Claude Sonnet 5.5 vs Qwen3.5-35B-A3B
Claude Sonnet 5.5 leads Qwen3.5-35B-A3B on the Artificial Analysis Intelligence Index, 56.0 to 19.3, and Qwen3.5-35B-A3B costs 7.7x less per output token ($1.30 vs $10.00 per million). Updated October 22, 2026; 37 benchmarks have a result for both.
vs boards won of 37 shared
Claude Sonnet 5.5 or Qwen3.5-35B-A3B: which to pick
Only Claude Sonnet 5.5 has a coding score, 87.3 on the Vibe Coding Index; Qwen3.5-35B-A3B has none, so the two cannot be ranked on coding.
Pick Qwen3.5-35B-A3B for output tokens 7.7x cheaper ($1.30 vs $10.00 per million).
Model AClaude Sonnet 5.5Anthropic87.3/1005 independent benchmarksNo cost per solved taskModel BQwen3.5-35B-A3BQwenNot benchmarked1 independent benchmarkNo cost per solved task
- Shared results
- 37
- Claude Sonnet 5.5 only
- 61
- Qwen3.5-35B-A3B only
- 9
- 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
Only Claude Sonnet 5.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Claude Sonnet 5.5
Claude Sonnet 5.5 leads, 56.0 against 19.3.
Same board, both measured
Web design
Design Arena: websites
No call
Only Claude Sonnet 5.5 has a Design Arena: websites result, 1327.
Directional only
General
Vals Index
No call
Only Claude Sonnet 5.5 has a Vals Index result, 70.8%.
Directional only
Long documents
Listed context window
Claude Sonnet 5.5
Claude Sonnet 5.5 takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5-35B-A3B
Claude Sonnet 5.5 $0.0070, Qwen3.5-35B-A3B $0.0008 per turn.
List prices
At a glance
- Coding index
- Claude Sonnet 5.5 87.3 from 5 benchmarks, Qwen3.5-35B-A3B not benchmarked.
- Widest category
- Agentic work, 66.9 points apart on average over 1 shared benchmark.
- Widest single gap
- LMArena WebDev: Claude Sonnet 5.5 1768 against Qwen3.5-35B-A3B 1254, 73.5 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 5.5 $10.00 against Qwen3.5-35B-A3B $1.30 per million output tokens, 7.7x apart.
- Context window
- Claude Sonnet 5.5 takes 1M tokens, Qwen3.5-35B-A3B 262K.
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 | Claude Sonnet 5.5 | Bars | Qwen3.5-35B-A3B | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 16 | 0 | ||
| All shared boards | 37 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
| Benchmark | Claude Sonnet 5.5 | Qwen3.5-35B-A3B | Leader |
|---|---|---|---|
| LiveBench coding | 94.7% | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena WebDev | 1768 | 1254 | Claude Sonnet 5.5 |
| Terminal-Bench 4 (Vals AI) | 64.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Vibe Code Bench (Vals AI) | 92.4% | Not measured | Only Claude Sonnet 5.5 measured |
| Code migration (Vals AI) | 69.8% | Not measured | Only Claude Sonnet 5.5 measured |
| ProgramBench (Vals AI) | 6.5% | Not measured | Only Claude Sonnet 5.5 measured |
| IOI (Vals AI) | 83.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Terminal-Bench 2.1 (Vals AI) | 83.2% | Not measured | Only Claude Sonnet 5.5 measured |
| SWE-bench Multimodal (Vals AI) | 58.3% | Not measured | Only Claude Sonnet 5.5 measured |
| CyberBench (Vals AI) | 59.6% | Not measured | Only Claude Sonnet 5.5 measured |
| SciCode | 61.0% | Not measured | Only Claude Sonnet 5.5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 26.5% | Only Qwen3.5-35B-A3B measured |
| FrontierCode | 52.1% | Not measured | Only Claude Sonnet 5.5 measured |
| FrontierSWE | 61.9% | Not measured | Only Claude Sonnet 5.5 measured |
| ALE-Bench | 1819.1 | 221.8 | Claude Sonnet 5.5 |
| LMArena Text: coding | 1513 | 1410 | Claude Sonnet 5.5 |
| LMArena Text: software and IT | 1504 | 1415 | Claude Sonnet 5.5 |
| LMArena WebDev: React | 1817 | 1238 | Claude Sonnet 5.5 |
| LMArena WebDev: HTML | 1741 | 1301 | Claude Sonnet 5.5 |
| LMArena WebDev: from an image | 1737 | Not measured | Only Claude Sonnet 5.5 measured |
| SciCode | 13.8% | Not measured | Only Claude Sonnet 5.5 measured |
| SWE-Bench Pro V2 | 95.8% | Not measured | Only Claude Sonnet 5.5 measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Sonnet 5.5 | Qwen3.5-35B-A3B | Leader |
|---|---|---|---|
| AA Intelligence Index | 56.0 | 19.3 | Claude Sonnet 5.5 |
| Epoch Capabilities Index | 166.2 | 142.5 | Claude Sonnet 5.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Sonnet 5.5 | Qwen3.5-35B-A3B | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1305 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: agents building mobile apps | 1260 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: spreadsheets | 1271 | Not measured | Only Claude Sonnet 5.5 measured |
| LiveBench research | 83.6% | Not measured | Only Claude Sonnet 5.5 measured |
| LiveBench browser | 84.0% | Not measured | Only Claude Sonnet 5.5 measured |
| LiveBench long agentic | 78.8% | Not measured | Only Claude Sonnet 5.5 measured |
| SREBench (Vals AI) | 30.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Finance Agent (Vals AI) | 58.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Tax Agent Bench (Vals AI) | 42.0% | Not measured | Only Claude Sonnet 5.5 measured |
| Legal Research Bench (Vals AI) | 48.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 10.4% | Not measured | Only Claude Sonnet 5.5 measured |
| Excel Modeling Benchmark (Vals AI) | 75.7% | Not measured | Only Claude Sonnet 5.5 measured |
| BioMysteryBench (Vals AI) | 81.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Terminal-Bench-Science (Vals AI) | 47.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Vals Science Index | 59.1% | Not measured | Only Claude Sonnet 5.5 measured |
| τ²-Bench Telecom | Not measured | 89.2% | Only Qwen3.5-35B-A3B measured |
| APEX-Agents | 75.5% | Not measured | Only Claude Sonnet 5.5 measured |
| SpireClimb | 1.3% | Not measured | Only Claude Sonnet 5.5 measured |
| Vending-Bench 2 | $11,165 | $463 | Claude Sonnet 5.5 |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Claude Sonnet 5.5 | Qwen3.5-35B-A3B | Leader |
|---|---|---|---|
| LiveBench reasoning | 91.6% | Not measured | Only Claude Sonnet 5.5 measured |
| MysteryMechanism (Vals AI) | 49.1% | Not measured | Only Claude Sonnet 5.5 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 84.5% | Only Qwen3.5-35B-A3B measured |
| Humanity's Last Exam (Artificial Analysis run) | 55.0% | 21.0% | Claude Sonnet 5.5 |
| GPQA Diamond (Epoch AI run) | 95.6% | 83.5% | Claude Sonnet 5.5 |
| Chess puzzles | 59.0% | Not measured | Only Claude Sonnet 5.5 measured |
| Mystery game puzzles | 65.0% | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: hard prompts | 1494 | 1400 | Claude Sonnet 5.5 |
| LMArena Text: expert | 1531 | 1408 | Claude Sonnet 5.5 |
| LMArena Text: hard prompts in English | 1502 | 1411 | Claude Sonnet 5.5 |
| LMArena Vision: diagrams | 1329 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Vision: homework | 1331 | Not measured | Only Claude Sonnet 5.5 measured |
| Humanity's Last Exam (Scale run) | 37.5% | Not measured | Only Claude Sonnet 5.5 measured |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Claude Sonnet 5.5 | Qwen3.5-35B-A3B | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 70.0% | Claude Sonnet 5.5 |
| FrontierMath, tiers 1 to 3 | 88.8% | Not measured | Only Claude Sonnet 5.5 measured |
| FrontierMath, tier 4 | 80.5% | Not measured | Only Claude Sonnet 5.5 measured |
| ProofBench | 100.0% | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: math | 1497 | 1404 | Claude Sonnet 5.5 |
| LMArena Text: mathematical work | 1510 | 1410 | Claude Sonnet 5.5 |
| MathArena | Not measured | 14.7% | Only Qwen3.5-35B-A3B measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Sonnet 5.5 | Qwen3.5-35B-A3B | Leader |
|---|---|---|---|
| MedCode (Vals AI) | 52.9% | Not measured | Only Claude Sonnet 5.5 measured |
| SimpleQA Verified | 46.5% | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: science | 1483 | 1413 | Claude Sonnet 5.5 |
| LMArena Text: medicine and healthcare | 1464 | 1421 | Claude Sonnet 5.5 |
| LMArena Text: legal and government | 1483 | 1399 | Claude Sonnet 5.5 |
| LMArena Text: business and finance | 1468 | 1394 | Claude Sonnet 5.5 |
| Neither model has a result on the other 14 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Claude Sonnet 5.5 | Qwen3.5-35B-A3B | Leader |
|---|---|---|---|
| Design Arena: websites | 1327 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: UI components | 1369 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: game dev | 1472 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: data viz | 1382 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: 3D | 1442 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: all code categories | 1365 | Not measured | Only Claude Sonnet 5.5 measured |
| LiveBench design | 85.0% | Not measured | Only Claude Sonnet 5.5 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index160
| Benchmark | Claude Sonnet 5.5 | Qwen3.5-35B-A3B | Leader |
|---|---|---|---|
| Vals Index | 70.8% | Not measured | Only Claude Sonnet 5.5 measured |
| LiveBench data analysis | 59.5% | Not measured | Only Claude Sonnet 5.5 measured |
| Public Benefits Bench (Vals AI) | 67.2% | Not measured | Only Claude Sonnet 5.5 measured |
| SAGE (Vals AI) | 51.8% | Not measured | Only Claude Sonnet 5.5 measured |
| MedScribe (Vals AI) | 91.1% | Not measured | Only Claude Sonnet 5.5 measured |
| IFBench | Not measured | 72.5% | Only Qwen3.5-35B-A3B measured |
| Long context reasoning (AA-LCR) | 82.7% | 72.0% | Claude Sonnet 5.5 |
| DTBench | 97.3% | 80.0% | Claude Sonnet 5.5 |
| LMCA | 68.3% | 29.5% | Claude Sonnet 5.5 |
| Furniture assembly | 75.0% | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text | 1473 | 1395 | Claude Sonnet 5.5 |
| LMArena Text: instruction following | 1492 | 1379 | Claude Sonnet 5.5 |
| LMArena Text: creative writing | 1467 | 1347 | Claude Sonnet 5.5 |
| LMArena Vision | 1287 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: English | 1484 | 1407 | Claude Sonnet 5.5 |
| LMArena Text: non-English | 1456 | 1378 | Claude Sonnet 5.5 |
| LMArena Text: Chinese | 1535 | 1457 | Claude Sonnet 5.5 |
| LMArena Text: German | Not measured | 1367 | Only Qwen3.5-35B-A3B measured |
| LMArena Text: Japanese | Not measured | 1326 | Only Qwen3.5-35B-A3B measured |
| LMArena Text: Korean | Not measured | 1355 | Only Qwen3.5-35B-A3B measured |
| LMArena Text: French | 1499 | 1412 | Claude Sonnet 5.5 |
| LMArena Text: Spanish | 1451 | 1390 | Claude Sonnet 5.5 |
| LMArena Text: Russian | 1454 | 1376 | Claude Sonnet 5.5 |
| LMArena Text: Polish | Not measured | 1385 | Only Qwen3.5-35B-A3B measured |
| LMArena Text: multi-turn | 1465 | 1390 | Claude Sonnet 5.5 |
| LMArena Text: longer queries | 1495 | 1389 | Claude Sonnet 5.5 |
| LMArena Text: writing and language | 1474 | 1365 | Claude Sonnet 5.5 |
| LMArena Text: entertainment and media | 1461 | 1347 | Claude Sonnet 5.5 |
| LMArena Vision: English | 1289 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Vision: reading text | 1297 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Vision: creative writing | 1242 | Not measured | Only Claude Sonnet 5.5 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 | Claude Sonnet 5.5 | Qwen3.5-35B-A3B | 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
Claude Sonnet 5.5$0.0070Fits in one request
Qwen3.5-35B-A3B$0.0008Fits in one request
Qwen3.5-35B-A3B costs less
Repository review
50K input + 3K output tokens
Claude Sonnet 5.5$0.130Fits in one request
Qwen3.5-35B-A3B$0.012Fits in one request
Qwen3.5-35B-A3B costs less
Agent loop
200K input + 10K output tokens
Claude Sonnet 5.5$0.500Fits in one request
Qwen3.5-35B-A3B$0.045Fits in one request
Qwen3.5-35B-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 | Anthropic Claude Sonnet 5.5 | Qwen3.5-35B-A3B |
|---|---|---|
| Maker | Anthropic | Qwen |
| Weights | No public weights listed | Open weights |
| Released | September 28, 2026 | February 25, 2026 |
| Context window | 1M | 262K |
| Input $/Mtok | $2.00 | $0.1625 |
| Output $/Mtok | $10.00 | $1.30 |
| Coding index | 87.3 | Not benchmarked |
| Independent measurements behind it | 5 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 5.5 better than Qwen3.5-35B-A3B for coding?
Only Claude Sonnet 5.5 has a coding score, 87.3 on the Vibe Coding Index; Qwen3.5-35B-A3B has none, so the two cannot be ranked on coding. Pick Qwen3.5-35B-A3B for output tokens 7.7x cheaper ($1.30 vs $10.00 per million).
Which is cheaper, Claude Sonnet 5.5 or Qwen3.5-35B-A3B?
Claude Sonnet 5.5 costs $2.00 per million input tokens and $10.00 per million output tokens; Qwen3.5-35B-A3B costs $0.1625 and $1.30. Cost per solved task is known for neither of them.
Which has the bigger context window, Claude Sonnet 5.5 or Qwen3.5-35B-A3B?
Claude Sonnet 5.5, with 1M tokens against 262K.
How many benchmarks is the Claude Sonnet 5.5 vs Qwen3.5-35B-A3B comparison based on?
37 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 5.5's coding index rests on 5 independent benchmarks and Qwen3.5-35B-A3B's on 1. Where only one model has a result, the page says so instead of naming a winner.