Llama 4 Scout vs Qwen3.6 Plus
Qwen3.6 Plus leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 27.0 to 6.5, and Llama 4 Scout costs 3.9x less per output token ($0.50 vs $1.95 per million). Updated October 21, 2026; 58 benchmarks have a result for both.
Llama 4 Scout or Qwen3.6 Plus: which to pick
Only Qwen3.6 Plus has a coding score, 44.1 on the Vibe Coding Index; Llama 4 Scout has none, so the two cannot be ranked on coding.
Pick Llama 4 Scout for output tokens 3.9x cheaper ($0.50 vs $1.95 per million) and a larger context window (1.31M against 1M tokens).
- Shared results
- 58
- Llama 4 Scout only
- 24
- Qwen3.6 Plus only
- 25
- 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 Qwen3.6 Plus has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Qwen3.6 Plus
Qwen3.6 Plus leads, 27.0 against 6.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Llama 4 Scout has a AA Agentic Index result, 0.5.
Directional only
Reasoning
GPQA Diamond
Qwen3.6 Plus
Qwen3.6 Plus leads, 87.4% against 47.0%.
Same board, both measured
Math
AIME
Qwen3.6 Plus
Qwen3.6 Plus leads, 94.6% against 19.0%.
Same board, both measured
Knowledge
MMLU Pro
Qwen3.6 Plus
Qwen3.6 Plus leads, 87.7% against 69.6%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.6 Plus
Qwen3.6 Plus leads, 1243 against 750.
Same board, both measured
Long documents
Listed context window
Llama 4 Scout
Llama 4 Scout takes 1.31M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 4 Scout
Llama 4 Scout $0.0004, Qwen3.6 Plus $0.0013 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Qwen3.6 Plus
Llama 4 Scout $1.276, Qwen3.6 Plus $1.19.
Published attempt cost and pass rate
At a glance
- Coding index
- Llama 4 Scout not benchmarked, Qwen3.6 Plus 44.1 from 3 benchmarks.
- Widest category
- Agentic work, 82.2 points apart on average over 1 shared benchmark.
- Widest single gap
- OTIS Mock AIME: Llama 4 Scout 7.8% against Qwen3.6 Plus 93.3%, 85.6 points apart on a 0 to 100 scale.
- Output price
- Llama 4 Scout $0.50 against Qwen3.6 Plus $1.95 per million output tokens, 3.9x apart.
- Context window
- Llama 4 Scout takes 1.31M tokens, Qwen3.6 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 Scout | Bars | Qwen3.6 Plus | Ties |
|---|---|---|---|---|
| Coding | 0 | 5 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 8 | ||
| Math | 0 | 4 | ||
| Knowledge | 0 | 10 | ||
| Web design | 0 | 5 | ||
| General | 0 | 23 | ||
| All shared boards | 0 | 58 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
| Benchmark | Llama 4 Scout | Qwen3.6 Plus | Leader |
|---|---|---|---|
| SWE-bench Verified | 9.1% | Not measured | Only Llama 4 Scout measured |
| LMArena WebDev | Not measured | 1461 | Only Qwen3.6 Plus measured |
| AA Coding Index | 8.2 | 54.5 | Qwen3.6 Plus |
| LiveCodeBench (Vals AI) | 38.5% | 86.0% | Qwen3.6 Plus |
| SWE-bench Verified (Vals AI) | Not measured | 73.4% | Only Qwen3.6 Plus measured |
| Vibe Code Bench (Vals AI) | Not measured | 25.6% | Only Qwen3.6 Plus measured |
| Code migration (Vals AI) | Not measured | 11.1% | Only Qwen3.6 Plus measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Qwen3.6 Plus measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 53.2% | Only Qwen3.6 Plus measured |
| LiveCodeBench (Artificial Analysis run) | 29.9% | Not measured | Only Llama 4 Scout measured |
| SciCode | 21.3% | Not measured | Only Llama 4 Scout measured |
| Terminal-Bench Hard (Artificial Analysis run) | 1.5% | 43.9% | Qwen3.6 Plus |
| ALE-Bench | Not measured | 670.1 | Only Qwen3.6 Plus measured |
| LMArena Text: coding | 1286 | 1467 | Qwen3.6 Plus |
| LMArena Text: software and IT | 1286 | 1462 | Qwen3.6 Plus |
| LMArena WebDev: React | Not measured | 1454 | Only Qwen3.6 Plus measured |
| LMArena WebDev: HTML | Not measured | 1463 | Only Qwen3.6 Plus measured |
| LMArena WebDev: from an image | Not measured | 1472 | Only Qwen3.6 Plus measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Llama 4 Scout | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.5 | 27.0 | Qwen3.6 Plus |
| Epoch Capabilities Index | 129.6 | 147.3 | Qwen3.6 Plus |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Llama 4 Scout | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | 0.5 | Not measured | Only Llama 4 Scout measured |
| Finance Agent (Vals AI) | Not measured | 40.9% | Only Qwen3.6 Plus measured |
| Tax Agent Bench (Vals AI) | Not measured | 7.7% | Only Qwen3.6 Plus measured |
| Legal Research Bench (Vals AI) | Not measured | 14.9% | Only Qwen3.6 Plus measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 32.9% | Only Qwen3.6 Plus measured |
| τ²-Bench Telecom | 15.5% | 97.7% | Qwen3.6 Plus |
| Vending-Bench 2 | Not measured | $5,115 | Only Qwen3.6 Plus measured |
| Berkeley Function Calling Leaderboard (BFCL) | 28.1% | Not measured | Only Llama 4 Scout measured |
| Neither model has a result on the other 33 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Llama 4 Scout | Qwen3.6 Plus | Leader |
|---|---|---|---|
| GPQA Diamond | 47.0% | 87.4% | Qwen3.6 Plus |
| MMMU Pro (Vals AI) | 58.8% | 84.2% | Qwen3.6 Plus |
| GPQA Diamond (Artificial Analysis run) | 58.7% | 88.2% | Qwen3.6 Plus |
| Humanity's Last Exam (Artificial Analysis run) | 3.8% | 27.8% | Qwen3.6 Plus |
| GPQA Diamond (Epoch AI run) | 51.8% | 88.4% | Qwen3.6 Plus |
| ARC-AGI | 0.5% | Not measured | Only Llama 4 Scout measured |
| ARC-AGI-2 | 0.0% | Not measured | Only Llama 4 Scout measured |
| Chess puzzles | Not measured | 14.0% | Only Qwen3.6 Plus measured |
| Mystery game puzzles | Not measured | 12.0% | Only Qwen3.6 Plus measured |
| LMArena Text: hard prompts | 1266 | 1448 | Qwen3.6 Plus |
| LMArena Text: expert | 1235 | 1454 | Qwen3.6 Plus |
| LMArena Text: hard prompts in English | 1293 | 1455 | Qwen3.6 Plus |
| LMArena Vision: diagrams | 1125 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: homework | 1148 | Not measured | Only Llama 4 Scout measured |
| Kagi LLM Benchmark | 36.9% | Not measured | Only Llama 4 Scout measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Llama 4 Scout | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AIME | 19.0% | 94.6% | Qwen3.6 Plus |
| MATH 500 (Vals AI) | 79.2% | Not measured | Only Llama 4 Scout measured |
| MGSM (Vals AI) | 88.0% | Not measured | Only Llama 4 Scout measured |
| AA Math Index | 14.0 | Not measured | Only Llama 4 Scout measured |
| AIME 2025 (Artificial Analysis run) | 14.0% | Not measured | Only Llama 4 Scout measured |
| OTIS Mock AIME | 7.8% | 93.3% | Qwen3.6 Plus |
| FrontierMath, tiers 1 to 3 | Not measured | 38.2% | Only Qwen3.6 Plus measured |
| MATH level 5 | 62.3% | Not measured | Only Llama 4 Scout measured |
| LMArena Text: math | 1287 | 1449 | Qwen3.6 Plus |
| LMArena Text: mathematical work | 1286 | 1448 | Qwen3.6 Plus |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index010
| Benchmark | Llama 4 Scout | Qwen3.6 Plus | Leader |
|---|---|---|---|
| MMLU Pro | 69.6% | 87.7% | Qwen3.6 Plus |
| LegalBench (Vals AI) | 72.0% | 84.2% | Qwen3.6 Plus |
| CaseLaw (Vals AI) | Not measured | 51.5% | Only Qwen3.6 Plus measured |
| CorpFin (Vals AI) | 46.8% | 61.9% | Qwen3.6 Plus |
| TaxEval (Vals AI) | 55.2% | 74.7% | Qwen3.6 Plus |
| MortgageTax (Vals AI) | 57.8% | 68.0% | Qwen3.6 Plus |
| MedQA (Vals AI) | 50.9% | Not measured | Only Llama 4 Scout measured |
| MedCode (Vals AI) | 23.3% | 36.9% | Qwen3.6 Plus |
| MMLU Pro (Artificial Analysis run) | 75.2% | Not measured | Only Llama 4 Scout measured |
| SimpleQA Verified | Not measured | 44.1% | Only Qwen3.6 Plus measured |
| LMArena Text: science | 1278 | 1439 | Qwen3.6 Plus |
| LMArena Text: medicine and healthcare | 1275 | 1442 | Qwen3.6 Plus |
| LMArena Text: legal and government | 1285 | 1437 | Qwen3.6 Plus |
| LMArena Text: business and finance | 1257 | 1430 | Qwen3.6 Plus |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Llama 4 Scout | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 750 | 1243 | Qwen3.6 Plus |
| Design Arena: UI components | 768 | 1233 | Qwen3.6 Plus |
| Design Arena: game dev | 773 | 1211 | Qwen3.6 Plus |
| Design Arena: data viz | 896 | 1228 | Qwen3.6 Plus |
| Design Arena: 3D | Not measured | 1202 | Only Qwen3.6 Plus measured |
| Design Arena: all code categories | 790 | 1236 | Qwen3.6 Plus |
| Design Arena: SVG | Not measured | 1161 | Only Qwen3.6 Plus measured |
| Design Arena: ASCII art | Not measured | 1113 | Only Qwen3.6 Plus measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index023
| Benchmark | Llama 4 Scout | Qwen3.6 Plus | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 34.8% | 44.9% | Qwen3.6 Plus |
| MedScribe (Vals AI) | 50.6% | 77.0% | Qwen3.6 Plus |
| Vals Multimodal Index | Not measured | 51.5% | Only Qwen3.6 Plus measured |
| IFBench | 39.5% | 75.2% | Qwen3.6 Plus |
| Long context reasoning (AA-LCR) | 27.7% | 78.3% | Qwen3.6 Plus |
| DTBench | 57.9% | 81.9% | Qwen3.6 Plus |
| LMCA | 12.0% | 33.1% | Qwen3.6 Plus |
| Fiction.LiveBench | 36.0% | Not measured | Only Llama 4 Scout measured |
| CL-bench | Not measured | 20.3% | Only Qwen3.6 Plus measured |
| LMArena Text | 1279 | 1436 | Qwen3.6 Plus |
| LMArena Text: instruction following | 1248 | 1424 | Qwen3.6 Plus |
| LMArena Text: creative writing | 1249 | 1404 | Qwen3.6 Plus |
| LMArena Vision | 1118 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: English | 1304 | 1445 | Qwen3.6 Plus |
| LMArena Text: non-English | 1252 | 1424 | Qwen3.6 Plus |
| LMArena Text: Chinese | 1255 | 1477 | Qwen3.6 Plus |
| LMArena Text: German | 1273 | 1451 | Qwen3.6 Plus |
| LMArena Text: Japanese | 1206 | 1390 | Qwen3.6 Plus |
| LMArena Text: Korean | 1207 | 1379 | Qwen3.6 Plus |
| LMArena Text: French | 1283 | 1455 | Qwen3.6 Plus |
| LMArena Text: Spanish | 1278 | 1432 | Qwen3.6 Plus |
| LMArena Text: Russian | 1263 | 1434 | Qwen3.6 Plus |
| LMArena Text: Polish | 1265 | 1433 | Qwen3.6 Plus |
| LMArena Text: multi-turn | 1280 | 1438 | Qwen3.6 Plus |
| LMArena Text: longer queries | 1265 | 1439 | Qwen3.6 Plus |
| LMArena Text: writing and language | 1269 | 1418 | Qwen3.6 Plus |
| LMArena Text: entertainment and media | 1242 | 1402 | Qwen3.6 Plus |
| LMArena Vision: English | 1143 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: Chinese | 1106 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: reading text | 1117 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: humor | 1102 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: creative writing | 1126 | Not measured | Only Llama 4 Scout measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Llama 4 Scout | Qwen3.6 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 Scout costs less
Repository review
50K input + 3K output tokens
Llama 4 Scout costs less
Agent loop
200K input + 10K output tokens
Llama 4 Scout 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 Scout | Qwen3.6 Plus |
|---|---|---|
| Maker | Meta Llama | Qwen |
| Weights | Open weights | No public weights listed |
| Released | April 5, 2025 | April 2, 2026 |
| Context window | 1.31M | 1M |
| Input $/Mtok | $0.175 | $0.325 |
| Output $/Mtok | $0.50 | $1.95 |
| Coding index | Not benchmarked | 44.1 |
| Independent measurements behind it | 0 | 3 |
| Cost per solved task | $1.276 | $1.19 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Llama 4 Scout better than Qwen3.6 Plus for coding?
Only Qwen3.6 Plus has a coding score, 44.1 on the Vibe Coding Index; Llama 4 Scout has none, so the two cannot be ranked on coding. Pick Llama 4 Scout for output tokens 3.9x cheaper ($0.50 vs $1.95 per million) and a larger context window (1.31M against 1M tokens).
Which is cheaper, Llama 4 Scout or Qwen3.6 Plus?
Llama 4 Scout costs $0.175 per million input tokens and $0.50 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Per solved SWE-bench Verified task, Llama 4 Scout costs $1.276 and Qwen3.6 Plus $1.19.
Which has the bigger context window, Llama 4 Scout or Qwen3.6 Plus?
Llama 4 Scout, with 1.31M tokens against 1M.
How many benchmarks is the Llama 4 Scout vs Qwen3.6 Plus comparison based on?
58 benchmarks have a result for both models as of October 21, 2026. Llama 4 Scout's coding index rests on 0 independent benchmarks and Qwen3.6 Plus's on 3. Where only one model has a result, the page says so instead of naming a winner.