Qwen3.6 35B A3B vs Qwen3 Coder 480B A35B
Qwen3.6 35B A3B leads Qwen3 Coder 480B A35B on the Artificial Analysis Intelligence Index, 18.2 to 11.9, and Qwen3.6 35B A3B costs 1.5x less per output token ($1.00 vs $1.50 per million). Updated October 21, 2026; 9 benchmarks have a result for both.
Qwen3.6 35B A3B or Qwen3 Coder 480B A35B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen3.6 35B A3B for output tokens 1.5x cheaper ($1.00 vs $1.50 per million) and work measured by Terminal-Bench or WeirdML, where it leads.
- Shared results
- 9
- Qwen3.6 35B A3B only
- 11
- Qwen3 Coder 480B A35B only
- 43
- Like-for-like categories
- 5 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
Qwen3.6 35B A3B
Qwen3.6 35B A3B leads, 18.2 against 11.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.6 35B A3B has a AA Agentic Index result, 13.1.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3 Coder 480B A35B has a Design Arena: websites result, 1159.
Directional only
Long documents
Listed context window
No call
Both take 262K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.6 35B A3B
Qwen3.6 35B A3B $0.0006, Qwen3 Coder 480B A35B $0.0010 per turn.
List prices
At a glance
- Coding index
- Qwen3.6 35B A3B not benchmarked, Qwen3 Coder 480B A35B not benchmarked.
- Widest category
- Agentic work, 51.8 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Qwen3.6 35B A3B 95.3% against Qwen3 Coder 480B A35B 43.6%, 51.8 points apart on a 0 to 100 scale.
- Output price
- Qwen3.6 35B A3B $1.00 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 1.5x apart.
- Context window
- Both take 262K tokens.
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 | Qwen3.6 35B A3B | Bars | Qwen3 Coder 480B A35B | Ties |
|---|---|---|---|---|
| Coding | 1 | 2 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 2 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 7 | 2 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index12
| Benchmark | Qwen3.6 35B A3B | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 69.6% | Only Qwen3 Coder 480B A35B measured |
| LMArena WebDev | Not measured | 1275 | Only Qwen3 Coder 480B A35B measured |
| AA Coding Index | 41.9 | Not measured | Only Qwen3.6 35B A3B measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 58.5% | Only Qwen3 Coder 480B A35B measured |
| SciCode | 36.6% | Not measured | Only Qwen3.6 35B A3B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 34.8% | 18.9% | Qwen3.6 35B A3B |
| Terminal-Bench | 24.6% | 27.2% | Qwen3 Coder 480B A35B |
| GSO-Bench | Not measured | 4.9% | Only Qwen3 Coder 480B A35B measured |
| WeirdML | 34.5% | 41.2% | Qwen3 Coder 480B A35B |
| ALE-Bench | Not measured | 461.4 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: coding | Not measured | 1412 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: software and IT | Not measured | 1393 | Only Qwen3 Coder 480B A35B measured |
| LMArena WebDev: React | Not measured | 1257 | Only Qwen3 Coder 480B A35B measured |
| LMArena WebDev: HTML | Not measured | 1287 | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Qwen3.6 35B A3B | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| AA Intelligence Index | 18.2 | 11.9 | Qwen3.6 35B A3B |
| Epoch Capabilities Index | 143.7 | Not measured | Only Qwen3.6 35B A3B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Qwen3.6 35B A3B | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| AA Agentic Index | 13.1 | Not measured | Only Qwen3.6 35B A3B measured |
| τ²-Bench Telecom | 95.3% | 43.6% | Qwen3.6 35B A3B |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Qwen3.6 35B A3B | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 84.1% | 61.8% | Qwen3.6 35B A3B |
| Humanity's Last Exam (Artificial Analysis run) | 22.2% | 4.5% | Qwen3.6 35B A3B |
| GPQA Diamond (Epoch AI run) | 84.8% | Not measured | Only Qwen3.6 35B A3B measured |
| Mystery game puzzles | 22.0% | Not measured | Only Qwen3.6 35B A3B measured |
| LMArena Text: hard prompts | Not measured | 1372 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: expert | Not measured | 1338 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: hard prompts in English | Not measured | 1380 | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 14 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Qwen3.6 35B A3B | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 39.3 | Only Qwen3 Coder 480B A35B measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 39.3% | Only Qwen3 Coder 480B A35B measured |
| OTIS Mock AIME | 86.7% | Not measured | Only Qwen3.6 35B A3B measured |
| FrontierMath, tiers 1 to 3 | 20.4% | Not measured | Only Qwen3.6 35B A3B measured |
| LMArena Text: math | Not measured | 1365 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: mathematical work | Not measured | 1367 | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Qwen3.6 35B A3B | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 78.8% | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: science | Not measured | 1347 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: medicine and healthcare | Not measured | 1347 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: legal and government | Not measured | 1358 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: business and finance | Not measured | 1343 | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Qwen3.6 35B A3B | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1159 | Only Qwen3 Coder 480B A35B measured |
| Design Arena: UI components | Not measured | 1113 | Only Qwen3 Coder 480B A35B measured |
| Design Arena: game dev | Not measured | 1099 | Only Qwen3 Coder 480B A35B measured |
| Design Arena: data viz | Not measured | 1084 | Only Qwen3 Coder 480B A35B measured |
| Design Arena: all code categories | Not measured | 1143 | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 4 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Qwen3.6 35B A3B | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| IFBench | 64.4% | 40.5% | Qwen3.6 35B A3B |
| Long context reasoning (AA-LCR) | 71.7% | 45.7% | Qwen3.6 35B A3B |
| DTBench | 73.9% | Not measured | Only Qwen3.6 35B A3B measured |
| LMCA | 29.7% | Not measured | Only Qwen3.6 35B A3B measured |
| Surface Evolver Bench | 44.4% | Not measured | Only Qwen3.6 35B A3B measured |
| LMArena Text | Not measured | 1357 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: instruction following | Not measured | 1355 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: creative writing | Not measured | 1333 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: English | Not measured | 1359 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: non-English | Not measured | 1346 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Chinese | Not measured | 1357 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: German | Not measured | 1325 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Japanese | Not measured | 1311 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Korean | Not measured | 1305 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: French | Not measured | 1398 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Spanish | Not measured | 1360 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Russian | Not measured | 1366 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Polish | Not measured | 1344 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: multi-turn | Not measured | 1366 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: longer queries | Not measured | 1378 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: writing and language | Not measured | 1340 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: entertainment and media | Not measured | 1317 | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.6 35B A3B | Qwen3 Coder 480B A35B | 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
Qwen3.6 35B A3B costs less
Repository review
50K input + 3K output tokens
Qwen3.6 35B A3B costs less
Agent loop
200K input + 10K output tokens
Qwen3.6 35B A3B 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 | Qwen3.6 35B A3B | Qwen3 Coder 480B A35B |
|---|---|---|
| Maker | Qwen | Qwen |
| Weights | Open weights | Open weights |
| Released | April 27, 2026 | July 23, 2025 |
| Context window | 262K | 262K |
| Input $/Mtok | $0.10 | $0.30 |
| Output $/Mtok | $1.00 | $1.50 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.6 35B A3B better than Qwen3 Coder 480B A35B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3.6 35B A3B for output tokens 1.5x cheaper ($1.00 vs $1.50 per million) and work measured by Terminal-Bench or WeirdML, where it leads.
Which is cheaper, Qwen3.6 35B A3B or Qwen3 Coder 480B A35B?
Qwen3.6 35B A3B costs $0.10 per million input tokens and $1.00 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3.6 35B A3B or Qwen3 Coder 480B A35B?
Neither: both take 262K tokens.
How many benchmarks is the Qwen3.6 35B A3B vs Qwen3 Coder 480B A35B comparison based on?
9 benchmarks have a result for both models as of October 21, 2026. Qwen3.6 35B A3B's coding index rests on 0 independent benchmarks and Qwen3 Coder 480B A35B's on 1. Where only one model has a result, the page says so instead of naming a winner.