Claude Opus 4.7 vs Qwen3.7 Max
Claude Opus 4.7 leads Qwen3.7 Max on coding, 67.5 to 54.1 on the Vibe Coding Index, and Qwen3.7 Max costs 5.6x less per output token ($4.425 vs $25.00 per million). Updated October 22, 2026; 41 benchmarks have a result for both.
Claude Opus 4.7 or Qwen3.7 Max: which to pick
Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 54.1 for Qwen3.7 Max.
Pick Qwen3.7 Max for output tokens 5.6x cheaper ($4.425 vs $25.00 per million) and work measured by LiveCodeBench (Vals AI) or τ²-Bench Telecom, where it leads.
- Shared results
- 41
- Claude Opus 4.7 only
- 62
- Qwen3.7 Max only
- 18
- 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
Claude Opus 4.7
Claude Opus 4.7 scores 67.5 against 54.1.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Opus 4.7
Claude Opus 4.7 leads, 40.7 against 29.5.
Same board, both measured
Agentic work
AA Agentic Index
Claude Opus 4.7
Claude Opus 4.7 leads, 38.6 against 22.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Tied at 90.2%.
Same board, both measured
Math
AIME
No call
Only Claude Opus 4.7 has a AIME result, 96.3%.
Directional only
Knowledge
MMLU Pro
Claude Opus 4.7
Claude Opus 4.7 leads, 89.9% against 89.3%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Qwen3.7 Max has a Design Arena: websites result, 1274.
Directional only
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 4.7 $0.018, Qwen3.7 Max $0.0037 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Claude Opus 4.7
Claude Opus 4.7 $2.95, Qwen3.7 Max $4.69.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Opus 4.7 67.5 from 4 benchmarks, Qwen3.7 Max 54.1 from 3 benchmarks.
- Widest category
- Coding, 10.9 points apart on average over 10 shared benchmarks.
- Widest single gap
- Code migration (Vals AI): Claude Opus 4.7 43.9% against Qwen3.7 Max 13.1%, 30.8 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.7 $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 4.7 | Bars | Qwen3.7 Max | Ties |
|---|---|---|---|---|
| Coding | 9 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 5 | 1 | ||
| Reasoning | 3 | 4 | 1 tie | |
| Math | 3 | 1 | ||
| Knowledge | 4 | 2 | ||
| General | 3 | 2 | ||
| All shared boards | 29 | 11 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index91
| Benchmark | Claude Opus 4.7 | Qwen3.7 Max | Leader |
|---|---|---|---|
| LMArena WebDev | 1558 | 1515 | Claude Opus 4.7 |
| AA Coding Index | 73.6 | 66.0 | Claude Opus 4.7 |
| LiveCodeBench (Vals AI) | 85.1% | 87.1% | Qwen3.7 Max |
| SWE-bench Verified (Vals AI) | 82.0% | 68.8% | Claude Opus 4.7 |
| Vibe Code Bench (Vals AI) | 71.0% | 47.7% | Claude Opus 4.7 |
| Code migration (Vals AI) | 43.9% | 13.1% | Claude Opus 4.7 |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Claude Opus 4.7 measured |
| Terminal-Bench 2.1 (Vals AI) | 68.5% | 61.0% | Claude Opus 4.7 |
| SciCode | Not measured | 49.5% | Only Qwen3.7 Max measured |
| Terminal-Bench Hard (Artificial Analysis run) | 54.5% | 50.8% | Claude Opus 4.7 |
| Terminal-Bench | 80.2% | Not measured | Only Claude Opus 4.7 measured |
| FrontierCode | 38.5% | Not measured | Only Claude Opus 4.7 measured |
| GSO-Bench | 44.1% | Not measured | Only Claude Opus 4.7 measured |
| WeirdML | 76.4% | Not measured | Only Claude Opus 4.7 measured |
| MirrorCode | 31.1% | Not measured | Only Claude Opus 4.7 measured |
| ALE-Bench | Not measured | 1189.4 | Only Qwen3.7 Max measured |
| LMArena Text: coding | 1519 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: software and IT | 1516 | Not measured | Only Claude Opus 4.7 measured |
| LMArena WebDev: React | 1560 | 1514 | Claude Opus 4.7 |
| LMArena WebDev: HTML | 1554 | 1512 | Claude Opus 4.7 |
| LMArena WebDev: from an image | 1577 | Not measured | Only Claude Opus 4.7 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 4.7 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Intelligence Index | 40.7 | 29.5 | Claude Opus 4.7 |
| Epoch Capabilities Index | 156.8 | 154.0 | Claude Opus 4.7 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Claude Opus 4.7 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Agentic Index | 38.6 | 22.5 | Claude Opus 4.7 |
| Design Arena: agents building web apps | Not measured | 1208 | Only Qwen3.7 Max measured |
| Design Arena: agents building full-stack apps | Not measured | 1191 | Only Qwen3.7 Max measured |
| Design Arena: agents building mobile apps | Not measured | 1155 | Only Qwen3.7 Max measured |
| Design Arena: agents building Android apps | Not measured | 1159 | Only Qwen3.7 Max measured |
| Design Arena: agents building Godot games | Not measured | 1187 | Only Qwen3.7 Max measured |
| Design Arena: agents building games | Not measured | 1161 | Only Qwen3.7 Max measured |
| Design Arena: HTML slides | Not measured | 1108 | Only Qwen3.7 Max measured |
| Design Arena: PowerPoint slides | Not measured | 1171 | Only Qwen3.7 Max measured |
| Finance Agent (Vals AI) | 51.5% | 47.8% | Claude Opus 4.7 |
| Tax Agent Bench (Vals AI) | 23.7% | 15.8% | Claude Opus 4.7 |
| Legal Research Bench (Vals AI) | 38.5% | 25.5% | Claude Opus 4.7 |
| Excel Modeling Benchmark (Vals AI) | 63.7% | 57.0% | Claude Opus 4.7 |
| τ²-Bench Telecom | 88.6% | 94.7% | Qwen3.7 Max |
| APEX-Agents | 49.2% | Not measured | Only Claude Opus 4.7 measured |
| OSWorld 2.0 | 18.2% | Not measured | Only Claude Opus 4.7 measured |
| PostTrainBench | 28.6% | Not measured | Only Claude Opus 4.7 measured |
| Vending-Bench 2 | $10,937 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Search | 1230 | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 22 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index34
| Benchmark | Claude Opus 4.7 | Qwen3.7 Max | Leader |
|---|---|---|---|
| GPQA Diamond | 90.2% | 90.2% | Tie |
| MMMU Pro (Vals AI) | 85.5% | Not measured | Only Claude Opus 4.7 measured |
| GPQA Diamond (Artificial Analysis run) | 91.4% | 92.3% | Qwen3.7 Max |
| Humanity's Last Exam (Artificial Analysis run) | 42.3% | 40.5% | Claude Opus 4.7 |
| GPQA Diamond (Epoch AI run) | 90.2% | 90.9% | Qwen3.7 Max |
| ARC-AGI | 93.5% | Not measured | Only Claude Opus 4.7 measured |
| ARC-AGI-2 | 75.8% | Not measured | Only Claude Opus 4.7 measured |
| SimpleBench | 61.7% | 70.4% | Qwen3.7 Max |
| Chess puzzles | 41.0% | 26.0% | Claude Opus 4.7 |
| Mystery game puzzles | 28.0% | 32.0% | Qwen3.7 Max |
| EBR-bench | 19.0% | 9.5% | Claude Opus 4.7 |
| LMArena Text: hard prompts | 1506 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: expert | 1521 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: hard prompts in English | 1508 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: diagrams | 1336 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: homework | 1337 | Not measured | Only Claude Opus 4.7 measured |
| Kagi LLM Benchmark | 80.7% | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Claude Opus 4.7 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AIME | 96.3% | Not measured | Only Claude Opus 4.7 measured |
| OTIS Mock AIME | 97.8% | 95.6% | Claude Opus 4.7 |
| FrontierMath, tiers 1 to 3 | 70.2% | 64.6% | Claude Opus 4.7 |
| FrontierMath, tier 4 | 31.7% | 34.1% | Qwen3.7 Max |
| ProofBench | 54.0% | 26.0% | Claude Opus 4.7 |
| LMArena Text: math | 1498 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: mathematical work | 1509 | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | Claude Opus 4.7 | Qwen3.7 Max | Leader |
|---|---|---|---|
| MMLU Pro | 89.9% | 89.3% | Claude Opus 4.7 |
| LegalBench (Vals AI) | 85.3% | 84.9% | Claude Opus 4.7 |
| CaseLaw (Vals AI) | 68.4% | Not measured | Only Claude Opus 4.7 measured |
| CorpFin (Vals AI) | 66.1% | 63.7% | Claude Opus 4.7 |
| TaxEval (Vals AI) | 75.3% | 75.3% | Qwen3.7 Max |
| MortgageTax (Vals AI) | 70.3% | Not measured | Only Claude Opus 4.7 measured |
| MedCode (Vals AI) | 54.9% | 38.8% | Claude Opus 4.7 |
| SimpleQA Verified | 51.7% | 55.8% | Qwen3.7 Max |
| LMArena Text: science | 1508 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: medicine and healthcare | 1495 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: legal and government | 1504 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: business and finance | 1490 | Not measured | Only Claude Opus 4.7 measured |
| FACTS Benchmark Suite | 45.5% | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Claude Opus 4.7 | Qwen3.7 Max | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1274 | Only Qwen3.7 Max measured |
| Design Arena: UI components | Not measured | 1267 | Only Qwen3.7 Max measured |
| Design Arena: game dev | Not measured | 1264 | Only Qwen3.7 Max measured |
| Design Arena: data viz | Not measured | 1275 | Only Qwen3.7 Max measured |
| Design Arena: 3D | Not measured | 1265 | Only Qwen3.7 Max measured |
| Design Arena: all code categories | Not measured | 1275 | Only Qwen3.7 Max measured |
| Design Arena: SVG | Not measured | 1216 | Only Qwen3.7 Max measured |
| Design Arena: ASCII art | Not measured | 1211 | Only Qwen3.7 Max measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Claude Opus 4.7 | Qwen3.7 Max | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 56.1% | Not measured | Only Claude Opus 4.7 measured |
| MedScribe (Vals AI) | 83.0% | 79.4% | Claude Opus 4.7 |
| Vals Multimodal Index | 67.4% | Not measured | Only Claude Opus 4.7 measured |
| IFBench | 58.6% | 80.5% | Qwen3.7 Max |
| Long context reasoning (AA-LCR) | 78.7% | 79.0% | Qwen3.7 Max |
| DTBench | 94.7% | 92.3% | Claude Opus 4.7 |
| LMCA | 52.2% | 44.0% | Claude Opus 4.7 |
| Furniture assembly | 33.3% | Not measured | Only Claude Opus 4.7 measured |
| ExploitBench | 26.5% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text | 1490 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: instruction following | 1498 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: creative writing | 1486 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision | 1317 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: English | 1496 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: non-English | 1480 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: Chinese | 1531 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: German | 1495 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: Japanese | 1474 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: Korean | 1464 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: French | 1503 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: Spanish | 1494 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: Russian | 1494 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: Polish | 1489 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: multi-turn | 1505 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: longer queries | 1505 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: writing and language | 1492 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: entertainment and media | 1474 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: English | 1322 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: Chinese | 1371 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: reading text | 1327 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: humor | 1309 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: recognizing things | 1278 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: creative writing | 1326 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Document | 1495 | Not measured | Only Claude Opus 4.7 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 Opus 4.7 | 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 4.7 | Qwen3.7 Max |
|---|---|---|
| Maker | Anthropic | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | April 16, 2026 | May 21, 2026 |
| Context window | 1M | 1M |
| Input $/Mtok | $5.00 | $1.475 |
| Output $/Mtok | $25.00 | $4.425 |
| Coding index | 67.5 | 54.1 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | $2.95 | $4.69 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.7 better than Qwen3.7 Max for coding?
Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 54.1 for Qwen3.7 Max. Pick Qwen3.7 Max for output tokens 5.6x cheaper ($4.425 vs $25.00 per million) and work measured by LiveCodeBench (Vals AI) or τ²-Bench Telecom, where it leads.
Which is cheaper, Claude Opus 4.7 or Qwen3.7 Max?
Claude Opus 4.7 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 4.7 costs $2.95 and Qwen3.7 Max $4.69.
Which has the bigger context window, Claude Opus 4.7 or Qwen3.7 Max?
Neither: both take 1M tokens.
How many benchmarks is the Claude Opus 4.7 vs Qwen3.7 Max comparison based on?
41 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 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.