Claude Opus 5.5 vs Qwen3.8 Max (0902)
Updated October 21, 2026. 89 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Claude Opus 5.5 for coding: it scores 92.2 on the Vibe Coding Index against 63.5 for Qwen3.8 Max (0902).
Pick Qwen3.8 Max (0902) when output tokens cost 3.3x less, or when what matters is LMArena Search or GPQA Diamond (Epoch AI run), where it leads.
- Shared results
- 89
- Claude Opus 5.5 only
- 18
- Qwen3.8 Max (0902) only
- 24
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
Claude Opus 5.5
Claude Opus 5.5 scores 92.2 against 63.5.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Claude Opus 5.5
Claude Opus 5.5 leads, 57.6 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 Opus 5.5
Claude Opus 5.5 leads, 1335 against 1275.
Same board, both measured
General
Vals Index
No call
Only Claude Opus 5.5 has a Vals Index result, 70.2%.
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 Opus 5.5 $0.014, 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 Opus 5.5 92.2 from 2 benchmarks, Qwen3.8 Max (0902) 63.5 from 2 benchmarks.
- Widest category
- Coding, 21.2 points apart on average over 18 shared benchmarks.
- Widest single gap
- Furniture assembly: Claude Opus 5.5 83.3% against Qwen3.8 Max (0902) 20.0%, 63.3 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 5.5 $20.00 against Qwen3.8 Max (0902) $6.00 per million output tokens, 3.3x 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 Opus 5.5 | Bars | Qwen3.8 Max (0902) | Ties |
|---|---|---|---|---|
| Coding | 18 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 12 | 1 | ||
| Reasoning | 10 | 1 | ||
| Math | 5 | 0 | 1 tie | |
| Knowledge | 6 | 0 | ||
| Web design | 7 | 0 | ||
| General | 24 | 2 | ||
| All shared boards | 84 | 4 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index180
| Benchmark | Claude Opus 5.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| LiveBench coding | 96.3% | 60.3% | Claude Opus 5.5 |
| LMArena WebDev | 1807 | 1674 | Claude Opus 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) | 65.2% | 34.3% | Claude Opus 5.5 |
| Vibe Code Bench (Vals AI) | 90.3% | 64.7% | Claude Opus 5.5 |
| Code migration (Vals AI) | 66.7% | 24.0% | Claude Opus 5.5 |
| ProgramBench (Vals AI) | 18.5% | 0.0% | Claude Opus 5.5 |
| IOI (Vals AI) | 95.1% | 68.9% | Claude Opus 5.5 |
| Terminal-Bench 2.1 (Vals AI) | 87.6% | 67.4% | Claude Opus 5.5 |
| SWE-bench Multimodal (Vals AI) | 70.2% | 42.5% | Claude Opus 5.5 |
| Vibe Code Bench 1-100 (Vals AI) | 30.4% | 12.8% | Claude Opus 5.5 |
| SkillsBench (Vals AI) | Not measured | 42.0% | Only Qwen3.8 Max (0902) measured |
| CyberBench (Vals AI) | 74.6% | 28.6% | Claude Opus 5.5 |
| SciCode | 66.9% | 53.2% | Claude Opus 5.5 |
| FrontierCode | 54.6% | Not measured | Only Claude Opus 5.5 measured |
| FrontierSWE | 62.3% | 17.8% | Claude Opus 5.5 |
| MirrorCode | 77.4% | Not measured | Only Claude Opus 5.5 measured |
| ALE-Bench | 2147.4 | Not measured | Only Claude Opus 5.5 measured |
| LMArena Text: coding | 1545 | 1502 | Claude Opus 5.5 |
| LMArena Text: software and IT | 1538 | 1498 | Claude Opus 5.5 |
| LMArena WebDev: React | 1855 | 1692 | Claude Opus 5.5 |
| LMArena WebDev: HTML | 1753 | 1649 | Claude Opus 5.5 |
| LMArena WebDev: from an image | 1753 | 1637 | Claude Opus 5.5 |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Opus 5.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| AA Intelligence Index | 57.6 | 45.4 | Claude Opus 5.5 |
| Epoch Capabilities Index | 168.8 | 157.4 | Claude Opus 5.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index121
| Benchmark | Claude Opus 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 | 1316 | 1301 | Claude Opus 5.5 |
| Design Arena: agents building full-stack apps | Not measured | 1305 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building mobile apps | 1311 | 1223 | Claude Opus 5.5 |
| Design Arena: agents building Android apps | Not measured | 1207 | 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 | 1257 | Only Qwen3.8 Max (0902) measured |
| Design Arena: spreadsheets | 1359 | 868 | Claude Opus 5.5 |
| LiveBench research | 85.0% | 69.9% | Claude Opus 5.5 |
| LiveBench browser | 80.0% | 32.0% | Claude Opus 5.5 |
| LiveBench long agentic | 85.0% | 42.3% | Claude Opus 5.5 |
| SREBench (Vals AI) | 33.6% | Not measured | Only Claude Opus 5.5 measured |
| Finance Agent (Vals AI) | 58.6% | 50.6% | Claude Opus 5.5 |
| Tax Agent Bench (Vals AI) | 45.6% | 32.1% | Claude Opus 5.5 |
| Legal Research Bench (Vals AI) | 50.5% | 47.6% | Claude Opus 5.5 |
| Harvey's Legal Agent Benchmark (Vals AI) | 9.2% | Not measured | Only Claude Opus 5.5 measured |
| Excel Modeling Benchmark (Vals AI) | 75.9% | 60.1% | Claude Opus 5.5 |
| BioMysteryBench (Vals AI) | 79.3% | Not measured | Only Claude Opus 5.5 measured |
| Terminal-Bench-Science (Vals AI) | 47.1% | 12.9% | Claude Opus 5.5 |
| Vals Science Index | 58.7% | Not measured | Only Claude Opus 5.5 measured |
| Time Horizon Index (Vals AI) | 91.3% | Not measured | Only Claude Opus 5.5 measured |
| CUA-bench (Vals AI) | 14.0% | Not measured | Only Claude Opus 5.5 measured |
| Robo-bench (Vals AI) | 14.6% | Not measured | Only Claude Opus 5.5 measured |
| APEX-Agents | 73.5% | 63.3% | Claude Opus 5.5 |
| Remote Labor Index | 21.3% | Not measured | Only Claude Opus 5.5 measured |
| SpireClimb | 3.3% | Not measured | Only Claude Opus 5.5 measured |
| Vending-Bench 2 | $9,235 | Not measured | Only Claude Opus 5.5 measured |
| LMArena Search | 1213 | 1261 | Qwen3.8 Max (0902) |
| Neither model has a result on the other 11 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index101
| Benchmark | Claude Opus 5.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 93.7% | Only Qwen3.8 Max (0902) measured |
| LiveBench reasoning | 92.2% | 88.2% | Claude Opus 5.5 |
| MysteryMechanism (Vals AI) | 49.5% | 23.9% | Claude Opus 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) | 61.4% | 43.1% | Claude Opus 5.5 |
| GPQA Diamond (Epoch AI run) | 90.6% | 92.7% | Qwen3.8 Max (0902) |
| ARC-AGI | 98.5% | Not measured | Only Claude Opus 5.5 measured |
| ARC-AGI-2 | 93.3% | Not measured | Only Claude Opus 5.5 measured |
| Chess puzzles | 67.0% | 46.0% | Claude Opus 5.5 |
| Mystery game puzzles | 71.0% | 38.0% | Claude Opus 5.5 |
| EBR-bench | 71.4% | Not measured | Only Claude Opus 5.5 measured |
| LMArena Text: hard prompts | 1536 | 1496 | Claude Opus 5.5 |
| LMArena Text: expert | 1549 | 1507 | Claude Opus 5.5 |
| LMArena Text: hard prompts in English | 1535 | 1503 | Claude Opus 5.5 |
| LMArena Vision: diagrams | 1345 | 1323 | Claude Opus 5.5 |
| LMArena Vision: homework | 1362 | 1336 | Claude Opus 5.5 |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Claude Opus 5.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 100.0% | Tie |
| FrontierMath, tiers 1 to 3 | 91.2% | 74.7% | Claude Opus 5.5 |
| FrontierMath, tier 4 | 95.0% | 46.3% | Claude Opus 5.5 |
| ProofBench | 100.0% | 58.0% | Claude Opus 5.5 |
| LMArena Text: math | 1518 | 1501 | Claude Opus 5.5 |
| LMArena Text: mathematical work | 1516 | 1491 | Claude Opus 5.5 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Opus 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) | 49.8% | 40.7% | Claude Opus 5.5 |
| SimpleQA Verified | 72.2% | 47.3% | Claude Opus 5.5 |
| LMArena Text: science | 1524 | 1512 | Claude Opus 5.5 |
| LMArena Text: medicine and healthcare | 1509 | 1503 | Claude Opus 5.5 |
| LMArena Text: legal and government | 1518 | 1492 | Claude Opus 5.5 |
| LMArena Text: business and finance | 1494 | 1480 | Claude Opus 5.5 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Claude Opus 5.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| Design Arena: websites | 1335 | 1275 | Claude Opus 5.5 |
| Design Arena: UI components | 1390 | 1340 | Claude Opus 5.5 |
| Design Arena: game dev | 1457 | 1313 | Claude Opus 5.5 |
| Design Arena: data viz | 1397 | 1281 | Claude Opus 5.5 |
| Design Arena: 3D | 1477 | 1337 | Claude Opus 5.5 |
| Design Arena: all code categories | 1390 | 1293 | Claude Opus 5.5 |
| Design Arena: SVG | 1332 | Not measured | Only Claude Opus 5.5 measured |
| Design Arena: ASCII art | Not measured | 1201 | Only Qwen3.8 Max (0902) measured |
| LiveBench design | 86.9% | 78.6% | Claude Opus 5.5 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index242
| Benchmark | Claude Opus 5.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| Vals Index | 70.2% | Not measured | Only Claude Opus 5.5 measured |
| LiveBench data analysis | 80.3% | 78.4% | Claude Opus 5.5 |
| Public Benefits Bench (Vals AI) | 70.6% | 67.1% | Claude Opus 5.5 |
| SAGE (Vals AI) | 45.8% | 51.2% | Qwen3.8 Max (0902) |
| MedScribe (Vals AI) | 91.4% | 85.0% | Claude Opus 5.5 |
| Vals Multimodal Index | Not measured | 65.4% | Only Qwen3.8 Max (0902) measured |
| Long context reasoning (AA-LCR) | 84.7% | 80.3% | Claude Opus 5.5 |
| DTBench | 98.9% | 92.0% | Claude Opus 5.5 |
| LMCA | 68.2% | 46.2% | Claude Opus 5.5 |
| Furniture assembly | 83.3% | 20.0% | Claude Opus 5.5 |
| LMArena Text | 1516 | 1483 | Claude Opus 5.5 |
| LMArena Text: instruction following | 1537 | 1481 | Claude Opus 5.5 |
| LMArena Text: creative writing | 1535 | 1477 | Claude Opus 5.5 |
| LMArena Vision | 1321 | 1313 | Claude Opus 5.5 |
| LMArena Text: English | 1519 | 1491 | Claude Opus 5.5 |
| LMArena Text: non-English | 1507 | 1473 | Claude Opus 5.5 |
| LMArena Text: Chinese | 1582 | 1539 | Claude Opus 5.5 |
| LMArena Text: German | Not measured | 1478 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Japanese | 1534 | 1473 | Claude Opus 5.5 |
| LMArena Text: Korean | Not measured | 1460 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: French | 1493 | 1498 | Qwen3.8 Max (0902) |
| LMArena Text: Spanish | 1508 | 1489 | Claude Opus 5.5 |
| LMArena Text: Russian | 1517 | 1482 | Claude Opus 5.5 |
| LMArena Text: Polish | Not measured | 1471 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: multi-turn | 1501 | 1489 | Claude Opus 5.5 |
| LMArena Text: longer queries | 1532 | 1488 | Claude Opus 5.5 |
| LMArena Text: writing and language | 1532 | 1477 | Claude Opus 5.5 |
| LMArena Text: entertainment and media | 1515 | 1464 | Claude Opus 5.5 |
| LMArena Vision: English | 1317 | 1311 | Claude Opus 5.5 |
| LMArena Vision: Chinese | Not measured | 1358 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: reading text | 1326 | 1322 | Claude Opus 5.5 |
| LMArena Vision: humor | Not measured | 1304 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: creative writing | 1320 | 1312 | Claude Opus 5.5 |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 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 Opus 5.5 | Qwen3.8 Max (0902) |
|---|---|---|
| Maker | Anthropic | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | September 22, 2026 | September 3, 2026 |
| Context window | 1M | 1M |
| Input $/Mtok | $4.00 | $2.00 |
| Output $/Mtok | $20.00 | $6.00 |
| Coding index | 92.2 | 63.5 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | Not computable | $1.32 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 5.5 better than Qwen3.8 Max (0902) for coding?
Pick Claude Opus 5.5 for coding: it scores 92.2 on the Vibe Coding Index against 63.5 for Qwen3.8 Max (0902). Pick Qwen3.8 Max (0902) when output tokens cost 3.3x less, or when what matters is LMArena Search or GPQA Diamond (Epoch AI run), where it leads.
Which is cheaper, Claude Opus 5.5 or Qwen3.8 Max (0902)?
Claude Opus 5.5 costs $4.00 per million input tokens and $20.00 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 Opus 5.5 or Qwen3.8 Max (0902)?
Neither: both take 1M tokens.
How many benchmarks is the Claude Opus 5.5 vs Qwen3.8 Max (0902) comparison based on?
89 benchmarks have a result for both models as of October 21, 2026. Claude Opus 5.5's coding index rests on 2 independent benchmarks and Qwen3.8 Max (0902)'s on 2. Where only one model has a result, the page says so instead of naming a winner.