Llama 4 Maverick vs Qwen3.5-Flash
Qwen3.5-Flash costs 3.8x less per output token than Llama 4 Maverick ($0.26 vs $1.00 per million). Updated October 22, 2026; 44 benchmarks have a result for both.
Llama 4 Maverick or Qwen3.5-Flash: which to pick
Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; Llama 4 Maverick has none, so the two cannot be ranked on coding.
Pick Llama 4 Maverick for work measured by MedCode (Vals AI), where it leads.
- Shared results
- 44
- Llama 4 Maverick only
- 41
- Qwen3.5-Flash only
- 11
- Like-for-like categories
- 6 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 Qwen3.5-Flash has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Llama 4 Maverick has a AA Intelligence Index result, 9.3.
Directional only
Agentic work
AA Agentic Index
No call
Only Llama 4 Maverick has a AA Agentic Index result, 0.6.
Directional only
Reasoning
GPQA Diamond
Qwen3.5-Flash
Qwen3.5-Flash leads, 82.8% against 69.4%.
Same board, both measured
Math
AIME
Qwen3.5-Flash
Qwen3.5-Flash leads, 92.5% against 25.2%.
Same board, both measured
Knowledge
MMLU Pro
Qwen3.5-Flash
Qwen3.5-Flash leads, 84.1% 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
Qwen3.5-Flash
Qwen3.5-Flash takes 1M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5-Flash
Llama 4 Maverick $0.0008, Qwen3.5-Flash $0.0002 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Qwen3.5-Flash
Llama 4 Maverick $1.491, Qwen3.5-Flash $0.40.
Published attempt cost and pass rate
At a glance
- Coding index
- Llama 4 Maverick not benchmarked, Qwen3.5-Flash 41.1 from 2 benchmarks.
- Widest category
- Math, 35.0 points apart on average over 3 shared benchmarks.
- Widest single gap
- AIME: Llama 4 Maverick 25.2% against Qwen3.5-Flash 92.5%, 67.3 points apart on a 0 to 100 scale.
- Output price
- Llama 4 Maverick $1.00 against Qwen3.5-Flash $0.26 per million output tokens, 3.8x apart.
- Context window
- Llama 4 Maverick takes 524K tokens, Qwen3.5-Flash 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 | Qwen3.5-Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 3 | ||
| Knowledge | 1 | 9 | ||
| General | 0 | 21 | ||
| All shared boards | 1 | 43 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
| Benchmark | Llama 4 Maverick | Qwen3.5-Flash | Leader |
|---|---|---|---|
| Aider polyglot | 15.6% | Not measured | Only Llama 4 Maverick measured |
| SWE-bench Verified | 21.0% | Not measured | Only Llama 4 Maverick measured |
| LMArena WebDev | Not measured | 1244 | Only Qwen3.5-Flash measured |
| AA Coding Index | 16.3 | Not measured | Only Llama 4 Maverick measured |
| LiveCodeBench (Vals AI) | 47.3% | 83.3% | Qwen3.5-Flash |
| SWE-bench Verified (Vals AI) | Not measured | 64.4% | Only Qwen3.5-Flash measured |
| LiveCodeBench (Artificial Analysis run) | 39.7% | Not measured | Only Llama 4 Maverick measured |
| SciCode | 31.7% | Not measured | Only Llama 4 Maverick measured |
| Terminal-Bench Hard (Artificial Analysis run) | 6.8% | Not measured | Only Llama 4 Maverick measured |
| WeirdML | 24.5% | Not measured | Only Llama 4 Maverick measured |
| ALE-Bench | 173.0 | 265.9 | Qwen3.5-Flash |
| LMArena Text: coding | 1301 | 1412 | Qwen3.5-Flash |
| LMArena Text: software and IT | 1299 | 1416 | Qwen3.5-Flash |
| LMArena WebDev: React | Not measured | 1229 | Only Qwen3.5-Flash measured |
| LMArena WebDev: HTML | Not measured | 1291 | Only Qwen3.5-Flash measured |
| Neither model has a result on the other 28 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Llama 4 Maverick | Qwen3.5-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.3 | Not measured | Only Llama 4 Maverick measured |
| Epoch Capabilities Index | 132.2 | 143.5 | Qwen3.5-Flash |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Llama 4 Maverick | Qwen3.5-Flash | Leader |
|---|---|---|---|
| AA Agentic Index | 0.6 | Not measured | Only Llama 4 Maverick measured |
| τ²-Bench Telecom | 17.8% | Not measured | Only Llama 4 Maverick measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Llama 4 Maverick | Qwen3.5-Flash | Leader |
|---|---|---|---|
| GPQA Diamond | 69.4% | 82.8% | Qwen3.5-Flash |
| MMMU Pro (Vals AI) | 71.7% | 81.9% | Qwen3.5-Flash |
| GPQA Diamond (Artificial Analysis run) | 67.1% | Not measured | Only Llama 4 Maverick measured |
| Humanity's Last Exam (Artificial Analysis run) | 4.9% | Not measured | Only Llama 4 Maverick measured |
| GPQA Diamond (Epoch AI run) | Not measured | 82.3% | Only Qwen3.5-Flash 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 |
| Chess puzzles | Not measured | 14.0% | Only Qwen3.5-Flash measured |
| Mystery game puzzles | Not measured | 20.0% | Only Qwen3.5-Flash measured |
| LMArena Text: hard prompts | 1281 | 1403 | Qwen3.5-Flash |
| LMArena Text: expert | 1259 | 1407 | Qwen3.5-Flash |
| LMArena Text: hard prompts in English | 1295 | 1409 | Qwen3.5-Flash |
| 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% | 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 index03
| Benchmark | Llama 4 Maverick | Qwen3.5-Flash | Leader |
|---|---|---|---|
| AIME | 25.2% | 92.5% | Qwen3.5-Flash |
| 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 | 84.4% | Only Qwen3.5-Flash measured |
| FrontierMath, tiers 1 to 3 | Not measured | 18.2% | Only Qwen3.5-Flash measured |
| LMArena Text: math | 1299 | 1407 | Qwen3.5-Flash |
| LMArena Text: mathematical work | 1295 | 1413 | Qwen3.5-Flash |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index19
| Benchmark | Llama 4 Maverick | Qwen3.5-Flash | Leader |
|---|---|---|---|
| MMLU Pro | 79.4% | 84.1% | Qwen3.5-Flash |
| LegalBench (Vals AI) | 77.8% | 84.3% | Qwen3.5-Flash |
| CaseLaw (Vals AI) | Not measured | 56.0% | Only Qwen3.5-Flash measured |
| CorpFin (Vals AI) | 49.7% | 63.6% | Qwen3.5-Flash |
| TaxEval (Vals AI) | 66.6% | 72.2% | Qwen3.5-Flash |
| MortgageTax (Vals AI) | 58.5% | 67.4% | Qwen3.5-Flash |
| MedQA (Vals AI) | 43.3% | Not measured | Only Llama 4 Maverick measured |
| MedCode (Vals AI) | 36.5% | 33.0% | Llama 4 Maverick |
| MMLU Pro (Artificial Analysis run) | 80.9% | Not measured | Only Llama 4 Maverick measured |
| SimpleQA Verified | Not measured | 20.3% | Only Qwen3.5-Flash measured |
| GeoBench | 52.0% | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: science | 1288 | 1415 | Qwen3.5-Flash |
| LMArena Text: medicine and healthcare | 1275 | 1407 | Qwen3.5-Flash |
| LMArena Text: legal and government | 1286 | 1398 | Qwen3.5-Flash |
| LMArena Text: business and finance | 1260 | 1394 | Qwen3.5-Flash |
| 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 | Qwen3.5-Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 871 | Not measured | Only Llama 4 Maverick measured |
| Design Arena: UI components | 897 | 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 index021
| Benchmark | Llama 4 Maverick | Qwen3.5-Flash | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 35.7% | 42.5% | Qwen3.5-Flash |
| MedScribe (Vals AI) | 54.2% | 70.6% | Qwen3.5-Flash |
| IFBench | 43.0% | Not measured | Only Llama 4 Maverick measured |
| Long context reasoning (AA-LCR) | 50.0% | Not measured | Only Llama 4 Maverick measured |
| DTBench | 61.9% | 82.9% | Qwen3.5-Flash |
| LMCA | 15.9% | 29.1% | Qwen3.5-Flash |
| 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 | 1397 | Qwen3.5-Flash |
| LMArena Text: instruction following | 1267 | 1374 | Qwen3.5-Flash |
| LMArena Text: creative writing | 1266 | 1343 | Qwen3.5-Flash |
| LMArena Vision | 1142 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: English | 1303 | 1404 | Qwen3.5-Flash |
| LMArena Text: non-English | 1269 | 1385 | Qwen3.5-Flash |
| LMArena Text: Chinese | 1277 | 1445 | Qwen3.5-Flash |
| LMArena Text: German | 1291 | 1390 | Qwen3.5-Flash |
| LMArena Text: Japanese | 1206 | 1369 | Qwen3.5-Flash |
| LMArena Text: Korean | 1203 | 1344 | Qwen3.5-Flash |
| LMArena Text: French | 1259 | 1413 | Qwen3.5-Flash |
| LMArena Text: Spanish | 1293 | 1400 | Qwen3.5-Flash |
| LMArena Text: Russian | 1286 | 1380 | Qwen3.5-Flash |
| LMArena Text: Polish | 1275 | 1376 | Qwen3.5-Flash |
| LMArena Text: multi-turn | 1289 | 1393 | Qwen3.5-Flash |
| LMArena Text: longer queries | 1280 | 1392 | Qwen3.5-Flash |
| LMArena Text: writing and language | 1277 | 1369 | Qwen3.5-Flash |
| LMArena Text: entertainment and media | 1250 | 1347 | Qwen3.5-Flash |
| 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 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Llama 4 Maverick | Qwen3.5-Flash | 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
Qwen3.5-Flash costs less
Repository review
50K input + 3K output tokens
Qwen3.5-Flash costs less
Agent loop
200K input + 10K output tokens
Qwen3.5-Flash 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 | Qwen3.5-Flash |
|---|---|---|
| Maker | Meta Llama | Qwen |
| Weights | Open weights | No public weights listed |
| Released | April 5, 2025 | February 25, 2026 |
| Context window | 524K | 1M |
| Input $/Mtok | $0.35 | $0.065 |
| Output $/Mtok | $1.00 | $0.26 |
| Coding index | Not benchmarked | 41.1 |
| Independent measurements behind it | 0 | 2 |
| Cost per solved task | $1.491 | $0.40 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Llama 4 Maverick better than Qwen3.5-Flash for coding?
Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; Llama 4 Maverick has none, so the two cannot be ranked on coding. Pick Llama 4 Maverick for work measured by MedCode (Vals AI), where it leads.
Which is cheaper, Llama 4 Maverick or Qwen3.5-Flash?
Llama 4 Maverick costs $0.35 per million input tokens and $1.00 per million output tokens; Qwen3.5-Flash costs $0.065 and $0.26. Per solved SWE-bench Verified task, Llama 4 Maverick costs $1.491 and Qwen3.5-Flash $0.40.
Which has the bigger context window, Llama 4 Maverick or Qwen3.5-Flash?
Qwen3.5-Flash, with 1M tokens against 524K.
How many benchmarks is the Llama 4 Maverick vs Qwen3.5-Flash comparison based on?
44 benchmarks have a result for both models as of October 22, 2026. Llama 4 Maverick's coding index rests on 0 independent benchmarks and Qwen3.5-Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.