Claude Opus 4.5 vs Qwen3.8 Max (0902)
Updated October 21, 2026. 71 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
vs boards won of 71 shared
Decision reading
Pick Claude Opus 4.5 for coding: it scores 66.8 on the Vibe Coding Index against 63.5 for Qwen3.8 Max (0902).
Pick Qwen3.8 Max (0902) when output tokens cost 4.2x less, or when a solved task costs $1.32 against $1.37.
Model AClaude Opus 4.5Anthropic66.8/1002 independent benchmarks$1.37 per solved taskModel BQwen3.8 Max (0902)Qwen63.5/1002 independent benchmarks$1.32 per solved task
- Shared results
- 71
- Claude Opus 4.5 only
- 34
- Qwen3.8 Max (0902) only
- 42
- 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 4.5
Claude Opus 4.5 scores 66.8 against 63.5.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 45.4 against 29.1.
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
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 93.7% against 85.9%.
Same board, both measured
Math
AIME
No call
Only Claude Opus 4.5 has a AIME result, 95.4%.
Directional only
Knowledge
MMLU Pro
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 88.6% against 87.3%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 1275 against 1247.
Same board, both measured
Long documents
Listed context window
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) takes 1M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.8 Max (0902)
Claude Opus 4.5 $0.018, Qwen3.8 Max (0902) $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Qwen3.8 Max (0902)
Claude Opus 4.5 $1.37, Qwen3.8 Max (0902) $1.32.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Opus 4.5 66.8 from 2 benchmarks, Qwen3.8 Max (0902) 63.5 from 2 benchmarks.
- Widest category
- Math, 21.3 points apart on average over 6 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Claude Opus 4.5 20.6% against Qwen3.8 Max (0902) 64.7%, 44.1 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.5 $25.00 against Qwen3.8 Max (0902) $6.00 per million output tokens, 4.2x apart.
- Context window
- Claude Opus 4.5 takes 200K tokens, Qwen3.8 Max (0902) 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 | Claude Opus 4.5 | Bars | Qwen3.8 Max (0902) | Ties |
|---|---|---|---|---|
| Coding | 1 | 7 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 4 | ||
| Reasoning | 0 | 10 | ||
| Math | 0 | 6 | ||
| Knowledge | 3 | 8 | ||
| Web design | 0 | 7 | ||
| General | 3 | 20 | ||
| All shared boards | 7 | 64 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index17
| Benchmark | Claude Opus 4.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| SWE-bench Verified | 79.2% | Not measured | Only Claude Opus 4.5 measured |
| SWE-bench (full test set) | 52.6% | Not measured | Only Claude Opus 4.5 measured |
| SWE-bench Multilingual | 70.7% | Not measured | Only Claude Opus 4.5 measured |
| LiveBench coding | Not measured | 60.3% | Only Qwen3.8 Max (0902) measured |
| LMArena WebDev | 1494 | 1674 | Qwen3.8 Max (0902) |
| AA Coding Index | Not measured | 76.2 | Only Qwen3.8 Max (0902) measured |
| LiveCodeBench (Vals AI) | 83.7% | 87.8% | Qwen3.8 Max (0902) |
| SWE-bench Verified (Vals AI) | 76.4% | 85.6% | Qwen3.8 Max (0902) |
| Terminal-Bench 4 (Vals AI) | Not measured | 34.3% | Only Qwen3.8 Max (0902) measured |
| Vibe Code Bench (Vals AI) | 20.6% | 64.7% | Qwen3.8 Max (0902) |
| Code migration (Vals AI) | Not measured | 24.0% | Only Qwen3.8 Max (0902) measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Qwen3.8 Max (0902) measured |
| IOI (Vals AI) | Not measured | 68.9% | Only Qwen3.8 Max (0902) measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 67.4% | Only Qwen3.8 Max (0902) measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 42.5% | Only Qwen3.8 Max (0902) measured |
| 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) | Not measured | 28.6% | Only Qwen3.8 Max (0902) measured |
| LiveCodeBench (Artificial Analysis run) | 87.1% | Not measured | Only Claude Opus 4.5 measured |
| SciCode | Not measured | 53.2% | Only Qwen3.8 Max (0902) measured |
| Terminal-Bench Hard (Artificial Analysis run) | 47.0% | Not measured | Only Claude Opus 4.5 measured |
| Terminal-Bench | 63.1% | Not measured | Only Claude Opus 4.5 measured |
| FrontierSWE | Not measured | 17.8% | Only Qwen3.8 Max (0902) measured |
| GSO-Bench | 26.5% | Not measured | Only Claude Opus 4.5 measured |
| WeirdML | 63.7% | Not measured | Only Claude Opus 4.5 measured |
| Cybench | 82.0% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: coding | 1503 | 1502 | Claude Opus 4.5 |
| LMArena Text: software and IT | 1483 | 1498 | Qwen3.8 Max (0902) |
| LMArena WebDev: React | 1478 | 1692 | Qwen3.8 Max (0902) |
| LMArena WebDev: HTML | 1510 | 1649 | Qwen3.8 Max (0902) |
| LMArena WebDev: from an image | Not measured | 1637 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 7 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Opus 4.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.1 | 45.4 | Qwen3.8 Max (0902) |
| Epoch Capabilities Index | 150.1 | 157.4 | Qwen3.8 Max (0902) |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Claude Opus 4.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 56.0 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building web apps | 1159 | 1301 | Qwen3.8 Max (0902) |
| Design Arena: agents building full-stack apps | 1156 | 1305 | Qwen3.8 Max (0902) |
| Design Arena: agents building mobile apps | 1189 | 1223 | Qwen3.8 Max (0902) |
| Design Arena: agents building Android apps | 1181 | 1207 | Qwen3.8 Max (0902) |
| 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 | Not measured | 868 | Only Qwen3.8 Max (0902) measured |
| LiveBench research | Not measured | 69.9% | Only Qwen3.8 Max (0902) measured |
| LiveBench browser | Not measured | 32.0% | Only Qwen3.8 Max (0902) measured |
| LiveBench long agentic | Not measured | 42.3% | Only Qwen3.8 Max (0902) measured |
| Finance Agent (Vals AI) | Not measured | 50.6% | Only Qwen3.8 Max (0902) measured |
| Tax Agent Bench (Vals AI) | Not measured | 32.1% | Only Qwen3.8 Max (0902) measured |
| Legal Research Bench (Vals AI) | Not measured | 47.6% | Only Qwen3.8 Max (0902) measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 60.1% | Only Qwen3.8 Max (0902) measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 12.9% | Only Qwen3.8 Max (0902) measured |
| τ²-Bench Telecom | 89.5% | Not measured | Only Claude Opus 4.5 measured |
| APEX-Agents | Not measured | 63.3% | Only Qwen3.8 Max (0902) measured |
| METR time horizons | 75.0% | Not measured | Only Claude Opus 4.5 measured |
| Remote Labor Index | 3.8% | Not measured | Only Claude Opus 4.5 measured |
| GDPval | 45.5% | Not measured | Only Claude Opus 4.5 measured |
| BALROG | 43.5% | Not measured | Only Claude Opus 4.5 measured |
| DeepResearch Bench | 54.8% | Not measured | Only Claude Opus 4.5 measured |
| OSWorld | 66.3% | Not measured | Only Claude Opus 4.5 measured |
| Vending-Bench 2 | $4,967 | Not measured | Only Claude Opus 4.5 measured |
| LMArena Search | Not measured | 1261 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 13 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index010
| Benchmark | Claude Opus 4.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| GPQA Diamond | 85.9% | 93.7% | Qwen3.8 Max (0902) |
| LiveBench reasoning | Not measured | 88.2% | Only Qwen3.8 Max (0902) measured |
| MysteryMechanism (Vals AI) | Not measured | 23.9% | Only Qwen3.8 Max (0902) measured |
| MMMU Pro (Vals AI) | 83.0% | 88.0% | Qwen3.8 Max (0902) |
| GPQA Diamond (Artificial Analysis run) | 86.6% | 92.8% | Qwen3.8 Max (0902) |
| Humanity's Last Exam (Artificial Analysis run) | 30.1% | 43.1% | Qwen3.8 Max (0902) |
| GPQA Diamond (Epoch AI run) | 86.0% | 92.7% | Qwen3.8 Max (0902) |
| ARC-AGI | 80.0% | Not measured | Only Claude Opus 4.5 measured |
| ARC-AGI-2 | 37.6% | Not measured | Only Claude Opus 4.5 measured |
| SimpleBench | 62.0% | Not measured | Only Claude Opus 4.5 measured |
| Chess puzzles | 14.0% | 46.0% | Qwen3.8 Max (0902) |
| Mystery game puzzles | 22.0% | 38.0% | Qwen3.8 Max (0902) |
| EBR-bench | 14.3% | Not measured | Only Claude Opus 4.5 measured |
| VPCT | 40.0% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: hard prompts | 1476 | 1496 | Qwen3.8 Max (0902) |
| LMArena Text: expert | 1487 | 1507 | Qwen3.8 Max (0902) |
| LMArena Text: hard prompts in English | 1482 | 1503 | Qwen3.8 Max (0902) |
| LMArena Vision: diagrams | Not measured | 1323 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: homework | Not measured | 1336 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 2 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Claude Opus 4.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| AIME | 95.4% | Not measured | Only Claude Opus 4.5 measured |
| MGSM (Vals AI) | 95.2% | Not measured | Only Claude Opus 4.5 measured |
| AA Math Index | 91.3 | Not measured | Only Claude Opus 4.5 measured |
| AIME 2025 (Artificial Analysis run) | 91.3% | Not measured | Only Claude Opus 4.5 measured |
| OTIS Mock AIME | 86.1% | 100.0% | Qwen3.8 Max (0902) |
| FrontierMath, tiers 1 to 3 | 34.4% | 74.7% | Qwen3.8 Max (0902) |
| FrontierMath, tier 4 | 4.9% | 46.3% | Qwen3.8 Max (0902) |
| ProofBench | 36.0% | 58.0% | Qwen3.8 Max (0902) |
| LMArena Text: math | 1463 | 1501 | Qwen3.8 Max (0902) |
| LMArena Text: mathematical work | 1468 | 1491 | Qwen3.8 Max (0902) |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index38
| Benchmark | Claude Opus 4.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| MMLU Pro | 87.3% | 88.6% | Qwen3.8 Max (0902) |
| LegalBench (Vals AI) | 84.6% | 83.6% | Claude Opus 4.5 |
| CaseLaw (Vals AI) | 62.6% | Not measured | Only Claude Opus 4.5 measured |
| CorpFin (Vals AI) | 65.1% | 65.8% | Qwen3.8 Max (0902) |
| TaxEval (Vals AI) | 74.9% | 75.5% | Qwen3.8 Max (0902) |
| MortgageTax (Vals AI) | 68.7% | 64.0% | Claude Opus 4.5 |
| MedQA (Vals AI) | 95.9% | Not measured | Only Claude Opus 4.5 measured |
| MedCode (Vals AI) | 49.2% | 40.7% | Claude Opus 4.5 |
| MMLU Pro (Artificial Analysis run) | 89.5% | Not measured | Only Claude Opus 4.5 measured |
| SimpleQA Verified | 45.7% | 47.3% | Qwen3.8 Max (0902) |
| GeoBench | 75.0% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: science | 1454 | 1512 | Qwen3.8 Max (0902) |
| LMArena Text: medicine and healthcare | 1444 | 1503 | Qwen3.8 Max (0902) |
| LMArena Text: legal and government | 1459 | 1492 | Qwen3.8 Max (0902) |
| LMArena Text: business and finance | 1448 | 1480 | Qwen3.8 Max (0902) |
| Neither model has a result on the other 2 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Claude Opus 4.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| Design Arena: websites | 1247 | 1275 | Qwen3.8 Max (0902) |
| Design Arena: UI components | 1238 | 1340 | Qwen3.8 Max (0902) |
| Design Arena: game dev | 1229 | 1313 | Qwen3.8 Max (0902) |
| Design Arena: data viz | 1243 | 1281 | Qwen3.8 Max (0902) |
| Design Arena: 3D | 1214 | 1337 | Qwen3.8 Max (0902) |
| Design Arena: all code categories | 1242 | 1293 | Qwen3.8 Max (0902) |
| Design Arena: SVG | 1180 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: ASCII art | 1190 | 1201 | Qwen3.8 Max (0902) |
| LiveBench design | Not measured | 78.6% | Only Qwen3.8 Max (0902) measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index320
| Benchmark | Claude Opus 4.5 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 78.4% | Only Qwen3.8 Max (0902) measured |
| Public Benefits Bench (Vals AI) | Not measured | 67.1% | Only Qwen3.8 Max (0902) measured |
| SAGE (Vals AI) | 52.1% | 51.2% | Claude Opus 4.5 |
| MedScribe (Vals AI) | 85.3% | 85.0% | Claude Opus 4.5 |
| Vals Multimodal Index | Not measured | 65.4% | Only Qwen3.8 Max (0902) measured |
| IFBench | 58.0% | Not measured | Only Claude Opus 4.5 measured |
| Long context reasoning (AA-LCR) | 77.3% | 80.3% | Qwen3.8 Max (0902) |
| DTBench | 89.9% | 92.0% | Qwen3.8 Max (0902) |
| LMCA | 44.5% | 46.2% | Qwen3.8 Max (0902) |
| CL-bench | 21.1% | Not measured | Only Claude Opus 4.5 measured |
| Furniture assembly | 28.3% | 20.0% | Claude Opus 4.5 |
| LMArena Text | 1451 | 1483 | Qwen3.8 Max (0902) |
| LMArena Text: instruction following | 1478 | 1481 | Qwen3.8 Max (0902) |
| LMArena Text: creative writing | 1445 | 1477 | Qwen3.8 Max (0902) |
| LMArena Vision | Not measured | 1313 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: English | 1461 | 1491 | Qwen3.8 Max (0902) |
| LMArena Text: non-English | 1438 | 1473 | Qwen3.8 Max (0902) |
| LMArena Text: Chinese | 1470 | 1539 | Qwen3.8 Max (0902) |
| LMArena Text: German | 1449 | 1478 | Qwen3.8 Max (0902) |
| LMArena Text: Japanese | 1417 | 1473 | Qwen3.8 Max (0902) |
| LMArena Text: Korean | 1424 | 1460 | Qwen3.8 Max (0902) |
| LMArena Text: French | 1471 | 1498 | Qwen3.8 Max (0902) |
| LMArena Text: Spanish | 1457 | 1489 | Qwen3.8 Max (0902) |
| LMArena Text: Russian | 1447 | 1482 | Qwen3.8 Max (0902) |
| LMArena Text: Polish | 1439 | 1471 | Qwen3.8 Max (0902) |
| LMArena Text: multi-turn | 1466 | 1489 | Qwen3.8 Max (0902) |
| LMArena Text: longer queries | 1479 | 1488 | Qwen3.8 Max (0902) |
| LMArena Text: writing and language | 1452 | 1477 | Qwen3.8 Max (0902) |
| LMArena Text: entertainment and media | 1434 | 1464 | Qwen3.8 Max (0902) |
| LMArena Vision: English | Not measured | 1311 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: Chinese | Not measured | 1358 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: reading text | Not measured | 1322 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: humor | Not measured | 1304 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: creative writing | Not measured | 1312 | Only Qwen3.8 Max (0902) measured |
| LMArena Document | 1462 | Not measured | Only Claude Opus 4.5 measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.5 | 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
Claude Opus 4.5$0.018Fits in one request
Qwen3.8 Max (0902)$0.0050Fits in one request
Qwen3.8 Max (0902) costs less
Repository review
50K input + 3K output tokens
Claude Opus 4.5$0.325Fits in one request
Qwen3.8 Max (0902)$0.118Fits in one request
Qwen3.8 Max (0902) costs less
Agent loop
200K input + 10K output tokens
Claude Opus 4.5$1.25Exceeds the context window
Qwen3.8 Max (0902)$0.460Fits in one request
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 4.5 | Qwen3.8 Max (0902) |
|---|---|---|
| Maker | Anthropic | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | November 24, 2025 | September 3, 2026 |
| Context window | 200K | 1M |
| Input $/Mtok | $5.00 | $2.00 |
| Output $/Mtok | $25.00 | $6.00 |
| Coding index | 66.8 | 63.5 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $1.37 | $1.32 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.5 better than Qwen3.8 Max (0902) for coding?
Pick Claude Opus 4.5 for coding: it scores 66.8 on the Vibe Coding Index against 63.5 for Qwen3.8 Max (0902). Pick Qwen3.8 Max (0902) when output tokens cost 4.2x less, or when a solved task costs $1.32 against $1.37.
Which is cheaper, Claude Opus 4.5 or Qwen3.8 Max (0902)?
Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Per solved SWE-bench Verified task, Claude Opus 4.5 costs $1.37 and Qwen3.8 Max (0902) $1.32.
Which has the bigger context window, Claude Opus 4.5 or Qwen3.8 Max (0902)?
Qwen3.8 Max (0902), with 1M tokens against 200K.
How many benchmarks is the Claude Opus 4.5 vs Qwen3.8 Max (0902) comparison based on?
71 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.5'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.