Claude Sonnet 5 vs Qwen3.7 Max
Claude Sonnet 5 leads Qwen3.7 Max on coding, 57.7 to 54.1 on the Vibe Coding Index, and Qwen3.7 Max costs 2.3x less per output token ($4.425 vs $10.00 per million). Updated October 22, 2026; 55 benchmarks have a result for both.
Claude Sonnet 5 or Qwen3.7 Max: which to pick
Pick Claude Sonnet 5 for coding: it scores 57.7 on the Vibe Coding Index against 54.1 for Qwen3.7 Max.
Pick Qwen3.7 Max for output tokens 2.3x cheaper ($4.425 vs $10.00 per million) and work measured by LiveCodeBench (Vals AI) or GPQA Diamond, where it leads.
- Shared results
- 55
- Claude Sonnet 5 only
- 66
- Qwen3.7 Max only
- 4
- 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 Sonnet 5
Claude Sonnet 5 scores 57.7 against 54.1.
6 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Sonnet 5
Claude Sonnet 5 leads, 38.2 against 29.5.
Same board, both measured
Agentic work
AA Agentic Index
Claude Sonnet 5
Claude Sonnet 5 leads, 43.6 against 22.5.
Same board, both measured
Reasoning
GPQA Diamond
Qwen3.7 Max
Qwen3.7 Max leads, 90.2% against 88.9%.
Same board, both measured
Knowledge
MMLU Pro
Qwen3.7 Max
Qwen3.7 Max leads, 89.3% against 87.5%.
Same board, both measured
Web design
Design Arena: websites
No call
Tied at 1274.
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 Sonnet 5 $0.0070, Qwen3.7 Max $0.0037 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Claude Sonnet 5
Claude Sonnet 5 $1.87, Qwen3.7 Max $4.69.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Sonnet 5 57.7 from 6 benchmarks, Qwen3.7 Max 54.1 from 3 benchmarks.
- Widest category
- Math, 14.4 points apart on average over 4 shared benchmarks.
- Widest single gap
- ProofBench: Claude Sonnet 5 77.0% against Qwen3.7 Max 26.0%, 51.0 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 5 $10.00 against Qwen3.7 Max $4.425 per million output tokens, 2.3x 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 Sonnet 5 | Bars | Qwen3.7 Max | Ties |
|---|---|---|---|---|
| Coding | 10 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 13 | 0 | ||
| Reasoning | 3 | 4 | ||
| Math | 2 | 2 | ||
| Knowledge | 3 | 3 | ||
| Web design | 2 | 4 | 2 ties | |
| General | 3 | 1 | ||
| All shared boards | 38 | 15 | 2 ties |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index101
| Benchmark | Claude Sonnet 5 | Qwen3.7 Max | Leader |
|---|---|---|---|
| LiveBench coding | 74.7% | Not measured | Only Claude Sonnet 5 measured |
| LMArena WebDev | 1540 | 1515 | Claude Sonnet 5 |
| AA Coding Index | 71.5 | 66.0 | Claude Sonnet 5 |
| LiveCodeBench (Vals AI) | 82.4% | 87.1% | Qwen3.7 Max |
| SWE-bench Verified (Vals AI) | 79.6% | 68.8% | Claude Sonnet 5 |
| Terminal-Bench 4 (Vals AI) | 10.6% | Not measured | Only Claude Sonnet 5 measured |
| Vibe Code Bench (Vals AI) | 81.3% | 47.7% | Claude Sonnet 5 |
| Code migration (Vals AI) | 44.4% | 13.1% | Claude Sonnet 5 |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Claude Sonnet 5 measured |
| IOI (Vals AI) | 45.0% | Not measured | Only Claude Sonnet 5 measured |
| Terminal-Bench 2.1 (Vals AI) | 74.5% | 61.0% | Claude Sonnet 5 |
| Vibe Code Bench 1-100 (Vals AI) | 13.8% | Not measured | Only Claude Sonnet 5 measured |
| SkillsBench (Vals AI) | 46.5% | Not measured | Only Claude Sonnet 5 measured |
| CyberBench (Vals AI) | 70.3% | Not measured | Only Claude Sonnet 5 measured |
| SciCode | 54.3% | 49.5% | Claude Sonnet 5 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 50.8% | Only Qwen3.7 Max measured |
| FrontierCode | 42.7% | Not measured | Only Claude Sonnet 5 measured |
| GSO-Bench | 37.3% | Not measured | Only Claude Sonnet 5 measured |
| WeirdML | 68.8% | Not measured | Only Claude Sonnet 5 measured |
| ALE-Bench | 1463.1 | 1189.4 | Claude Sonnet 5 |
| LMArena Text: coding | 1483 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: software and IT | 1474 | Not measured | Only Claude Sonnet 5 measured |
| LMArena WebDev: React | 1541 | 1514 | Claude Sonnet 5 |
| LMArena WebDev: HTML | 1527 | 1512 | Claude Sonnet 5 |
| LMArena WebDev: from an image | 1540 | Not measured | Only Claude Sonnet 5 measured |
| SciCode | 10.7% | Not measured | Only Claude Sonnet 5 measured |
| 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 Sonnet 5 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.2 | 29.5 | Claude Sonnet 5 |
| Epoch Capabilities Index | 156.9 | 154.0 | Claude Sonnet 5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index130
| Benchmark | Claude Sonnet 5 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Agentic Index | 43.6 | 22.5 | Claude Sonnet 5 |
| Design Arena: agents building web apps | 1245 | 1208 | Claude Sonnet 5 |
| Design Arena: agents building full-stack apps | 1249 | 1191 | Claude Sonnet 5 |
| Design Arena: agents building mobile apps | 1215 | 1155 | Claude Sonnet 5 |
| Design Arena: agents building Android apps | 1227 | 1159 | Claude Sonnet 5 |
| Design Arena: agents building Godot games | 1225 | 1187 | Claude Sonnet 5 |
| Design Arena: agents building games | 1227 | 1161 | Claude Sonnet 5 |
| Design Arena: HTML slides | 1168 | 1108 | Claude Sonnet 5 |
| Design Arena: PowerPoint slides | 1191 | 1171 | Claude Sonnet 5 |
| Design Arena: spreadsheets | 1035 | Not measured | Only Claude Sonnet 5 measured |
| LiveBench research | 82.8% | Not measured | Only Claude Sonnet 5 measured |
| LiveBench browser | 72.0% | Not measured | Only Claude Sonnet 5 measured |
| LiveBench long agentic | 39.0% | Not measured | Only Claude Sonnet 5 measured |
| SREBench (Vals AI) | 0.4% | Not measured | Only Claude Sonnet 5 measured |
| Finance Agent (Vals AI) | 53.9% | 47.8% | Claude Sonnet 5 |
| Tax Agent Bench (Vals AI) | 29.4% | 15.8% | Claude Sonnet 5 |
| Legal Research Bench (Vals AI) | 41.8% | 25.5% | Claude Sonnet 5 |
| Excel Modeling Benchmark (Vals AI) | 66.3% | 57.0% | Claude Sonnet 5 |
| Terminal-Bench-Science (Vals AI) | 5.7% | Not measured | Only Claude Sonnet 5 measured |
| τ²-Bench Telecom | Not measured | 94.7% | Only Qwen3.7 Max measured |
| APEX-Agents | 54.5% | Not measured | Only Claude Sonnet 5 measured |
| Vending-Bench 2 | $6,378 | Not measured | Only Claude Sonnet 5 measured |
| Neither model has a result on the other 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index34
| Benchmark | Claude Sonnet 5 | Qwen3.7 Max | Leader |
|---|---|---|---|
| GPQA Diamond | 88.9% | 90.2% | Qwen3.7 Max |
| LiveBench reasoning | 88.7% | Not measured | Only Claude Sonnet 5 measured |
| MMMU Pro (Vals AI) | 83.0% | Not measured | Only Claude Sonnet 5 measured |
| GPQA Diamond (Artificial Analysis run) | 91.1% | 92.3% | Qwen3.7 Max |
| Humanity's Last Exam (Artificial Analysis run) | 41.3% | 40.5% | Claude Sonnet 5 |
| GPQA Diamond (Epoch AI run) | 90.5% | 90.9% | Qwen3.7 Max |
| SimpleBench | 60.6% | 70.4% | Qwen3.7 Max |
| Chess puzzles | 45.0% | 26.0% | Claude Sonnet 5 |
| Mystery game puzzles | 35.0% | 32.0% | Claude Sonnet 5 |
| EBR-bench | Not measured | 9.5% | Only Qwen3.7 Max measured |
| LMArena Text: hard prompts | 1461 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: expert | 1489 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: hard prompts in English | 1464 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision: diagrams | 1293 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision: homework | 1311 | Not measured | Only Claude Sonnet 5 measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | Claude Sonnet 5 | Qwen3.7 Max | Leader |
|---|---|---|---|
| OTIS Mock AIME | 94.7% | 95.6% | Qwen3.7 Max |
| FrontierMath, tiers 1 to 3 | 65.6% | 64.6% | Claude Sonnet 5 |
| FrontierMath, tier 4 | 29.3% | 34.1% | Qwen3.7 Max |
| ProofBench | 77.0% | 26.0% | Claude Sonnet 5 |
| LMArena Text: math | 1467 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: mathematical work | 1481 | Not measured | Only Claude Sonnet 5 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | Claude Sonnet 5 | Qwen3.7 Max | Leader |
|---|---|---|---|
| MMLU Pro | 87.5% | 89.3% | Qwen3.7 Max |
| LegalBench (Vals AI) | 83.9% | 84.9% | Qwen3.7 Max |
| CorpFin (Vals AI) | 67.0% | 63.7% | Claude Sonnet 5 |
| TaxEval (Vals AI) | 75.6% | 75.3% | Claude Sonnet 5 |
| MortgageTax (Vals AI) | 70.0% | Not measured | Only Claude Sonnet 5 measured |
| MedCode (Vals AI) | 47.5% | 38.8% | Claude Sonnet 5 |
| SimpleQA Verified | 33.7% | 55.8% | Qwen3.7 Max |
| LMArena Text: science | 1460 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: medicine and healthcare | 1442 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: legal and government | 1454 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: business and finance | 1436 | Not measured | Only Claude Sonnet 5 measured |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | Claude Sonnet 5 | Qwen3.7 Max | Leader |
|---|---|---|---|
| Design Arena: websites | 1274 | 1274 | Tie |
| Design Arena: UI components | 1277 | 1267 | Claude Sonnet 5 |
| Design Arena: game dev | 1277 | 1264 | Claude Sonnet 5 |
| Design Arena: data viz | 1251 | 1275 | Qwen3.7 Max |
| Design Arena: 3D | 1261 | 1265 | Qwen3.7 Max |
| Design Arena: all code categories | 1275 | 1275 | Tie |
| Design Arena: SVG | 1192 | 1216 | Qwen3.7 Max |
| Design Arena: ASCII art | 1207 | 1211 | Qwen3.7 Max |
| LiveBench design | 82.0% | Not measured | Only Claude Sonnet 5 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Claude Sonnet 5 | Qwen3.7 Max | Leader |
|---|---|---|---|
| LiveBench data analysis | 71.7% | Not measured | Only Claude Sonnet 5 measured |
| Public Benefits Bench (Vals AI) | 66.0% | Not measured | Only Claude Sonnet 5 measured |
| SAGE (Vals AI) | 48.9% | Not measured | Only Claude Sonnet 5 measured |
| MedScribe (Vals AI) | 76.0% | 79.4% | Qwen3.7 Max |
| Vals Multimodal Index | 68.8% | Not measured | Only Claude Sonnet 5 measured |
| IFBench | Not measured | 80.5% | Only Qwen3.7 Max measured |
| Long context reasoning (AA-LCR) | 82.0% | 79.0% | Claude Sonnet 5 |
| DTBench | 92.5% | 92.3% | Claude Sonnet 5 |
| LMCA | 50.0% | 44.0% | Claude Sonnet 5 |
| Surface Evolver Bench | 60.0% | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text | 1442 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: instruction following | 1452 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: creative writing | 1416 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision | 1273 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: English | 1450 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: non-English | 1431 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: Chinese | 1478 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: German | 1442 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: Japanese | 1422 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: Korean | 1412 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: French | 1463 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: Spanish | 1438 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: Russian | 1450 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: Polish | 1425 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: multi-turn | 1453 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: longer queries | 1462 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: writing and language | 1436 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: entertainment and media | 1411 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision: English | 1275 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision: Chinese | 1331 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision: reading text | 1288 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision: humor | 1261 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision: creative writing | 1246 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Document | 1466 | Not measured | Only Claude Sonnet 5 measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Sonnet 5 | 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 Sonnet 5 | Qwen3.7 Max |
|---|---|---|
| Maker | Anthropic | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | June 30, 2026 | May 21, 2026 |
| Context window | 1M | 1M |
| Input $/Mtok | $2.00 | $1.475 |
| Output $/Mtok | $10.00 | $4.425 |
| Coding index | 57.7 | 54.1 |
| Independent measurements behind it | 6 | 3 |
| Cost per solved task | $1.87 | $4.69 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 5 better than Qwen3.7 Max for coding?
Pick Claude Sonnet 5 for coding: it scores 57.7 on the Vibe Coding Index against 54.1 for Qwen3.7 Max. Pick Qwen3.7 Max for output tokens 2.3x cheaper ($4.425 vs $10.00 per million) and work measured by LiveCodeBench (Vals AI) or GPQA Diamond, where it leads.
Which is cheaper, Claude Sonnet 5 or Qwen3.7 Max?
Claude Sonnet 5 costs $2.00 per million input tokens and $10.00 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, Claude Sonnet 5 costs $1.87 and Qwen3.7 Max $4.69.
Which has the bigger context window, Claude Sonnet 5 or Qwen3.7 Max?
Neither: both take 1M tokens.
How many benchmarks is the Claude Sonnet 5 vs Qwen3.7 Max comparison based on?
55 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 5's coding index rests on 6 independent benchmarks and Qwen3.7 Max's on 3. Where only one model has a result, the page says so instead of naming a winner.