Claude Opus 4.1 vs Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads Claude Opus 4.1 on the Artificial Analysis Intelligence Index, 45.4 to 22.8, and Qwen3.8 Max (0902) costs 12.5x less per output token ($6.00 vs $75.00 per million). Updated October 22, 2026; 56 benchmarks have a result for both.
Claude Opus 4.1 or Qwen3.8 Max (0902): which to pick
Only Qwen3.8 Max (0902) has a coding score, 62.4 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding.
Pick Claude Opus 4.1 for work measured by MedCode (Vals AI), where it leads.
- Shared results
- 56
- Claude Opus 4.1 only
- 17
- Qwen3.8 Max (0902) only
- 57
- 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 Qwen3.8 Max (0902) has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 45.4 against 22.8.
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 76.3%.
Same board, both measured
Math
AIME
No call
Only Claude Opus 4.1 has a AIME result, 78.2%.
Directional only
Knowledge
MMLU Pro
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 88.6% against 87.9%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 1275 against 1176.
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 4.1 $0.052, 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 4.1 not benchmarked, Qwen3.8 Max (0902) 62.4 from 5 benchmarks.
- Widest category
- Math, 31.7 points apart on average over 5 shared benchmarks.
- Widest single gap
- FrontierMath, tiers 1 to 3: Claude Opus 4.1 12.6% against Qwen3.8 Max (0902) 74.7%, 62.1 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.1 $75.00 against Qwen3.8 Max (0902) $6.00 per million output tokens, 12.5x apart.
- Context window
- Claude Opus 4.1 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 4.1 | Bars | Qwen3.8 Max (0902) | Ties |
|---|---|---|---|---|
| Coding | 0 | 5 | ||
| Intelligence | 0 | 2 | ||
| Reasoning | 0 | 7 | ||
| Math | 0 | 5 | ||
| Knowledge | 1 | 8 | ||
| Web design | 0 | 7 | ||
| General | 0 | 21 | ||
| All shared boards | 1 | 55 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
| Benchmark | Claude Opus 4.1 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 60.3% | Only Qwen3.8 Max (0902) measured |
| LMArena WebDev | 1390 | 1674 | Qwen3.8 Max (0902) |
| AA Coding Index | Not measured | 76.2 | Only Qwen3.8 Max (0902) measured |
| LiveCodeBench (Vals AI) | 66.5% | 87.8% | Qwen3.8 Max (0902) |
| SWE-bench Verified (Vals AI) | Not measured | 85.6% | Only Qwen3.8 Max (0902) measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 34.3% | Only Qwen3.8 Max (0902) measured |
| Vibe Code Bench (Vals AI) | Not measured | 64.7% | Only Qwen3.8 Max (0902) measured |
| 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 |
| SciCode | Not measured | 53.2% | Only Qwen3.8 Max (0902) measured |
| Terminal-Bench | 38.0% | Not measured | Only Claude Opus 4.1 measured |
| FrontierSWE | Not measured | 17.8% | Only Qwen3.8 Max (0902) measured |
| WeirdML | 45.9% | Not measured | Only Claude Opus 4.1 measured |
| Cybench | 42.0% | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: coding | 1479 | 1502 | Qwen3.8 Max (0902) |
| LMArena Text: software and IT | 1456 | 1498 | Qwen3.8 Max (0902) |
| LMArena WebDev: React | Not measured | 1692 | Only Qwen3.8 Max (0902) measured |
| LMArena WebDev: HTML | 1399 | 1649 | Qwen3.8 Max (0902) |
| LMArena WebDev: from an image | Not measured | 1637 | Only Qwen3.8 Max (0902) measured |
| SciCode | 4.6% | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Opus 4.1 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.8 | 45.4 | Qwen3.8 Max (0902) |
| Epoch Capabilities Index | 144.1 | 157.4 | Qwen3.8 Max (0902) |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
| Benchmark | Claude Opus 4.1 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 56.0 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building web apps | Not measured | 1300 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building full-stack apps | Not measured | 1305 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building mobile apps | Not measured | 1224 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building Android apps | Not measured | 1196 | 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 | 1233 | Only Qwen3.8 Max (0902) measured |
| Design Arena: spreadsheets | Not measured | 967 | 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 |
| APEX-Agents | Not measured | 63.3% | Only Qwen3.8 Max (0902) measured |
| METR time horizons | 66.8% | Not measured | Only Claude Opus 4.1 measured |
| GDPval | 43.6% | Not measured | Only Claude Opus 4.1 measured |
| DeepResearch Bench | 48.3% | Not measured | Only Claude Opus 4.1 measured |
| LMArena Search | Not measured | 1261 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 20 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Claude Opus 4.1 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| GPQA Diamond | 76.3% | 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) | 77.5% | 88.0% | Qwen3.8 Max (0902) |
| GPQA Diamond (Artificial Analysis run) | Not measured | 92.8% | Only Qwen3.8 Max (0902) measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 43.1% | Only Qwen3.8 Max (0902) measured |
| GPQA Diamond (Epoch AI run) | 77.3% | 92.7% | Qwen3.8 Max (0902) |
| SimpleBench | 60.0% | Not measured | Only Claude Opus 4.1 measured |
| Chess puzzles | Not measured | 46.0% | Only Qwen3.8 Max (0902) measured |
| Mystery game puzzles | 21.0% | 38.0% | Qwen3.8 Max (0902) |
| EBR-bench | 7.9% | Not measured | Only Claude Opus 4.1 measured |
| VPCT | 35.0% | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: hard prompts | 1442 | 1496 | Qwen3.8 Max (0902) |
| LMArena Text: expert | 1438 | 1507 | Qwen3.8 Max (0902) |
| LMArena Text: hard prompts in English | 1451 | 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 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Claude Opus 4.1 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| AIME | 78.2% | Not measured | Only Claude Opus 4.1 measured |
| MATH 500 (Vals AI) | 95.4% | Not measured | Only Claude Opus 4.1 measured |
| MGSM (Vals AI) | 94.4% | Not measured | Only Claude Opus 4.1 measured |
| OTIS Mock AIME | 68.9% | 100.0% | Qwen3.8 Max (0902) |
| FrontierMath, tiers 1 to 3 | 12.6% | 74.7% | Qwen3.8 Max (0902) |
| FrontierMath, tier 4 | 2.4% | 46.3% | Qwen3.8 Max (0902) |
| ProofBench | Not measured | 58.0% | Only Qwen3.8 Max (0902) measured |
| LMArena Text: math | 1431 | 1501 | Qwen3.8 Max (0902) |
| LMArena Text: mathematical work | 1434 | 1491 | Qwen3.8 Max (0902) |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index18
| Benchmark | Claude Opus 4.1 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| MMLU Pro | 87.9% | 88.6% | Qwen3.8 Max (0902) |
| LegalBench (Vals AI) | 83.5% | 83.6% | Qwen3.8 Max (0902) |
| CorpFin (Vals AI) | Not measured | 65.8% | Only Qwen3.8 Max (0902) measured |
| TaxEval (Vals AI) | 73.7% | 75.5% | Qwen3.8 Max (0902) |
| MortgageTax (Vals AI) | 61.1% | 64.0% | Qwen3.8 Max (0902) |
| MedQA (Vals AI) | 93.6% | Not measured | Only Claude Opus 4.1 measured |
| MedCode (Vals AI) | 47.2% | 40.7% | Claude Opus 4.1 |
| SimpleQA Verified | Not measured | 47.3% | Only Qwen3.8 Max (0902) measured |
| LMArena Text: science | 1422 | 1512 | Qwen3.8 Max (0902) |
| LMArena Text: medicine and healthcare | 1416 | 1503 | Qwen3.8 Max (0902) |
| LMArena Text: legal and government | 1421 | 1492 | Qwen3.8 Max (0902) |
| LMArena Text: business and finance | 1406 | 1480 | Qwen3.8 Max (0902) |
| FACTS Benchmark Suite | 40.4% | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Claude Opus 4.1 | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| Design Arena: websites | 1176 | 1275 | Qwen3.8 Max (0902) |
| Design Arena: UI components | 1162 | 1338 | Qwen3.8 Max (0902) |
| Design Arena: game dev | 1171 | 1312 | Qwen3.8 Max (0902) |
| Design Arena: data viz | 1166 | 1281 | Qwen3.8 Max (0902) |
| Design Arena: 3D | 1152 | 1336 | Qwen3.8 Max (0902) |
| Design Arena: all code categories | 1170 | 1293 | Qwen3.8 Max (0902) |
| Design Arena: SVG | 1152 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: ASCII art | 1167 | 1200 | 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 index021
| Benchmark | Claude Opus 4.1 | 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) | 31.4% | 51.2% | Qwen3.8 Max (0902) |
| MedScribe (Vals AI) | 73.9% | 85.0% | Qwen3.8 Max (0902) |
| Vals Multimodal Index | Not measured | 65.4% | Only Qwen3.8 Max (0902) measured |
| Long context reasoning (AA-LCR) | Not measured | 80.3% | Only Qwen3.8 Max (0902) measured |
| DTBench | 80.0% | 92.0% | Qwen3.8 Max (0902) |
| LMCA | 37.1% | 46.2% | Qwen3.8 Max (0902) |
| Creative writing (Lech Mazur) | 84.7% | Not measured | Only Claude Opus 4.1 measured |
| Furniture assembly | Not measured | 20.0% | Only Qwen3.8 Max (0902) measured |
| LMArena Text | 1419 | 1483 | Qwen3.8 Max (0902) |
| LMArena Text: instruction following | 1435 | 1481 | Qwen3.8 Max (0902) |
| LMArena Text: creative writing | 1412 | 1477 | Qwen3.8 Max (0902) |
| LMArena Vision | Not measured | 1313 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: English | 1433 | 1491 | Qwen3.8 Max (0902) |
| LMArena Text: non-English | 1405 | 1473 | Qwen3.8 Max (0902) |
| LMArena Text: Chinese | 1427 | 1539 | Qwen3.8 Max (0902) |
| LMArena Text: German | 1413 | 1478 | Qwen3.8 Max (0902) |
| LMArena Text: Japanese | 1377 | 1473 | Qwen3.8 Max (0902) |
| LMArena Text: Korean | 1381 | 1460 | Qwen3.8 Max (0902) |
| LMArena Text: French | 1433 | 1498 | Qwen3.8 Max (0902) |
| LMArena Text: Spanish | 1448 | 1489 | Qwen3.8 Max (0902) |
| LMArena Text: Russian | 1422 | 1482 | Qwen3.8 Max (0902) |
| LMArena Text: Polish | 1413 | 1471 | Qwen3.8 Max (0902) |
| LMArena Text: multi-turn | 1444 | 1489 | Qwen3.8 Max (0902) |
| LMArena Text: longer queries | 1455 | 1488 | Qwen3.8 Max (0902) |
| LMArena Text: writing and language | 1418 | 1477 | Qwen3.8 Max (0902) |
| LMArena Text: entertainment and media | 1398 | 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 |
| 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 4.1 | 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 4.1 | Qwen3.8 Max (0902) |
|---|---|---|
| Maker | Anthropic | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | August 5, 2025 | September 3, 2026 |
| Context window | 200K | 1M |
| Input $/Mtok | $15.00 | $2.00 |
| Output $/Mtok | $75.00 | $6.00 |
| Coding index | Not benchmarked | 62.4 |
| Independent measurements behind it | 1 | 5 |
| Cost per solved task | Not computable | $1.32 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.1 better than Qwen3.8 Max (0902) for coding?
Only Qwen3.8 Max (0902) has a coding score, 62.4 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for work measured by MedCode (Vals AI), where it leads.
Which is cheaper, Claude Opus 4.1 or Qwen3.8 Max (0902)?
Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 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 4.1 or Qwen3.8 Max (0902)?
Qwen3.8 Max (0902), with 1M tokens against 200K.
How many benchmarks is the Claude Opus 4.1 vs Qwen3.8 Max (0902) comparison based on?
56 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Qwen3.8 Max (0902)'s on 5. Where only one model has a result, the page says so instead of naming a winner.