Claude Sonnet 4.5 vs Qwen3.5 397B A17B
Qwen3.5 397B A17B leads Claude Sonnet 4.5 on the Artificial Analysis Intelligence Index, 21.4 to 20.7, and Qwen3.5 397B A17B costs 6.4x less per output token ($2.34 vs $15.00 per million). Updated October 22, 2026; 46 benchmarks have a result for both.
Claude Sonnet 4.5 or Qwen3.5 397B A17B: which to pick
Only Claude Sonnet 4.5 has a coding score, 39.5 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding.
Pick Qwen3.5 397B A17B for output tokens 6.4x cheaper ($2.34 vs $15.00 per million) and work measured by LMArena WebDev or LMArena WebDev: React, where it leads.
- Shared results
- 46
- Claude Sonnet 4.5 only
- 49
- Qwen3.5 397B A17B only
- 19
- 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 Claude Sonnet 4.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Qwen3.5 397B A17B
Qwen3.5 397B A17B leads, 21.4 against 20.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Sonnet 4.5 has a AA Agentic Index result, 15.8.
Directional only
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
Qwen3.5 397B A17B
Qwen3.5 397B A17B leads, 1190 against 1189.
Same board, both measured
Long documents
Listed context window
Claude Sonnet 4.5
Claude Sonnet 4.5 takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5 397B A17B
Claude Sonnet 4.5 $0.011, Qwen3.5 397B A17B $0.0016 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, Qwen3.5 397B A17B not benchmarked.
- Widest category
- Math, 5.2 points apart on average over 4 shared benchmarks.
- Widest single gap
- OTIS Mock AIME: Claude Sonnet 4.5 77.8% against Qwen3.5 397B A17B 88.9%, 11.1 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 4.5 $15.00 against Qwen3.5 397B A17B $2.34 per million output tokens, 6.4x apart.
- Context window
- Claude Sonnet 4.5 takes 1M tokens, Qwen3.5 397B A17B 262K.
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 | Qwen3.5 397B A17B | Ties |
|---|---|---|---|---|
| Coding | 2 | 3 | ||
| Intelligence | 0 | 2 | ||
| Reasoning | 3 | 2 | ||
| Math | 1 | 3 | ||
| Knowledge | 2 | 2 | ||
| Web design | 3 | 4 | ||
| General | 12 | 7 | ||
| All shared boards | 23 | 23 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index23
| Benchmark | Claude Sonnet 4.5 | Qwen3.5 397B A17B | 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 | 1400 | Qwen3.5 397B A17B |
| AA Coding Index | 52.1 | Not measured | Only Claude Sonnet 4.5 measured |
| 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% | Not measured | Only Claude Sonnet 4.5 measured |
| SciCode | Not measured | 44.8% | Only Qwen3.5 397B A17B measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 40.9% | Only Qwen3.5 397B A17B measured |
| Terminal-Bench | 46.5% | Not measured | Only Claude Sonnet 4.5 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 |
| ALE-Bench | Not measured | 621.9 | Only Qwen3.5 397B A17B measured |
| LMArena Text: coding | 1488 | 1464 | Claude Sonnet 4.5 |
| LMArena Text: software and IT | 1473 | 1463 | Claude Sonnet 4.5 |
| LMArena WebDev: React | 1386 | 1388 | Qwen3.5 397B A17B |
| LMArena WebDev: HTML | 1399 | 1410 | Qwen3.5 397B A17B |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Sonnet 4.5 | Qwen3.5 397B A17B | Leader |
|---|---|---|---|
| AA Intelligence Index | 20.7 | 21.4 | Qwen3.5 397B A17B |
| Epoch Capabilities Index | 146.7 | 146.8 | Qwen3.5 397B A17B |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
| Benchmark | Claude Sonnet 4.5 | Qwen3.5 397B A17B | Leader |
|---|---|---|---|
| AA Agentic Index | 15.8 | Not measured | Only Claude Sonnet 4.5 measured |
| 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 |
| τ²-Bench Telecom | Not measured | 95.6% | Only Qwen3.5 397B A17B measured |
| APEX-Agents | Not measured | 24.9% | Only Qwen3.5 397B A17B 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 |
| 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 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Claude Sonnet 4.5 | Qwen3.5 397B A17B | 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 | 89.3% | Only Qwen3.5 397B A17B measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 29.0% | Only Qwen3.5 397B A17B measured |
| GPQA Diamond (Epoch AI run) | 82.3% | 86.4% | Qwen3.5 397B A17B |
| 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% | 18.0% | Qwen3.5 397B A17B |
| 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 | 1448 | Claude Sonnet 4.5 |
| LMArena Text: expert | 1483 | 1462 | Claude Sonnet 4.5 |
| LMArena Text: hard prompts in English | 1471 | 1450 | Claude Sonnet 4.5 |
| LMArena Vision: diagrams | Not measured | 1277 | Only Qwen3.5 397B A17B measured |
| LMArena Vision: homework | Not measured | 1292 | Only Qwen3.5 397B A17B 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 index13
| Benchmark | Claude Sonnet 4.5 | Qwen3.5 397B A17B | 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% | 88.9% | Qwen3.5 397B A17B |
| FrontierMath, tiers 1 to 3 | 23.9% | 31.2% | Qwen3.5 397B A17B |
| 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 | 1453 | Qwen3.5 397B A17B |
| LMArena Text: mathematical work | 1462 | 1454 | Claude Sonnet 4.5 |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | Claude Sonnet 4.5 | Qwen3.5 397B A17B | 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% | Not measured | Only Claude Sonnet 4.5 measured |
| 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 | 1457 | Qwen3.5 397B A17B |
| LMArena Text: medicine and healthcare | 1444 | 1455 | Qwen3.5 397B A17B |
| LMArena Text: legal and government | 1451 | 1441 | Claude Sonnet 4.5 |
| 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 index34
| Benchmark | Claude Sonnet 4.5 | Qwen3.5 397B A17B | Leader |
|---|---|---|---|
| Design Arena: websites | 1189 | 1190 | Qwen3.5 397B A17B |
| Design Arena: UI components | 1170 | 1160 | Claude Sonnet 4.5 |
| Design Arena: game dev | 1166 | 1140 | Claude Sonnet 4.5 |
| Design Arena: data viz | 1167 | 1175 | Qwen3.5 397B A17B |
| Design Arena: 3D | 1157 | 1160 | Qwen3.5 397B A17B |
| Design Arena: all code categories | 1182 | 1179 | Claude Sonnet 4.5 |
| Design Arena: SVG | 1115 | 1139 | Qwen3.5 397B A17B |
| Design Arena: ASCII art | 1205 | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index127
| Benchmark | Claude Sonnet 4.5 | Qwen3.5 397B A17B | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 36.1% | Not measured | Only Claude Sonnet 4.5 measured |
| MedScribe (Vals AI) | 84.5% | Not measured | Only Claude Sonnet 4.5 measured |
| IFBench | Not measured | 78.8% | Only Qwen3.5 397B A17B measured |
| Long context reasoning (AA-LCR) | Not measured | 77.3% | Only Qwen3.5 397B A17B measured |
| DTBench | 83.2% | 87.5% | Qwen3.5 397B A17B |
| LMCA | 38.8% | 37.9% | Claude Sonnet 4.5 |
| LMArena Text | 1438 | 1437 | Claude Sonnet 4.5 |
| LMArena Text: instruction following | 1459 | 1424 | Claude Sonnet 4.5 |
| LMArena Text: creative writing | 1442 | 1402 | Claude Sonnet 4.5 |
| LMArena Vision | Not measured | 1262 | Only Qwen3.5 397B A17B measured |
| LMArena Text: English | 1450 | 1443 | Claude Sonnet 4.5 |
| LMArena Text: non-English | 1425 | 1430 | Qwen3.5 397B A17B |
| LMArena Text: Chinese | 1460 | 1498 | Qwen3.5 397B A17B |
| LMArena Text: German | 1427 | 1445 | Qwen3.5 397B A17B |
| LMArena Text: Japanese | 1390 | 1429 | Qwen3.5 397B A17B |
| LMArena Text: Korean | 1402 | 1384 | Claude Sonnet 4.5 |
| LMArena Text: French | 1459 | 1462 | Qwen3.5 397B A17B |
| LMArena Text: Spanish | 1458 | 1441 | Claude Sonnet 4.5 |
| LMArena Text: Russian | 1437 | 1430 | Claude Sonnet 4.5 |
| LMArena Text: Polish | 1423 | 1447 | Qwen3.5 397B A17B |
| LMArena Text: multi-turn | 1465 | 1446 | Claude Sonnet 4.5 |
| LMArena Text: longer queries | 1475 | 1441 | Claude Sonnet 4.5 |
| LMArena Text: writing and language | 1442 | 1415 | Claude Sonnet 4.5 |
| LMArena Text: entertainment and media | 1428 | 1399 | Claude Sonnet 4.5 |
| LMArena Vision: English | Not measured | 1268 | Only Qwen3.5 397B A17B measured |
| LMArena Vision: Chinese | Not measured | 1314 | Only Qwen3.5 397B A17B measured |
| LMArena Vision: reading text | Not measured | 1271 | Only Qwen3.5 397B A17B measured |
| LMArena Vision: humor | Not measured | 1262 | Only Qwen3.5 397B A17B measured |
| LMArena Vision: captioning | Not measured | 1230 | Only Qwen3.5 397B A17B measured |
| LMArena Vision: recognizing things | Not measured | 1265 | Only Qwen3.5 397B A17B measured |
| LMArena Vision: creative writing | Not measured | 1260 | Only Qwen3.5 397B A17B measured |
| LMArena Document | 1450 | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Sonnet 4.5 | Qwen3.5 397B A17B | 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
Qwen3.5 397B A17B costs less
Repository review
50K input + 3K output tokens
Qwen3.5 397B A17B costs less
Agent loop
200K input + 10K output tokens
Qwen3.5 397B A17B 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 | Qwen3.5 397B A17B |
|---|---|---|
| Maker | Anthropic | Qwen |
| Weights | No public weights listed | Open weights |
| Released | September 29, 2025 | February 16, 2026 |
| Context window | 1M | 262K |
| Input $/Mtok | $3.00 | $0.39 |
| Output $/Mtok | $15.00 | $2.34 |
| Coding index | 39.5 | Not benchmarked |
| Independent measurements behind it | 3 | 1 |
| Cost per solved task | $1.16 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 4.5 better than Qwen3.5 397B A17B for coding?
Only Claude Sonnet 4.5 has a coding score, 39.5 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding. Pick Qwen3.5 397B A17B for output tokens 6.4x cheaper ($2.34 vs $15.00 per million) and work measured by LMArena WebDev or LMArena WebDev: React, where it leads.
Which is cheaper, Claude Sonnet 4.5 or Qwen3.5 397B A17B?
Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; Qwen3.5 397B A17B costs $0.39 and $2.34. Cost per solved task is known for Claude Sonnet 4.5 only.
Which has the bigger context window, Claude Sonnet 4.5 or Qwen3.5 397B A17B?
Claude Sonnet 4.5, with 1M tokens against 262K.
How many benchmarks is the Claude Sonnet 4.5 vs Qwen3.5 397B A17B comparison based on?
46 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 Qwen3.5 397B A17B's on 1. Where only one model has a result, the page says so instead of naming a winner.