Claude Opus 4.8 vs Qwen3.7 Plus
Claude Opus 4.8 leads Qwen3.7 Plus on coding, 65.0 to 33.2 on the Vibe Coding Index, and Qwen3.7 Plus costs 19.5x less per output token ($1.28 vs $25.00 per million). Updated October 21, 2026; 75 benchmarks have a result for both.
Claude Opus 4.8 or Qwen3.7 Plus: which to pick
Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.
Pick Qwen3.7 Plus for output tokens 19.5x cheaper ($1.28 vs $25.00 per million) and work measured by LMArena Text: medicine and healthcare or Design Arena: websites, where it leads.
- Shared results
- 75
- Claude Opus 4.8 only
- 55
- Qwen3.7 Plus only
- 0
- 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 Opus 4.8
Claude Opus 4.8 scores 65.0 against 33.2.
6 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Opus 4.8
Claude Opus 4.8 leads, 41.8 against 25.2.
Same board, both measured
Agentic work
AA Agentic Index
Claude Opus 4.8
Claude Opus 4.8 leads, 41.9 against 17.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.8 has a GPQA Diamond result, 92.4%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Opus 4.8 has a MMLU Pro result, 89.6%.
Directional only
Web design
Design Arena: websites
Qwen3.7 Plus
Qwen3.7 Plus leads, 1269 against 1259.
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 Plus
Claude Opus 4.8 $0.018, Qwen3.7 Plus $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Opus 4.8 has the number, $2.17.
Directional only
At a glance
- Coding index
- Claude Opus 4.8 65.0 from 6 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
- Widest category
- Coding, 19.4 points apart on average over 10 shared benchmarks.
- Widest single gap
- FrontierCode: Claude Opus 4.8 46.5% against Qwen3.7 Plus 10.2%, 55.8 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.8 $25.00 against Qwen3.7 Plus $1.28 per million output tokens, 19.5x 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 Plus | Ties |
|---|---|---|---|---|
| Coding | 10 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 7 | 0 | ||
| Reasoning | 9 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 4 | 1 | ||
| Web design | 2 | 6 | ||
| General | 28 | 2 | ||
| All shared boards | 66 | 9 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index100
| Benchmark | Claude Opus 4.8 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| LiveBench coding | 77.3% | Not measured | Only Claude Opus 4.8 measured |
| LMArena WebDev | 1556 | Not measured | Only Claude Opus 4.8 measured |
| AA Coding Index | 74.3 | 55.9 | Claude Opus 4.8 |
| LiveCodeBench (Vals AI) | 87.8% | Not measured | Only Claude Opus 4.8 measured |
| SWE-bench Verified (Vals AI) | 88.6% | Not measured | Only Claude Opus 4.8 measured |
| Terminal-Bench 4 (Vals AI) | 23.2% | Not measured | Only Claude Opus 4.8 measured |
| Vibe Code Bench (Vals AI) | 82.7% | 46.4% | Claude Opus 4.8 |
| Code migration (Vals AI) | 47.3% | 12.9% | 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% | 52.8% | Claude Opus 4.8 |
| SkillsBench (Vals AI) | 59.2% | 54.3% | Claude Opus 4.8 |
| SciCode | 54.4% | 46.1% | Claude Opus 4.8 |
| Terminal-Bench Hard (Artificial Analysis run) | 58.3% | 47.0% | Claude Opus 4.8 |
| FrontierCode | 46.5% | 10.2% | Claude Opus 4.8 |
| GSO-Bench | 47.1% | Not measured | Only Claude Opus 4.8 measured |
| WeirdML | 82.9% | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: coding | 1490 | 1473 | Claude Opus 4.8 |
| LMArena Text: software and IT | 1488 | 1473 | Claude Opus 4.8 |
| LMArena WebDev: React | 1557 | Not measured | Only Claude Opus 4.8 measured |
| LMArena WebDev: HTML | 1543 | Not measured | Only Claude Opus 4.8 measured |
| SciCode | 12.3% | Not measured | Only Claude Opus 4.8 measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Opus 4.8 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 41.8 | 25.2 | Claude Opus 4.8 |
| Epoch Capabilities Index | 159.0 | 147.0 | Claude Opus 4.8 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Claude Opus 4.8 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | 41.9 | 17.5 | Claude Opus 4.8 |
| Design Arena: agents building web apps | 1233 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: agents building full-stack apps | 1249 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: agents building mobile apps | 1222 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: agents building Android apps | 1232 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: agents building Godot games | 1231 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: agents building games | 1238 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: HTML slides | 1221 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: PowerPoint slides | 1227 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: spreadsheets | 1270 | Not measured | Only Claude Opus 4.8 measured |
| 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% | 38.2% | Claude Opus 4.8 |
| Tax Agent Bench (Vals AI) | 30.0% | 10.5% | Claude Opus 4.8 |
| Legal Research Bench (Vals AI) | 43.8% | 16.4% | Claude Opus 4.8 |
| Excel Modeling Benchmark (Vals AI) | 69.4% | 49.3% | 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% | 93.0% | Claude Opus 4.8 |
| 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% | 2.8% | Claude Opus 4.8 |
| 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 14 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Claude Opus 4.8 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| GPQA Diamond | 92.4% | Not measured | Only Claude Opus 4.8 measured |
| 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% | 90.0% | Claude Opus 4.8 |
| Humanity's Last Exam (Artificial Analysis run) | 48.7% | 35.6% | Claude Opus 4.8 |
| GPQA Diamond (Epoch AI run) | 91.0% | 87.9% | 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% | Not measured | Only Claude Opus 4.8 measured |
| Chess puzzles | 52.0% | Not measured | Only Claude Opus 4.8 measured |
| Mystery game puzzles | 36.0% | 17.0% | Claude Opus 4.8 |
| EBR-bench | 28.6% | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: hard prompts | 1482 | 1460 | Claude Opus 4.8 |
| LMArena Text: expert | 1503 | 1466 | Claude Opus 4.8 |
| LMArena Text: hard prompts in English | 1487 | 1460 | Claude Opus 4.8 |
| LMArena Vision: diagrams | 1315 | 1292 | Claude Opus 4.8 |
| LMArena Vision: homework | 1337 | 1295 | Claude Opus 4.8 |
| Kagi LLM Benchmark | 88.8% | 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 Plus | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.3% | 93.3% | Claude Opus 4.8 |
| FrontierMath, tiers 1 to 3 | 80.0% | 34.4% | Claude Opus 4.8 |
| FrontierMath, tier 4 | 56.1% | Not measured | Only Claude Opus 4.8 measured |
| ProofBench | 69.0% | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: math | 1486 | 1467 | Claude Opus 4.8 |
| LMArena Text: mathematical work | 1497 | 1470 | Claude Opus 4.8 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Claude Opus 4.8 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| MMLU Pro | 89.6% | Not measured | Only Claude Opus 4.8 measured |
| LegalBench (Vals AI) | 83.6% | Not measured | Only Claude Opus 4.8 measured |
| CorpFin (Vals AI) | 66.7% | Not measured | Only Claude Opus 4.8 measured |
| TaxEval (Vals AI) | 75.6% | Not measured | Only Claude Opus 4.8 measured |
| MortgageTax (Vals AI) | 69.9% | 66.2% | Claude Opus 4.8 |
| MedCode (Vals AI) | 53.2% | Not measured | Only Claude Opus 4.8 measured |
| SimpleQA Verified | 53.0% | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: science | 1477 | 1464 | Claude Opus 4.8 |
| LMArena Text: medicine and healthcare | 1464 | 1464 | Qwen3.7 Plus |
| LMArena Text: legal and government | 1477 | 1451 | Claude Opus 4.8 |
| LMArena Text: business and finance | 1458 | 1435 | Claude Opus 4.8 |
| FACTS Benchmark Suite | 53.5% | 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 index26
| Benchmark | Claude Opus 4.8 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 1259 | 1269 | Qwen3.7 Plus |
| Design Arena: UI components | 1257 | 1261 | Qwen3.7 Plus |
| Design Arena: game dev | 1264 | 1262 | Claude Opus 4.8 |
| Design Arena: data viz | 1240 | 1276 | Qwen3.7 Plus |
| Design Arena: 3D | 1223 | 1239 | Qwen3.7 Plus |
| Design Arena: all code categories | 1255 | 1269 | Qwen3.7 Plus |
| Design Arena: SVG | 1194 | 1208 | Qwen3.7 Plus |
| Design Arena: ASCII art | 1277 | 1143 | 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 index282
| Benchmark | Claude Opus 4.8 | Qwen3.7 Plus | 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% | 39.3% | Claude Opus 4.8 |
| MedScribe (Vals AI) | 85.8% | Not measured | Only Claude Opus 4.8 measured |
| Vals Multimodal Index | 70.9% | 53.9% | Claude Opus 4.8 |
| IFBench | 62.2% | 78.0% | Qwen3.7 Plus |
| Long context reasoning (AA-LCR) | 77.7% | 73.0% | Claude Opus 4.8 |
| DTBench | 94.9% | 84.0% | Claude Opus 4.8 |
| LMCA | 57.5% | 37.6% | 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 | 1454 | Claude Opus 4.8 |
| LMArena Text: instruction following | 1476 | 1439 | Claude Opus 4.8 |
| LMArena Text: creative writing | 1454 | 1438 | Claude Opus 4.8 |
| LMArena Vision | 1294 | 1278 | Claude Opus 4.8 |
| LMArena Text: English | 1468 | 1458 | Claude Opus 4.8 |
| LMArena Text: non-English | 1450 | 1445 | Claude Opus 4.8 |
| LMArena Text: Chinese | 1506 | 1509 | Qwen3.7 Plus |
| LMArena Text: German | 1472 | 1471 | Claude Opus 4.8 |
| LMArena Text: Japanese | 1442 | 1412 | Claude Opus 4.8 |
| LMArena Text: Korean | 1431 | 1413 | Claude Opus 4.8 |
| LMArena Text: French | 1481 | 1472 | Claude Opus 4.8 |
| LMArena Text: Spanish | 1465 | 1457 | Claude Opus 4.8 |
| LMArena Text: Russian | 1474 | 1457 | Claude Opus 4.8 |
| LMArena Text: Polish | 1459 | 1449 | Claude Opus 4.8 |
| LMArena Text: multi-turn | 1476 | 1459 | Claude Opus 4.8 |
| LMArena Text: longer queries | 1483 | 1454 | Claude Opus 4.8 |
| LMArena Text: writing and language | 1461 | 1437 | Claude Opus 4.8 |
| LMArena Text: entertainment and media | 1440 | 1422 | Claude Opus 4.8 |
| LMArena Vision: English | 1293 | 1280 | Claude Opus 4.8 |
| LMArena Vision: Chinese | 1346 | 1332 | Claude Opus 4.8 |
| LMArena Vision: reading text | 1303 | 1288 | Claude Opus 4.8 |
| LMArena Vision: humor | 1282 | 1261 | Claude Opus 4.8 |
| LMArena Vision: creative writing | 1301 | 1258 | Claude Opus 4.8 |
| LMArena Document | 1475 | 1444 | Claude Opus 4.8 |
| 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 Plus | 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 Plus costs less
Repository review
50K input + 3K output tokens
Qwen3.7 Plus costs less
Agent loop
200K input + 10K output tokens
Qwen3.7 Plus 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 Plus |
|---|---|---|
| Maker | Anthropic | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | May 27, 2026 | June 3, 2026 |
| Context window | 1M | 1M |
| Input $/Mtok | $5.00 | $0.32 |
| Output $/Mtok | $25.00 | $1.28 |
| Coding index | 65.0 | 33.2 |
| Independent measurements behind it | 6 | 2 |
| Cost per solved task | $2.17 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.8 better than Qwen3.7 Plus for coding?
Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for output tokens 19.5x cheaper ($1.28 vs $25.00 per million) and work measured by LMArena Text: medicine and healthcare or Design Arena: websites, where it leads.
Which is cheaper, Claude Opus 4.8 or Qwen3.7 Plus?
Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for Claude Opus 4.8 only.
Which has the bigger context window, Claude Opus 4.8 or Qwen3.7 Plus?
Neither: both take 1M tokens.
How many benchmarks is the Claude Opus 4.8 vs Qwen3.7 Plus comparison based on?
75 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.8's coding index rests on 6 independent benchmarks and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.