Claude Opus 4.8 vs Qwen3.7 Max
Updated October 21, 2026. 58 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 4.8 for coding: it scores 66.0 on the Vibe Coding Index against 45.1 for Qwen3.7 Max.
Pick Qwen3.7 Max when output tokens cost 5.6x less, or when what matters is τ²-Bench Telecom or GPQA Diamond (Artificial Analysis run), where it leads.
- Shared results
- 58
- Claude Opus 4.8 only
- 68
- Qwen3.7 Max only
- 1
- 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 4.8
Claude Opus 4.8 scores 66.0 against 45.1.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Opus 4.8
Claude Opus 4.8 leads, 41.8 against 29.5.
Same board, both measured
Agentic work
AA Agentic Index
Claude Opus 4.8
Claude Opus 4.8 leads, 41.9 against 22.5.
Same board, both measured
Reasoning
GPQA Diamond
Claude Opus 4.8
Claude Opus 4.8 leads, 92.4% against 90.2%.
Same board, both measured
Knowledge
MMLU Pro
Claude Opus 4.8
Claude Opus 4.8 leads, 89.6% against 89.3%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.7 Max
Qwen3.7 Max leads, 1274 against 1258.
Same board, both measured
Long documents
Listed context window
No call
Both take 1M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.7 Max
Claude Opus 4.8 $0.018, Qwen3.7 Max $0.0037 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Claude Opus 4.8
Claude Opus 4.8 $2.17, Qwen3.7 Max $4.69.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Opus 4.8 66.0 from 2 benchmarks, Qwen3.7 Max 45.1 from 1 benchmark.
- Widest category
- Math, 20.8 points apart on average over 4 shared benchmarks.
- Widest single gap
- ProofBench: Claude Opus 4.8 69.0% against Qwen3.7 Max 26.0%, 43.0 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.8 $25.00 against Qwen3.7 Max $4.425 per million output tokens, 5.6x 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 4.8 | Bars | Qwen3.7 Max | Ties |
|---|---|---|---|---|
| Coding | 11 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 13 | 1 | ||
| Reasoning | 6 | 2 | ||
| Math | 4 | 0 | ||
| Knowledge | 4 | 2 | ||
| Web design | 1 | 7 | ||
| General | 3 | 2 | ||
| All shared boards | 44 | 14 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index110
| Benchmark | Claude Opus 4.8 | Qwen3.7 Max | Leader |
|---|---|---|---|
| LiveBench coding | 77.3% | Not measured | Only Claude Opus 4.8 measured |
| LMArena WebDev | 1556 | 1515 | Claude Opus 4.8 |
| AA Coding Index | 74.3 | 66.0 | Claude Opus 4.8 |
| LiveCodeBench (Vals AI) | 87.8% | 87.1% | Claude Opus 4.8 |
| SWE-bench Verified (Vals AI) | 88.6% | 68.8% | Claude Opus 4.8 |
| Terminal-Bench 4 (Vals AI) | 23.2% | Not measured | Only Claude Opus 4.8 measured |
| Vibe Code Bench (Vals AI) | 82.7% | 47.7% | Claude Opus 4.8 |
| Code migration (Vals AI) | 47.3% | 13.1% | Claude Opus 4.8 |
| ProgramBench (Vals AI) | 1.0% | Not measured | Only Claude Opus 4.8 measured |
| Terminal-Bench 2.1 (Vals AI) | 71.9% | 61.0% | Claude Opus 4.8 |
| SkillsBench (Vals AI) | 59.2% | Not measured | Only Claude Opus 4.8 measured |
| SciCode | 54.4% | 49.5% | Claude Opus 4.8 |
| Terminal-Bench Hard (Artificial Analysis run) | 58.3% | 50.8% | Claude Opus 4.8 |
| FrontierCode | 46.5% | Not measured | Only Claude Opus 4.8 measured |
| GSO-Bench | 47.1% | Not measured | Only Claude Opus 4.8 measured |
| WeirdML | 82.9% | Not measured | Only Claude Opus 4.8 measured |
| ALE-Bench | Not measured | 1189.4 | Only Qwen3.7 Max measured |
| LMArena Text: coding | 1490 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: software and IT | 1488 | Not measured | Only Claude Opus 4.8 measured |
| LMArena WebDev: React | 1557 | 1514 | Claude Opus 4.8 |
| LMArena WebDev: HTML | 1543 | 1512 | Claude Opus 4.8 |
| 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 Opus 4.8 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Intelligence Index | 41.8 | 29.5 | Claude Opus 4.8 |
| Epoch Capabilities Index | 159.0 | 154.0 | Claude Opus 4.8 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index131
| Benchmark | Claude Opus 4.8 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Agentic Index | 41.9 | 22.5 | Claude Opus 4.8 |
| Design Arena: agents building web apps | 1233 | 1208 | Claude Opus 4.8 |
| Design Arena: agents building full-stack apps | 1249 | 1191 | Claude Opus 4.8 |
| Design Arena: agents building mobile apps | 1222 | 1153 | Claude Opus 4.8 |
| Design Arena: agents building Android apps | 1237 | 1165 | Claude Opus 4.8 |
| Design Arena: agents building Godot games | 1231 | 1187 | Claude Opus 4.8 |
| Design Arena: agents building games | 1238 | 1161 | Claude Opus 4.8 |
| Design Arena: HTML slides | 1221 | 1158 | Claude Opus 4.8 |
| Design Arena: PowerPoint slides | 1227 | 1196 | Claude Opus 4.8 |
| LiveBench research | 81.8% | Not measured | Only Claude Opus 4.8 measured |
| LiveBench browser | 96.0% | Not measured | Only Claude Opus 4.8 measured |
| LiveBench long agentic | 48.3% | Not measured | Only Claude Opus 4.8 measured |
| Finance Agent (Vals AI) | 53.9% | 47.8% | Claude Opus 4.8 |
| Tax Agent Bench (Vals AI) | 30.0% | 15.8% | Claude Opus 4.8 |
| Legal Research Bench (Vals AI) | 43.8% | 25.5% | Claude Opus 4.8 |
| Excel Modeling Benchmark (Vals AI) | 69.4% | 57.0% | Claude Opus 4.8 |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only Claude Opus 4.8 measured |
| Time Horizon Index (Vals AI) | 11.8% | Not measured | Only Claude Opus 4.8 measured |
| τ²-Bench Telecom | 94.4% | 94.7% | Qwen3.7 Max |
| APEX-Agents | 48.9% | Not measured | Only Claude Opus 4.8 measured |
| Remote Labor Index | 8.3% | Not measured | Only Claude Opus 4.8 measured |
| OSWorld 2.0 | 20.6% | Not measured | Only Claude Opus 4.8 measured |
| DeepResearch Bench | 50.2% | Not measured | Only Claude Opus 4.8 measured |
| PostTrainBench | 33.8% | Not measured | Only Claude Opus 4.8 measured |
| Vending-Bench 2 | $5,787 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Search | 1204 | Not measured | Only Claude Opus 4.8 measured |
| Neither model has a result on the other 13 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index62
| Benchmark | Claude Opus 4.8 | Qwen3.7 Max | Leader |
|---|---|---|---|
| GPQA Diamond | 92.4% | 90.2% | Claude Opus 4.8 |
| LiveBench reasoning | 89.2% | Not measured | Only Claude Opus 4.8 measured |
| MMMU Pro (Vals AI) | 86.6% | Not measured | Only Claude Opus 4.8 measured |
| GPQA Diamond (Artificial Analysis run) | 92.0% | 92.3% | Qwen3.7 Max |
| Humanity's Last Exam (Artificial Analysis run) | 48.7% | 40.5% | Claude Opus 4.8 |
| GPQA Diamond (Epoch AI run) | 91.0% | 90.9% | Claude Opus 4.8 |
| ARC-AGI | 92.5% | Not measured | Only Claude Opus 4.8 measured |
| ARC-AGI-2 | 72.1% | Not measured | Only Claude Opus 4.8 measured |
| SimpleBench | 64.8% | 70.4% | Qwen3.7 Max |
| Chess puzzles | 52.0% | 26.0% | Claude Opus 4.8 |
| Mystery game puzzles | 36.0% | 32.0% | Claude Opus 4.8 |
| EBR-bench | 28.6% | 9.5% | Claude Opus 4.8 |
| LMArena Text: hard prompts | 1482 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: expert | 1503 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: hard prompts in English | 1487 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Vision: diagrams | 1315 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Vision: homework | 1337 | Not measured | Only Claude Opus 4.8 measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Opus 4.8 | Qwen3.7 Max | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.3% | 95.6% | Claude Opus 4.8 |
| FrontierMath, tiers 1 to 3 | 80.0% | 64.6% | Claude Opus 4.8 |
| FrontierMath, tier 4 | 56.1% | 34.1% | Claude Opus 4.8 |
| ProofBench | 69.0% | 26.0% | Claude Opus 4.8 |
| LMArena Text: math | 1486 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: mathematical work | 1497 | Not measured | Only Claude Opus 4.8 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | Claude Opus 4.8 | Qwen3.7 Max | Leader |
|---|---|---|---|
| MMLU Pro | 89.6% | 89.3% | Claude Opus 4.8 |
| LegalBench (Vals AI) | 83.6% | 84.9% | Qwen3.7 Max |
| CorpFin (Vals AI) | 66.7% | 63.7% | Claude Opus 4.8 |
| TaxEval (Vals AI) | 75.6% | 75.3% | Claude Opus 4.8 |
| MortgageTax (Vals AI) | 69.9% | Not measured | Only Claude Opus 4.8 measured |
| MedCode (Vals AI) | 53.2% | 38.8% | Claude Opus 4.8 |
| SimpleQA Verified | 53.0% | 55.8% | Qwen3.7 Max |
| LMArena Text: science | 1477 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: medicine and healthcare | 1464 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: legal and government | 1477 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: business and finance | 1458 | Not measured | Only Claude Opus 4.8 measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Claude Opus 4.8 | Qwen3.7 Max | Leader |
|---|---|---|---|
| Design Arena: websites | 1258 | 1274 | Qwen3.7 Max |
| Design Arena: UI components | 1256 | 1269 | Qwen3.7 Max |
| Design Arena: game dev | 1264 | 1265 | Qwen3.7 Max |
| Design Arena: data viz | 1240 | 1275 | Qwen3.7 Max |
| Design Arena: 3D | 1223 | 1266 | Qwen3.7 Max |
| Design Arena: all code categories | 1255 | 1275 | Qwen3.7 Max |
| Design Arena: SVG | 1194 | 1216 | Qwen3.7 Max |
| Design Arena: ASCII art | 1276 | 1211 | Claude Opus 4.8 |
| LiveBench design | 78.8% | Not measured | Only Claude Opus 4.8 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Claude Opus 4.8 | Qwen3.7 Max | Leader |
|---|---|---|---|
| LiveBench data analysis | 66.0% | Not measured | Only Claude Opus 4.8 measured |
| Public Benefits Bench (Vals AI) | 68.1% | Not measured | Only Claude Opus 4.8 measured |
| SAGE (Vals AI) | 54.8% | Not measured | Only Claude Opus 4.8 measured |
| MedScribe (Vals AI) | 85.8% | 79.4% | Claude Opus 4.8 |
| Vals Multimodal Index | 70.9% | Not measured | Only Claude Opus 4.8 measured |
| IFBench | 62.2% | 80.5% | Qwen3.7 Max |
| Long context reasoning (AA-LCR) | 77.7% | 79.0% | Qwen3.7 Max |
| DTBench | 94.9% | 92.3% | Claude Opus 4.8 |
| LMCA | 57.5% | 44.0% | Claude Opus 4.8 |
| Surface Evolver Bench | 87.5% | Not measured | Only Claude Opus 4.8 measured |
| Furniture assembly | 42.5% | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text | 1461 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: instruction following | 1476 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: creative writing | 1454 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Vision | 1294 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: English | 1468 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: non-English | 1450 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: Chinese | 1506 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: German | 1472 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: Japanese | 1442 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: Korean | 1431 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: French | 1481 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: Spanish | 1465 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: Russian | 1474 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: Polish | 1459 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: multi-turn | 1476 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: longer queries | 1483 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: writing and language | 1461 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: entertainment and media | 1440 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Vision: English | 1293 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Vision: Chinese | 1346 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Vision: reading text | 1303 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Vision: humor | 1282 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Vision: creative writing | 1301 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Document | 1475 | Not measured | Only Claude Opus 4.8 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 4.8 | Qwen3.7 Max | 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
Qwen3.7 Max costs less
Repository review
50K input + 3K output tokens
Qwen3.7 Max costs less
Agent loop
200K input + 10K output tokens
Qwen3.7 Max 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 4.8 | Qwen3.7 Max |
|---|---|---|
| Maker | Anthropic | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | May 27, 2026 | May 21, 2026 |
| Context window | 1M | 1M |
| Input $/Mtok | $5.00 | $1.475 |
| Output $/Mtok | $25.00 | $4.425 |
| Coding index | 66.0 | 45.1 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $2.17 | $4.69 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.8 better than Qwen3.7 Max for coding?
Pick Claude Opus 4.8 for coding: it scores 66.0 on the Vibe Coding Index against 45.1 for Qwen3.7 Max. Pick Qwen3.7 Max when output tokens cost 5.6x less, or when what matters is τ²-Bench Telecom or GPQA Diamond (Artificial Analysis run), where it leads.
Which is cheaper, Claude Opus 4.8 or Qwen3.7 Max?
Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, Claude Opus 4.8 costs $2.17 and Qwen3.7 Max $4.69.
Which has the bigger context window, Claude Opus 4.8 or Qwen3.7 Max?
Neither: both take 1M tokens.
How many benchmarks is the Claude Opus 4.8 vs Qwen3.7 Max comparison based on?
58 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.8's coding index rests on 2 independent benchmarks and Qwen3.7 Max's on 1. Where only one model has a result, the page says so instead of naming a winner.