 Plus |
| Neither model has a result on the other 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Llama 4 Maverick | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.3 | 25.2 | Qwen3.7 Plus |
| Epoch Capabilities Index | 132.2 | 147.0 | Qwen3.7 Plus |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Llama 4 Maverick | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | 0.6 | 17.5 | Qwen3.7 Plus |
| Finance Agent (Vals AI) | Not measured | 38.2% | Only Qwen3.7 Plus measured |
| Tax Agent Bench (Vals AI) | Not measured | 10.5% | Only Qwen3.7 Plus measured |
| Legal Research Bench (Vals AI) | Not measured | 16.4% | Only Qwen3.7 Plus measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 49.3% | Only Qwen3.7 Plus measured |
| τ²-Bench Telecom | 17.8% | 93.0% | Qwen3.7 Plus |
| OSWorld 2.0 | Not measured | 2.8% | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Llama 4 Maverick | Qwen3.7 Plus | 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% | 90.0% | Qwen3.7 Plus |
| Humanity's Last Exam (Artificial Analysis run) | 4.9% | 35.6% | Qwen3.7 Plus |
| GPQA Diamond (Epoch AI run) | Not measured | 87.9% | Only Qwen3.7 Plus 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 |
| Mystery game puzzles | Not measured | 17.0% | Only Qwen3.7 Plus measured |
| LMArena Text: hard prompts | 1281 | 1460 | Qwen3.7 Plus |
| LMArena Text: expert | 1259 | 1466 | Qwen3.7 Plus |
| LMArena Text: hard prompts in English | 1295 | 1460 | Qwen3.7 Plus |
| LMArena Vision: diagrams | 1134 | 1292 | Qwen3.7 Plus |
| LMArena Vision: homework | 1164 | 1295 | Qwen3.7 Plus |
| Kagi LLM Benchmark | 55.9% | Not measured | Only Llama 4 Maverick measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Llama 4 Maverick | Qwen3.7 Plus | 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 | Not measured | Only Llama 4 Maverick measured |
| AIME 2025 (Artificial Analysis run) | 19.3% | Not measured | Only Llama 4 Maverick measured |
| OTIS Mock AIME | Not measured | 93.3% | Only Qwen3.7 Plus measured |
| FrontierMath, tiers 1 to 3 | Not measured | 34.4% | Only Qwen3.7 Plus measured |
| LMArena Text: math | 1299 | 1467 | Qwen3.7 Plus |
| LMArena Text: mathematical work | 1295 | 1470 | Qwen3.7 Plus |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Llama 4 Maverick | Qwen3.7 Plus | 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% | 66.2% | Qwen3.7 Plus |
| 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% | Not measured | Only Llama 4 Maverick measured |
| GeoBench | 52.0% | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: science | 1288 | 1464 | Qwen3.7 Plus |
| LMArena Text: medicine and healthcare | 1275 | 1464 | Qwen3.7 Plus |
| LMArena Text: legal and government | 1286 | 1451 | Qwen3.7 Plus |
| LMArena Text: business and finance | 1260 | 1435 | Qwen3.7 Plus |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Llama 4 Maverick | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 871 | 1269 | Qwen3.7 Plus |
| Design Arena: UI components | 896 | 1258 | Qwen3.7 Plus |
| Design Arena: game dev | 837 | 1261 | Qwen3.7 Plus |
| Design Arena: data viz | 882 | 1276 | Qwen3.7 Plus |
| Design Arena: 3D | 900 | 1238 | Qwen3.7 Plus |
| Design Arena: all code categories | 879 | 1269 | Qwen3.7 Plus |
| Design Arena: SVG | Not measured | 1208 | Only Qwen3.7 Plus measured |
| Design Arena: ASCII art | Not measured | 1143 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index028
| Benchmark | Llama 4 Maverick | Qwen3.7 Plus | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 35.7% | 39.3% | Qwen3.7 Plus |
| MedScribe (Vals AI) | 54.2% | Not measured | Only Llama 4 Maverick measured |
| Vals Multimodal Index | Not measured | 53.9% | Only Qwen3.7 Plus measured |
| IFBench | 43.0% | 78.0% | Qwen3.7 Plus |
| Long context reasoning (AA-LCR) | 50.0% | 73.0% | Qwen3.7 Plus |
| DTBench | 61.9% | 84.0% | Qwen3.7 Plus |
| LMCA | 15.9% | 37.6% | Qwen3.7 Plus |
| Fiction.LiveBench | 46.2% | Not measured | Only Llama 4 Maverick measured |
| Creative writing (Lech Mazur) | 62.0% | Not measured | Only Llama 4 Maverick measured |
| LMArena Text | 1287 | 1454 | Qwen3.7 Plus |
| LMArena Text: instruction following | 1267 | 1439 | Qwen3.7 Plus |
| LMArena Text: creative writing | 1266 | 1438 | Qwen3.7 Plus |
| LMArena Vision | 1142 | 1278 | Qwen3.7 Plus |
| LMArena Text: English | 1303 | 1458 | Qwen3.7 Plus |
| LMArena Text: non-English | 1269 | 1445 | Qwen3.7 Plus |
| LMArena Text: Chinese | 1277 | 1509 | Qwen3.7 Plus |
| LMArena Text: German | 1291 | 1471 | Qwen3.7 Plus |
| LMArena Text: Japanese | 1206 | 1412 | Qwen3.7 Plus |
| LMArena Text: Korean | 1203 | 1413 | Qwen3.7 Plus |
| LMArena Text: French | 1259 | 1472 | Qwen3.7 Plus |
| LMArena Text: Spanish | 1293 | 1457 | Qwen3.7 Plus |
| LMArena Text: Russian | 1286 | 1457 | Qwen3.7 Plus |
| LMArena Text: Polish | 1275 | 1449 | Qwen3.7 Plus |
| LMArena Text: multi-turn | 1289 | 1459 | Qwen3.7 Plus |
| LMArena Text: longer queries | 1280 | 1454 | Qwen3.7 Plus |
| LMArena Text: writing and language | 1277 | 1437 | Qwen3.7 Plus |
| LMArena Text: entertainment and media | 1250 | 1422 | Qwen3.7 Plus |
| LMArena Vision: English | 1150 | 1280 | Qwen3.7 Plus |
| LMArena Vision: Chinese | 1141 | 1332 | Qwen3.7 Plus |
| LMArena Vision: reading text | 1143 | 1288 | Qwen3.7 Plus |
| LMArena Vision: humor | 1100 | 1261 | Qwen3.7 Plus |
| LMArena Vision: creative writing | 1099 | 1258 | Qwen3.7 Plus |
| LMArena Document | Not measured | 1444 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Llama 4 Maverick | Qwen3.7 Plus | 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
Qwen3.7 Plus costs less
Agent loop
200K input + 10K output tokens
Qwen3.7 Plus 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 | Qwen3.7 Plus |
|---|---|---|
| Maker | Meta Llama | Qwen |
| Weights | Open weights | No public weights listed |
| Released | April 5, 2025 | June 3, 2026 |
| Context window | 524K | 1M |
| Input $/Mtok | $0.35 | $0.32 |
| Output $/Mtok | $1.00 | $1.28 |
| Coding index | Not benchmarked | 33.2 |
| Independent measurements behind it | 0 | 2 |
| Cost per solved task | $1.491 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Llama 4 Maverick better than Qwen3.7 Plus for coding?
Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Llama 4 Maverick has none, so the two cannot be ranked on coding. Pick Llama 4 Maverick for output tokens 1.3x cheaper ($1.00 vs $1.28 per million).
Which is cheaper, Llama 4 Maverick or Qwen3.7 Plus?
Llama 4 Maverick costs $0.35 per million input tokens and $1.00 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for Llama 4 Maverick only.
Which has the bigger context window, Llama 4 Maverick or Qwen3.7 Plus?
Qwen3.7 Plus, with 1M tokens against 524K.
How many benchmarks is the Llama 4 Maverick vs Qwen3.7 Plus comparison based on?
57 benchmarks have a result for both models as of October 22, 2026. Llama 4 Maverick's coding index rests on 0 independent benchmarks and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.