Claude Sonnet 4.5 vs Qwen3.7 Plus
Claude Sonnet 4.5 leads Qwen3.7 Plus on coding, 39.5 to 33.2 on the Vibe Coding Index, and Qwen3.7 Plus costs 11.7x less per output token ($1.28 vs $15.00 per million). Updated October 22, 2026; 50 benchmarks have a result for both.
Claude Sonnet 4.5 or Qwen3.7 Plus: which to pick
Pick Claude Sonnet 4.5 for coding: it scores 39.5 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.
Pick Qwen3.7 Plus for output tokens 11.7x cheaper ($1.28 vs $15.00 per million) and work measured by AA Coding Index or Vibe Code Bench (Vals AI), where it leads.
- Shared results
- 50
- Claude Sonnet 4.5 only
- 45
- Qwen3.7 Plus only
- 25
- 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 4.5
Claude Sonnet 4.5 scores 39.5 against 33.2.
3 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.7 Plus
Qwen3.7 Plus leads, 25.2 against 20.7.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.7 Plus
Qwen3.7 Plus leads, 17.5 against 15.8.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Claude Sonnet 4.5 has a GPQA Diamond result, 81.6%.
Directional only
Math
AIME
No call
Only Claude Sonnet 4.5 has a AIME result, 88.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Sonnet 4.5 has a MMLU Pro result, 87.4%.
Directional only
Web design
Design Arena: websites
Qwen3.7 Plus
Qwen3.7 Plus leads, 1269 against 1189.
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 Sonnet 4.5 $0.011, Qwen3.7 Plus $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Sonnet 4.5 has the number, $1.16.
Directional only
At a glance
- Coding index
- Claude Sonnet 4.5 39.5 from 3 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
- Widest category
- Web design, 10.9 points apart on average over 8 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Claude Sonnet 4.5 22.6% against Qwen3.7 Plus 46.4%, 23.8 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 4.5 $15.00 against Qwen3.7 Plus $1.28 per million output tokens, 11.7x 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 4.5 | Bars | Qwen3.7 Plus | Ties |
|---|---|---|---|---|
| Coding | 1 | 3 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 3 | 1 | 1 tie | |
| Math | 0 | 4 | ||
| Knowledge | 1 | 4 | ||
| Web design | 1 | 7 | ||
| General | 9 | 12 | ||
| All shared boards | 15 | 34 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index13
| Benchmark | Claude Sonnet 4.5 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| SWE-bench Verified | 74.8% | Not measured | Only Claude Sonnet 4.5 measured |
| SWE-bench Multilingual | 67.0% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena WebDev | 1394 | Not measured | Only Claude Sonnet 4.5 measured |
| AA Coding Index | 52.1 | 55.9 | Qwen3.7 Plus |
| LiveCodeBench (Vals AI) | 73.0% | Not measured | Only Claude Sonnet 4.5 measured |
| SWE-bench Verified (Vals AI) | 70.0% | Not measured | Only Claude Sonnet 4.5 measured |
| Vibe Code Bench (Vals AI) | 22.6% | 46.4% | Qwen3.7 Plus |
| Code migration (Vals AI) | Not measured | 12.9% | Only Qwen3.7 Plus measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 52.8% | Only Qwen3.7 Plus measured |
| SkillsBench (Vals AI) | Not measured | 54.3% | Only Qwen3.7 Plus measured |
| SciCode | Not measured | 46.1% | Only Qwen3.7 Plus measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 47.0% | Only Qwen3.7 Plus measured |
| Terminal-Bench | 46.5% | Not measured | Only Claude Sonnet 4.5 measured |
| FrontierCode | Not measured | 10.2% | Only Qwen3.7 Plus measured |
| GSO-Bench | 14.7% | Not measured | Only Claude Sonnet 4.5 measured |
| WeirdML | 47.7% | Not measured | Only Claude Sonnet 4.5 measured |
| Cybench | 60.0% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: coding | 1488 | 1473 | Claude Sonnet 4.5 |
| LMArena Text: software and IT | 1473 | 1473 | Qwen3.7 Plus |
| LMArena WebDev: React | 1386 | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena WebDev: HTML | 1399 | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Sonnet 4.5 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 20.7 | 25.2 | Qwen3.7 Plus |
| Epoch Capabilities Index | 146.7 | 147.0 | Qwen3.7 Plus |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Claude Sonnet 4.5 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | 15.8 | 17.5 | Qwen3.7 Plus |
| Design Arena: agents building web apps | 1060 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: agents building full-stack apps | 1050 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: agents building mobile apps | 1137 | Not measured | Only Claude Sonnet 4.5 measured |
| Finance Agent (Vals AI) | Not measured | 38.2% | Only Qwen3.7 Plus measured |
| Tax Agent Bench (Vals AI) | Not measured | 10.5% | Only Qwen3.7 Plus measured |
| Legal Research Bench (Vals AI) | Not measured | 16.4% | Only Qwen3.7 Plus measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 49.3% | Only Qwen3.7 Plus measured |
| τ²-Bench Telecom | Not measured | 93.0% | Only Qwen3.7 Plus measured |
| METR time horizons | 67.4% | Not measured | Only Claude Sonnet 4.5 measured |
| Remote Labor Index | 2.1% | Not measured | Only Claude Sonnet 4.5 measured |
| GDPval | 42.5% | Not measured | Only Claude Sonnet 4.5 measured |
| OSWorld 2.0 | Not measured | 2.8% | Only Qwen3.7 Plus measured |
| DeepResearch Bench | 52.6% | Not measured | Only Claude Sonnet 4.5 measured |
| OSWorld | 62.9% | Not measured | Only Claude Sonnet 4.5 measured |
| Vending-Bench 2 | $3,839 | Not measured | Only Claude Sonnet 4.5 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 73.2% | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Claude Sonnet 4.5 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| GPQA Diamond | 81.6% | Not measured | Only Claude Sonnet 4.5 measured |
| MMMU Pro (Vals AI) | 79.3% | Not measured | Only Claude Sonnet 4.5 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 90.0% | Only Qwen3.7 Plus measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 35.6% | Only Qwen3.7 Plus measured |
| GPQA Diamond (Epoch AI run) | 82.3% | 87.9% | Qwen3.7 Plus |
| ARC-AGI | 63.7% | Not measured | Only Claude Sonnet 4.5 measured |
| ARC-AGI-2 | 13.6% | Not measured | Only Claude Sonnet 4.5 measured |
| SimpleBench | 54.3% | Not measured | Only Claude Sonnet 4.5 measured |
| Chess puzzles | 10.0% | Not measured | Only Claude Sonnet 4.5 measured |
| Mystery game puzzles | 17.0% | 17.0% | Tie |
| EBR-bench | 2.4% | Not measured | Only Claude Sonnet 4.5 measured |
| VPCT | 39.8% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: hard prompts | 1462 | 1460 | Claude Sonnet 4.5 |
| LMArena Text: expert | 1483 | 1466 | Claude Sonnet 4.5 |
| LMArena Text: hard prompts in English | 1471 | 1460 | Claude Sonnet 4.5 |
| LMArena Vision: diagrams | Not measured | 1292 | Only Qwen3.7 Plus measured |
| LMArena Vision: homework | Not measured | 1295 | Only Qwen3.7 Plus measured |
| Kagi LLM Benchmark | 57.9% | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Claude Sonnet 4.5 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AIME | 88.2% | Not measured | Only Claude Sonnet 4.5 measured |
| MGSM (Vals AI) | 94.3% | Not measured | Only Claude Sonnet 4.5 measured |
| OTIS Mock AIME | 77.8% | 93.3% | Qwen3.7 Plus |
| FrontierMath, tiers 1 to 3 | 23.9% | 34.4% | Qwen3.7 Plus |
| FrontierMath, tier 4 | 2.4% | Not measured | Only Claude Sonnet 4.5 measured |
| ProofBench | 19.0% | Not measured | Only Claude Sonnet 4.5 measured |
| MATH level 5 | 97.7% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: math | 1449 | 1467 | Qwen3.7 Plus |
| LMArena Text: mathematical work | 1462 | 1470 | Qwen3.7 Plus |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Claude Sonnet 4.5 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| MMLU Pro | 87.4% | Not measured | Only Claude Sonnet 4.5 measured |
| LegalBench (Vals AI) | 84.1% | Not measured | Only Claude Sonnet 4.5 measured |
| CaseLaw (Vals AI) | 62.2% | Not measured | Only Claude Sonnet 4.5 measured |
| CorpFin (Vals AI) | 62.0% | Not measured | Only Claude Sonnet 4.5 measured |
| TaxEval (Vals AI) | 73.3% | Not measured | Only Claude Sonnet 4.5 measured |
| MortgageTax (Vals AI) | 64.0% | 66.2% | Qwen3.7 Plus |
| MedQA (Vals AI) | 94.7% | Not measured | Only Claude Sonnet 4.5 measured |
| MedCode (Vals AI) | 44.1% | Not measured | Only Claude Sonnet 4.5 measured |
| SimpleQA Verified | 30.7% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: science | 1448 | 1464 | Qwen3.7 Plus |
| LMArena Text: medicine and healthcare | 1444 | 1464 | Qwen3.7 Plus |
| LMArena Text: legal and government | 1451 | 1451 | Qwen3.7 Plus |
| LMArena Text: business and finance | 1440 | 1435 | Claude Sonnet 4.5 |
| FACTS Benchmark Suite | 40.6% | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Claude Sonnet 4.5 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 1189 | 1269 | Qwen3.7 Plus |
| Design Arena: UI components | 1170 | 1258 | Qwen3.7 Plus |
| Design Arena: game dev | 1166 | 1261 | Qwen3.7 Plus |
| Design Arena: data viz | 1167 | 1276 | Qwen3.7 Plus |
| Design Arena: 3D | 1157 | 1238 | Qwen3.7 Plus |
| Design Arena: all code categories | 1182 | 1269 | Qwen3.7 Plus |
| Design Arena: SVG | 1115 | 1208 | Qwen3.7 Plus |
| Design Arena: ASCII art | 1205 | 1143 | Claude Sonnet 4.5 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index912
| Benchmark | Claude Sonnet 4.5 | Qwen3.7 Plus | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 36.1% | 39.3% | Qwen3.7 Plus |
| MedScribe (Vals AI) | 84.5% | Not measured | Only Claude Sonnet 4.5 measured |
| Vals Multimodal Index | Not measured | 53.9% | Only Qwen3.7 Plus measured |
| IFBench | Not measured | 78.0% | Only Qwen3.7 Plus measured |
| Long context reasoning (AA-LCR) | Not measured | 73.0% | Only Qwen3.7 Plus measured |
| DTBench | 83.2% | 84.0% | Qwen3.7 Plus |
| LMCA | 38.8% | 37.6% | Claude Sonnet 4.5 |
| LMArena Text | 1438 | 1454 | Qwen3.7 Plus |
| LMArena Text: instruction following | 1459 | 1439 | Claude Sonnet 4.5 |
| LMArena Text: creative writing | 1442 | 1438 | Claude Sonnet 4.5 |
| LMArena Vision | Not measured | 1278 | Only Qwen3.7 Plus measured |
| LMArena Text: English | 1450 | 1458 | Qwen3.7 Plus |
| LMArena Text: non-English | 1425 | 1445 | Qwen3.7 Plus |
| LMArena Text: Chinese | 1460 | 1509 | Qwen3.7 Plus |
| LMArena Text: German | 1427 | 1471 | Qwen3.7 Plus |
| LMArena Text: Japanese | 1390 | 1412 | Qwen3.7 Plus |
| LMArena Text: Korean | 1402 | 1413 | Qwen3.7 Plus |
| LMArena Text: French | 1459 | 1472 | Qwen3.7 Plus |
| LMArena Text: Spanish | 1458 | 1457 | Claude Sonnet 4.5 |
| LMArena Text: Russian | 1437 | 1457 | Qwen3.7 Plus |
| LMArena Text: Polish | 1423 | 1449 | Qwen3.7 Plus |
| LMArena Text: multi-turn | 1465 | 1459 | Claude Sonnet 4.5 |
| LMArena Text: longer queries | 1475 | 1454 | Claude Sonnet 4.5 |
| LMArena Text: writing and language | 1442 | 1437 | Claude Sonnet 4.5 |
| LMArena Text: entertainment and media | 1428 | 1422 | Claude Sonnet 4.5 |
| LMArena Vision: English | Not measured | 1280 | Only Qwen3.7 Plus measured |
| LMArena Vision: Chinese | Not measured | 1332 | Only Qwen3.7 Plus measured |
| LMArena Vision: reading text | Not measured | 1288 | Only Qwen3.7 Plus measured |
| LMArena Vision: humor | Not measured | 1261 | Only Qwen3.7 Plus measured |
| LMArena Vision: creative writing | Not measured | 1258 | Only Qwen3.7 Plus measured |
| LMArena Document | 1450 | 1444 | Claude Sonnet 4.5 |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Sonnet 4.5 | 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 Sonnet 4.5 | Qwen3.7 Plus |
|---|---|---|
| Maker | Anthropic | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | September 29, 2025 | June 3, 2026 |
| Context window | 1M | 1M |
| Input $/Mtok | $3.00 | $0.32 |
| Output $/Mtok | $15.00 | $1.28 |
| Coding index | 39.5 | 33.2 |
| Independent measurements behind it | 3 | 2 |
| Cost per solved task | $1.16 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 4.5 better than Qwen3.7 Plus for coding?
Pick Claude Sonnet 4.5 for coding: it scores 39.5 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for output tokens 11.7x cheaper ($1.28 vs $15.00 per million) and work measured by AA Coding Index or Vibe Code Bench (Vals AI), where it leads.
Which is cheaper, Claude Sonnet 4.5 or Qwen3.7 Plus?
Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for Claude Sonnet 4.5 only.
Which has the bigger context window, Claude Sonnet 4.5 or Qwen3.7 Plus?
Neither: both take 1M tokens.
How many benchmarks is the Claude Sonnet 4.5 vs Qwen3.7 Plus comparison based on?
50 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.5's coding index rests on 3 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.