Claude Sonnet 5.5 vs Qwen3.8 Max (0902)
Claude Sonnet 5.5 leads Qwen3.8 Max (0902) on coding, 87.3 to 62.4 on the Vibe Coding Index, and Qwen3.8 Max (0902) costs 1.7x less per output token ($6.00 vs $10.00 per million). Updated October 22, 2026; 86 benchmarks have a result for both.
Claude Sonnet 5.5 or Qwen3.8 Max (0902): which to pick
Pick Claude Sonnet 5.5 for coding: it scores 87.3 on the Vibe Coding Index against 62.4 for Qwen3.8 Max (0902).
Pick Qwen3.8 Max (0902) for output tokens 1.7x cheaper ($6.00 vs $10.00 per million) and work measured by LMArena Text: hard prompts or LMArena Text: hard prompts in English, where it leads.
- Shared results
- 86
- Claude Sonnet 5.5 only
- 12
- Qwen3.8 Max (0902) only
- 28
- 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
Claude Sonnet 5.5
Claude Sonnet 5.5 scores 87.3 against 62.4.
5 benchmarks behind each score
Intelligence
AA Intelligence Index
Claude Sonnet 5.5
Claude Sonnet 5.5 leads, 56.0 against 45.4.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.8 Max (0902) has a AA Agentic Index result, 56.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Qwen3.8 Max (0902) has a GPQA Diamond result, 93.7%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.8 Max (0902) has a MMLU Pro result, 88.6%.
Directional only
Web design
Design Arena: websites
Claude Sonnet 5.5
Claude Sonnet 5.5 leads, 1327 against 1275.
Same board, both measured
General
Vals Index
No call
Only Claude Sonnet 5.5 has a Vals Index result, 70.8%.
Directional only
Long documents
Listed context window
No call
Both take 1M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.8 Max (0902)
Claude Sonnet 5.5 $0.0070, Qwen3.8 Max (0902) $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.8 Max (0902) has the number, $1.32.
Directional only
At a glance
- Coding index
- Claude Sonnet 5.5 87.3 from 5 benchmarks, Qwen3.8 Max (0902) 62.4 from 5 benchmarks.
- Widest category
- Agentic work, 18.5 points apart on average over 12 shared benchmarks.
- Widest single gap
- Furniture assembly: Claude Sonnet 5.5 75.0% against Qwen3.8 Max (0902) 20.0%, 55.0 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 5.5 $10.00 against Qwen3.8 Max (0902) $6.00 per million output tokens, 1.7x apart.
- Context window
- Both take 1M 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 | Claude Sonnet 5.5 | Bars | Qwen3.8 Max (0902) | Ties |
|---|---|---|---|---|
| Coding | 17 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 12 | 0 | ||
| Reasoning | 8 | 3 | ||
| Math | 4 | 1 | 1 tie | |
| Knowledge | 1 | 5 | ||
| Web design | 7 | 0 | ||
| General | 10 | 15 | ||
| All shared boards | 61 | 24 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index170
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| LiveBench coding | 94.7% | 60.3% | Claude Sonnet 5.5 |
| LMArena WebDev | 1768 | 1674 | Claude Sonnet 5.5 |
| AA Coding Index | Not measured | 76.2 | Only Qwen3.8 Max (0902) measured |
| LiveCodeBench (Vals AI) | Not measured | 87.8% | Only Qwen3.8 Max (0902) measured |
| SWE-bench Verified (Vals AI) | Not measured | 85.6% | Only Qwen3.8 Max (0902) measured |
| Terminal-Bench 4 (Vals AI) | 64.1% | 34.3% | Claude Sonnet 5.5 |
| Vibe Code Bench (Vals AI) | 92.4% | 64.7% | Claude Sonnet 5.5 |
| Code migration (Vals AI) | 69.8% | 24.0% | Claude Sonnet 5.5 |
| ProgramBench (Vals AI) | 6.5% | 0.0% | Claude Sonnet 5.5 |
| IOI (Vals AI) | 83.1% | 68.9% | Claude Sonnet 5.5 |
| Terminal-Bench 2.1 (Vals AI) | 83.2% | 67.4% | Claude Sonnet 5.5 |
| SWE-bench Multimodal (Vals AI) | 58.3% | 42.5% | Claude Sonnet 5.5 |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 12.8% | Only Qwen3.8 Max (0902) measured |
| SkillsBench (Vals AI) | Not measured | 42.0% | Only Qwen3.8 Max (0902) measured |
| CyberBench (Vals AI) | 59.6% | 28.6% | Claude Sonnet 5.5 |
| SciCode | 61.0% | 53.2% | Claude Sonnet 5.5 |
| FrontierCode | 52.1% | Not measured | Only Claude Sonnet 5.5 measured |
| FrontierSWE | 61.9% | 17.8% | Claude Sonnet 5.5 |
| ALE-Bench | 1819.1 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: coding | 1513 | 1502 | Claude Sonnet 5.5 |
| LMArena Text: software and IT | 1504 | 1498 | Claude Sonnet 5.5 |
| LMArena WebDev: React | 1817 | 1692 | Claude Sonnet 5.5 |
| LMArena WebDev: HTML | 1741 | 1649 | Claude Sonnet 5.5 |
| LMArena WebDev: from an image | 1737 | 1637 | Claude Sonnet 5.5 |
| 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 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| AA Intelligence Index | 56.0 | 45.4 | Claude Sonnet 5.5 |
| Epoch Capabilities Index | 166.2 | 157.4 | Claude Sonnet 5.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index120
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 56.0 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building web apps | 1305 | 1300 | Claude Sonnet 5.5 |
| Design Arena: agents building full-stack apps | Not measured | 1305 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building mobile apps | 1260 | 1224 | Claude Sonnet 5.5 |
| Design Arena: agents building Android apps | Not measured | 1190 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building Godot games | Not measured | 1234 | Only Qwen3.8 Max (0902) measured |
| Design Arena: PowerPoint slides | Not measured | 1232 | Only Qwen3.8 Max (0902) measured |
| Design Arena: spreadsheets | 1271 | 993 | Claude Sonnet 5.5 |
| LiveBench research | 83.6% | 69.9% | Claude Sonnet 5.5 |
| LiveBench browser | 84.0% | 32.0% | Claude Sonnet 5.5 |
| LiveBench long agentic | 78.8% | 42.3% | Claude Sonnet 5.5 |
| SREBench (Vals AI) | 30.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Finance Agent (Vals AI) | 58.1% | 50.6% | Claude Sonnet 5.5 |
| Tax Agent Bench (Vals AI) | 42.0% | 32.1% | Claude Sonnet 5.5 |
| Legal Research Bench (Vals AI) | 48.1% | 47.6% | Claude Sonnet 5.5 |
| Harvey's Legal Agent Benchmark (Vals AI) | 10.4% | Not measured | Only Claude Sonnet 5.5 measured |
| Excel Modeling Benchmark (Vals AI) | 75.7% | 60.1% | Claude Sonnet 5.5 |
| BioMysteryBench (Vals AI) | 81.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Terminal-Bench-Science (Vals AI) | 47.1% | 12.9% | Claude Sonnet 5.5 |
| Vals Science Index | 59.1% | Not measured | Only Claude Sonnet 5.5 measured |
| APEX-Agents | 75.5% | 63.3% | Claude Sonnet 5.5 |
| SpireClimb | 1.3% | Not measured | Only Claude Sonnet 5.5 measured |
| Vending-Bench 2 | $11,165 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Search | Not measured | 1261 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index83
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 93.7% | Only Qwen3.8 Max (0902) measured |
| LiveBench reasoning | 91.6% | 88.2% | Claude Sonnet 5.5 |
| MysteryMechanism (Vals AI) | 49.1% | 23.9% | Claude Sonnet 5.5 |
| MMMU Pro (Vals AI) | Not measured | 88.0% | Only Qwen3.8 Max (0902) measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 92.8% | Only Qwen3.8 Max (0902) measured |
| Humanity's Last Exam (Artificial Analysis run) | 55.0% | 43.1% | Claude Sonnet 5.5 |
| GPQA Diamond (Epoch AI run) | 95.6% | 92.7% | Claude Sonnet 5.5 |
| Chess puzzles | 59.0% | 46.0% | Claude Sonnet 5.5 |
| Mystery game puzzles | 65.0% | 38.0% | Claude Sonnet 5.5 |
| LMArena Text: hard prompts | 1494 | 1496 | Qwen3.8 Max (0902) |
| LMArena Text: expert | 1531 | 1507 | Claude Sonnet 5.5 |
| LMArena Text: hard prompts in English | 1502 | 1503 | Qwen3.8 Max (0902) |
| LMArena Vision: diagrams | 1329 | 1323 | Claude Sonnet 5.5 |
| LMArena Vision: homework | 1331 | 1336 | Qwen3.8 Max (0902) |
| Humanity's Last Exam (Scale run) | 37.5% | Not measured | Only Claude Sonnet 5.5 measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 100.0% | Tie |
| FrontierMath, tiers 1 to 3 | 88.8% | 74.7% | Claude Sonnet 5.5 |
| FrontierMath, tier 4 | 80.5% | 46.3% | Claude Sonnet 5.5 |
| ProofBench | 100.0% | 58.0% | Claude Sonnet 5.5 |
| LMArena Text: math | 1497 | 1501 | Qwen3.8 Max (0902) |
| LMArena Text: mathematical work | 1510 | 1491 | Claude Sonnet 5.5 |
| MathArena | Not measured | 51.6% | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 88.6% | Only Qwen3.8 Max (0902) measured |
| LegalBench (Vals AI) | Not measured | 83.6% | Only Qwen3.8 Max (0902) measured |
| CorpFin (Vals AI) | Not measured | 65.8% | Only Qwen3.8 Max (0902) measured |
| TaxEval (Vals AI) | Not measured | 75.5% | Only Qwen3.8 Max (0902) measured |
| MortgageTax (Vals AI) | Not measured | 64.0% | Only Qwen3.8 Max (0902) measured |
| MedCode (Vals AI) | 52.9% | 40.7% | Claude Sonnet 5.5 |
| SimpleQA Verified | 46.5% | 47.3% | Qwen3.8 Max (0902) |
| LMArena Text: science | 1483 | 1512 | Qwen3.8 Max (0902) |
| LMArena Text: medicine and healthcare | 1464 | 1503 | Qwen3.8 Max (0902) |
| LMArena Text: legal and government | 1483 | 1492 | Qwen3.8 Max (0902) |
| LMArena Text: business and finance | 1468 | 1480 | Qwen3.8 Max (0902) |
| Neither model has a result on the other 9 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| Design Arena: websites | 1327 | 1275 | Claude Sonnet 5.5 |
| Design Arena: UI components | 1369 | 1336 | Claude Sonnet 5.5 |
| Design Arena: game dev | 1472 | 1312 | Claude Sonnet 5.5 |
| Design Arena: data viz | 1382 | 1282 | Claude Sonnet 5.5 |
| Design Arena: 3D | 1442 | 1336 | Claude Sonnet 5.5 |
| Design Arena: all code categories | 1365 | 1292 | Claude Sonnet 5.5 |
| Design Arena: ASCII art | Not measured | 1200 | Only Qwen3.8 Max (0902) measured |
| LiveBench design | 85.0% | 78.6% | Claude Sonnet 5.5 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index1015
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| Vals Index | 70.8% | Not measured | Only Claude Sonnet 5.5 measured |
| LiveBench data analysis | 59.5% | 78.4% | Qwen3.8 Max (0902) |
| Public Benefits Bench (Vals AI) | 67.2% | 67.1% | Claude Sonnet 5.5 |
| SAGE (Vals AI) | 51.8% | 51.2% | Claude Sonnet 5.5 |
| MedScribe (Vals AI) | 91.1% | 85.0% | Claude Sonnet 5.5 |
| Vals Multimodal Index | Not measured | 65.4% | Only Qwen3.8 Max (0902) measured |
| Long context reasoning (AA-LCR) | 82.7% | 80.3% | Claude Sonnet 5.5 |
| DTBench | 97.3% | 92.0% | Claude Sonnet 5.5 |
| LMCA | 68.3% | 46.2% | Claude Sonnet 5.5 |
| Furniture assembly | 75.0% | 20.0% | Claude Sonnet 5.5 |
| LMArena Text | 1473 | 1483 | Qwen3.8 Max (0902) |
| LMArena Text: instruction following | 1492 | 1481 | Claude Sonnet 5.5 |
| LMArena Text: creative writing | 1467 | 1477 | Qwen3.8 Max (0902) |
| LMArena Vision | 1287 | 1313 | Qwen3.8 Max (0902) |
| LMArena Text: English | 1484 | 1491 | Qwen3.8 Max (0902) |
| LMArena Text: non-English | 1456 | 1473 | Qwen3.8 Max (0902) |
| LMArena Text: Chinese | 1535 | 1539 | Qwen3.8 Max (0902) |
| LMArena Text: German | Not measured | 1478 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Japanese | Not measured | 1473 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Korean | Not measured | 1460 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: French | 1499 | 1498 | Claude Sonnet 5.5 |
| LMArena Text: Spanish | 1451 | 1489 | Qwen3.8 Max (0902) |
| LMArena Text: Russian | 1454 | 1482 | Qwen3.8 Max (0902) |
| LMArena Text: Polish | Not measured | 1471 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: multi-turn | 1465 | 1489 | Qwen3.8 Max (0902) |
| LMArena Text: longer queries | 1495 | 1488 | Claude Sonnet 5.5 |
| LMArena Text: writing and language | 1474 | 1477 | Qwen3.8 Max (0902) |
| LMArena Text: entertainment and media | 1461 | 1464 | Qwen3.8 Max (0902) |
| LMArena Vision: English | 1289 | 1311 | Qwen3.8 Max (0902) |
| LMArena Vision: Chinese | Not measured | 1358 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: reading text | 1297 | 1322 | Qwen3.8 Max (0902) |
| LMArena Vision: humor | Not measured | 1304 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: creative writing | 1242 | 1312 | Qwen3.8 Max (0902) |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 Max (0902) | 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
Qwen3.8 Max (0902) costs less
Repository review
50K input + 3K output tokens
Qwen3.8 Max (0902) costs less
Agent loop
200K input + 10K output tokens
Qwen3.8 Max (0902) 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 | Qwen3.8 Max (0902) |
|---|---|---|
| Maker | Anthropic | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | September 28, 2026 | September 3, 2026 |
| Context window | 1M | 1M |
| Input $/Mtok | $2.00 | $2.00 |
| Output $/Mtok | $10.00 | $6.00 |
| Coding index | 87.3 | 62.4 |
| Independent measurements behind it | 5 | 5 |
| Cost per solved task | Not computable | $1.32 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 5.5 better than Qwen3.8 Max (0902) for coding?
Pick Claude Sonnet 5.5 for coding: it scores 87.3 on the Vibe Coding Index against 62.4 for Qwen3.8 Max (0902). Pick Qwen3.8 Max (0902) for output tokens 1.7x cheaper ($6.00 vs $10.00 per million) and work measured by LMArena Text: hard prompts or LMArena Text: hard prompts in English, where it leads.
Which is cheaper, Claude Sonnet 5.5 or Qwen3.8 Max (0902)?
Claude Sonnet 5.5 costs $2.00 per million input tokens and $10.00 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Cost per solved task is known for Qwen3.8 Max (0902) only.
Which has the bigger context window, Claude Sonnet 5.5 or Qwen3.8 Max (0902)?
Neither: both take 1M tokens.
How many benchmarks is the Claude Sonnet 5.5 vs Qwen3.8 Max (0902) comparison based on?
86 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 Qwen3.8 Max (0902)'s on 5. Where only one model has a result, the page says so instead of naming a winner.