Qwen3.7 Max vs Qwen3.7 Plus
Qwen3.7 Max leads Qwen3.7 Plus on coding, 54.1 to 33.2 on the Vibe Coding Index, and Qwen3.7 Plus costs 3.5x less per output token ($1.28 vs $4.425 per million). Updated October 22, 2026; 32 benchmarks have a result for both.
Qwen3.7 Max or Qwen3.7 Plus: which to pick
Pick Qwen3.7 Max for coding: it scores 54.1 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.
Pick Qwen3.7 Plus for output tokens 3.5x cheaper ($1.28 vs $4.425 per million) and work measured by Design Arena: data viz, where it leads.
- Shared results
- 32
- Qwen3.7 Max only
- 27
- Qwen3.7 Plus only
- 43
- 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
Qwen3.7 Max
Qwen3.7 Max scores 54.1 against 33.2.
3 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.7 Max
Qwen3.7 Max leads, 29.5 against 25.2.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.7 Max
Qwen3.7 Max leads, 22.5 against 17.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Qwen3.7 Max has a GPQA Diamond result, 90.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.7 Max has a MMLU Pro result, 89.3%.
Directional only
Web design
Design Arena: websites
Qwen3.7 Max
Qwen3.7 Max leads, 1274 against 1269.
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
Qwen3.7 Max $0.0037, Qwen3.7 Plus $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.7 Max has the number, $4.69.
Directional only
At a glance
- Coding index
- Qwen3.7 Max 54.1 from 3 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
- Widest category
- Math, 16.2 points apart on average over 2 shared benchmarks.
- Widest single gap
- FrontierMath, tiers 1 to 3: Qwen3.7 Max 64.6% against Qwen3.7 Plus 34.4%, 30.2 points apart on a 0 to 100 scale.
- Output price
- Qwen3.7 Max $4.425 against Qwen3.7 Plus $1.28 per million output tokens, 3.5x 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 | Qwen3.7 Max | Bars | Qwen3.7 Plus | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 6 | 0 | ||
| Reasoning | 4 | 0 | ||
| Math | 2 | 0 | ||
| Web design | 7 | 1 | ||
| General | 4 | 0 | ||
| All shared boards | 31 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
| Benchmark | Qwen3.7 Max | Qwen3.7 Plus | Leader |
|---|---|---|---|
| LMArena WebDev | 1515 | Not measured | Only Qwen3.7 Max measured |
| AA Coding Index | 66.0 | 55.9 | Qwen3.7 Max |
| LiveCodeBench (Vals AI) | 87.1% | Not measured | Only Qwen3.7 Max measured |
| SWE-bench Verified (Vals AI) | 68.8% | Not measured | Only Qwen3.7 Max measured |
| Vibe Code Bench (Vals AI) | 47.7% | 46.4% | Qwen3.7 Max |
| Code migration (Vals AI) | 13.1% | 12.9% | Qwen3.7 Max |
| Terminal-Bench 2.1 (Vals AI) | 61.0% | 52.8% | Qwen3.7 Max |
| SkillsBench (Vals AI) | Not measured | 54.3% | Only Qwen3.7 Plus measured |
| SciCode | 49.5% | 46.1% | Qwen3.7 Max |
| Terminal-Bench Hard (Artificial Analysis run) | 50.8% | 47.0% | Qwen3.7 Max |
| FrontierCode | Not measured | 10.2% | Only Qwen3.7 Plus measured |
| ALE-Bench | 1189.4 | Not measured | Only Qwen3.7 Max measured |
| LMArena Text: coding | Not measured | 1473 | Only Qwen3.7 Plus measured |
| LMArena Text: software and IT | Not measured | 1473 | Only Qwen3.7 Plus measured |
| LMArena WebDev: React | 1514 | Not measured | Only Qwen3.7 Max measured |
| LMArena WebDev: HTML | 1512 | Not measured | Only Qwen3.7 Max measured |
| Neither model has a result on the other 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Qwen3.7 Max | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.5 | 25.2 | Qwen3.7 Max |
| Epoch Capabilities Index | 154.0 | 147.0 | Qwen3.7 Max |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Qwen3.7 Max | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | 22.5 | 17.5 | Qwen3.7 Max |
| Design Arena: agents building web apps | 1208 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: agents building full-stack apps | 1191 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: agents building mobile apps | 1155 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: agents building Android apps | 1159 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: agents building Godot games | 1187 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: agents building games | 1161 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: HTML slides | 1108 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: PowerPoint slides | 1171 | Not measured | Only Qwen3.7 Max measured |
| Finance Agent (Vals AI) | 47.8% | 38.2% | Qwen3.7 Max |
| Tax Agent Bench (Vals AI) | 15.8% | 10.5% | Qwen3.7 Max |
| Legal Research Bench (Vals AI) | 25.5% | 16.4% | Qwen3.7 Max |
| Excel Modeling Benchmark (Vals AI) | 57.0% | 49.3% | Qwen3.7 Max |
| τ²-Bench Telecom | 94.7% | 93.0% | Qwen3.7 Max |
| OSWorld 2.0 | Not measured | 2.8% | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 26 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Qwen3.7 Max | Qwen3.7 Plus | Leader |
|---|---|---|---|
| GPQA Diamond | 90.2% | Not measured | Only Qwen3.7 Max measured |
| GPQA Diamond (Artificial Analysis run) | 92.3% | 90.0% | Qwen3.7 Max |
| Humanity's Last Exam (Artificial Analysis run) | 40.5% | 35.6% | Qwen3.7 Max |
| GPQA Diamond (Epoch AI run) | 90.9% | 87.9% | Qwen3.7 Max |
| SimpleBench | 70.4% | Not measured | Only Qwen3.7 Max measured |
| Chess puzzles | 26.0% | Not measured | Only Qwen3.7 Max measured |
| Mystery game puzzles | 32.0% | 17.0% | Qwen3.7 Max |
| EBR-bench | 9.5% | Not measured | Only Qwen3.7 Max measured |
| LMArena Text: hard prompts | Not measured | 1460 | Only Qwen3.7 Plus measured |
| LMArena Text: expert | Not measured | 1466 | Only Qwen3.7 Plus measured |
| LMArena Text: hard prompts in English | Not measured | 1460 | Only Qwen3.7 Plus measured |
| LMArena Vision: diagrams | Not measured | 1292 | Only Qwen3.7 Plus measured |
| LMArena Vision: homework | Not measured | 1295 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Qwen3.7 Max | Qwen3.7 Plus | Leader |
|---|---|---|---|
| OTIS Mock AIME | 95.6% | 93.3% | Qwen3.7 Max |
| FrontierMath, tiers 1 to 3 | 64.6% | 34.4% | Qwen3.7 Max |
| FrontierMath, tier 4 | 34.1% | Not measured | Only Qwen3.7 Max measured |
| ProofBench | 26.0% | Not measured | Only Qwen3.7 Max measured |
| LMArena Text: math | Not measured | 1467 | Only Qwen3.7 Plus measured |
| LMArena Text: mathematical work | Not measured | 1470 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
| Benchmark | Qwen3.7 Max | Qwen3.7 Plus | Leader |
|---|---|---|---|
| MMLU Pro | 89.3% | Not measured | Only Qwen3.7 Max measured |
| LegalBench (Vals AI) | 84.9% | Not measured | Only Qwen3.7 Max measured |
| CorpFin (Vals AI) | 63.7% | Not measured | Only Qwen3.7 Max measured |
| TaxEval (Vals AI) | 75.3% | Not measured | Only Qwen3.7 Max measured |
| MortgageTax (Vals AI) | Not measured | 66.2% | Only Qwen3.7 Plus measured |
| MedCode (Vals AI) | 38.8% | Not measured | Only Qwen3.7 Max measured |
| SimpleQA Verified | 55.8% | Not measured | Only Qwen3.7 Max measured |
| LMArena Text: science | Not measured | 1464 | Only Qwen3.7 Plus measured |
| LMArena Text: medicine and healthcare | Not measured | 1464 | Only Qwen3.7 Plus measured |
| LMArena Text: legal and government | Not measured | 1451 | Only Qwen3.7 Plus measured |
| LMArena Text: business and finance | Not measured | 1435 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | Qwen3.7 Max | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 1274 | 1269 | Qwen3.7 Max |
| Design Arena: UI components | 1267 | 1258 | Qwen3.7 Max |
| Design Arena: game dev | 1264 | 1261 | Qwen3.7 Max |
| Design Arena: data viz | 1275 | 1276 | Qwen3.7 Plus |
| Design Arena: 3D | 1265 | 1238 | Qwen3.7 Max |
| Design Arena: all code categories | 1275 | 1269 | Qwen3.7 Max |
| Design Arena: SVG | 1216 | 1208 | Qwen3.7 Max |
| Design Arena: ASCII art | 1211 | 1143 | Qwen3.7 Max |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Qwen3.7 Max | Qwen3.7 Plus | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 39.3% | Only Qwen3.7 Plus measured |
| MedScribe (Vals AI) | 79.4% | Not measured | Only Qwen3.7 Max measured |
| Vals Multimodal Index | Not measured | 53.9% | Only Qwen3.7 Plus measured |
| IFBench | 80.5% | 78.0% | Qwen3.7 Max |
| Long context reasoning (AA-LCR) | 79.0% | 73.0% | Qwen3.7 Max |
| DTBench | 92.3% | 84.0% | Qwen3.7 Max |
| LMCA | 44.0% | 37.6% | Qwen3.7 Max |
| LMArena Text | Not measured | 1454 | Only Qwen3.7 Plus measured |
| LMArena Text: instruction following | Not measured | 1439 | Only Qwen3.7 Plus measured |
| LMArena Text: creative writing | Not measured | 1438 | Only Qwen3.7 Plus measured |
| LMArena Vision | Not measured | 1278 | Only Qwen3.7 Plus measured |
| LMArena Text: English | Not measured | 1458 | Only Qwen3.7 Plus measured |
| LMArena Text: non-English | Not measured | 1445 | Only Qwen3.7 Plus measured |
| LMArena Text: Chinese | Not measured | 1509 | Only Qwen3.7 Plus measured |
| LMArena Text: German | Not measured | 1471 | Only Qwen3.7 Plus measured |
| LMArena Text: Japanese | Not measured | 1412 | Only Qwen3.7 Plus measured |
| LMArena Text: Korean | Not measured | 1413 | Only Qwen3.7 Plus measured |
| LMArena Text: French | Not measured | 1472 | Only Qwen3.7 Plus measured |
| LMArena Text: Spanish | Not measured | 1457 | Only Qwen3.7 Plus measured |
| LMArena Text: Russian | Not measured | 1457 | Only Qwen3.7 Plus measured |
| LMArena Text: Polish | Not measured | 1449 | Only Qwen3.7 Plus measured |
| LMArena Text: multi-turn | Not measured | 1459 | Only Qwen3.7 Plus measured |
| LMArena Text: longer queries | Not measured | 1454 | Only Qwen3.7 Plus measured |
| LMArena Text: writing and language | Not measured | 1437 | Only Qwen3.7 Plus measured |
| LMArena Text: entertainment and media | Not measured | 1422 | Only Qwen3.7 Plus measured |
| 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 | Not measured | 1444 | Only Qwen3.7 Plus measured |
| 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 | Qwen3.7 Max | 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 | Qwen3.7 Max | Qwen3.7 Plus |
|---|---|---|
| Maker | Qwen | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | May 21, 2026 | June 3, 2026 |
| Context window | 1M | 1M |
| Input $/Mtok | $1.475 | $0.32 |
| Output $/Mtok | $4.425 | $1.28 |
| Coding index | 54.1 | 33.2 |
| Independent measurements behind it | 3 | 2 |
| Cost per solved task | $4.69 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.7 Max better than Qwen3.7 Plus for coding?
Pick Qwen3.7 Max for coding: it scores 54.1 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for output tokens 3.5x cheaper ($1.28 vs $4.425 per million) and work measured by Design Arena: data viz, where it leads.
Which is cheaper, Qwen3.7 Max or Qwen3.7 Plus?
Qwen3.7 Max costs $1.475 per million input tokens and $4.425 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for Qwen3.7 Max only.
Which has the bigger context window, Qwen3.7 Max or Qwen3.7 Plus?
Neither: both take 1M tokens.
How many benchmarks is the Qwen3.7 Max vs Qwen3.7 Plus comparison based on?
32 benchmarks have a result for both models as of October 22, 2026. Qwen3.7 Max'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.