Qwen3.7 Max vs Qwen3 Coder Next
Updated October 21, 2026. 10 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Only Qwen3.7 Max has a coding score, 54.1 on the Vibe Coding Index; Qwen3 Coder Next has none, so the two cannot be ranked on coding.
Qwen3 Coder Next has the edge where output tokens cost 5.5x less.
- Shared results
- 10
- Qwen3.7 Max only
- 49
- Qwen3 Coder Next only
- 1
- Like-for-like categories
- 5 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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 Qwen3.7 Max has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Qwen3.7 Max
Qwen3.7 Max leads, 29.5 against 9.2.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.7 Max
Qwen3.7 Max leads, 22.5 against 0.9.
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
No call
Only Qwen3.7 Max has a Design Arena: websites result, 1274.
Directional only
Long documents
Listed context window
Qwen3.7 Max
Qwen3.7 Max takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 Coder Next
Qwen3.7 Max $0.0037, Qwen3 Coder Next $0.0005 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 Coder Next not benchmarked.
- Widest category
- General, 38.7 points apart on average over 2 shared benchmarks.
- Widest single gap
- IFBench: Qwen3.7 Max 80.5% against Qwen3 Coder Next 35.2%, 45.3 points apart on a 0 to 100 scale.
- Output price
- Qwen3.7 Max $4.425 against Qwen3 Coder Next $0.80 per million output tokens, 5.5x apart.
- Context window
- Qwen3.7 Max takes 1M tokens, Qwen3 Coder Next 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 | Qwen3.7 Max | Bars | Qwen3 Coder Next | Ties |
|---|---|---|---|---|
| Coding | 3 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 2 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 10 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
| Benchmark | Qwen3.7 Max | Qwen3 Coder Next | Leader |
|---|---|---|---|
| LMArena WebDev | 1515 | Not measured | Only Qwen3.7 Max measured |
| AA Coding Index | 66.0 | 36.2 | 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% | Not measured | Only Qwen3.7 Max measured |
| Code migration (Vals AI) | 13.1% | Not measured | Only Qwen3.7 Max measured |
| Terminal-Bench 2.1 (Vals AI) | 61.0% | Not measured | Only Qwen3.7 Max measured |
| SciCode | 49.5% | 36.2% | Qwen3.7 Max |
| Terminal-Bench Hard (Artificial Analysis run) | 50.8% | 18.2% | Qwen3.7 Max |
| WeirdML | Not measured | 34.4% | Only Qwen3 Coder Next measured |
| ALE-Bench | 1189.4 | Not measured | Only Qwen3.7 Max 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 25 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Qwen3.7 Max | Qwen3 Coder Next | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.5 | 9.2 | Qwen3.7 Max |
| Epoch Capabilities Index | 154.0 | Not measured | Only Qwen3.7 Max measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Qwen3.7 Max | Qwen3 Coder Next | Leader |
|---|---|---|---|
| AA Agentic Index | 22.5 | 0.9 | 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 | 1153 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: agents building Android apps | 1165 | 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 | 1158 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: PowerPoint slides | 1196 | Not measured | Only Qwen3.7 Max measured |
| Finance Agent (Vals AI) | 47.8% | Not measured | Only Qwen3.7 Max measured |
| Tax Agent Bench (Vals AI) | 15.8% | Not measured | Only Qwen3.7 Max measured |
| Legal Research Bench (Vals AI) | 25.5% | Not measured | Only Qwen3.7 Max measured |
| Excel Modeling Benchmark (Vals AI) | 57.0% | Not measured | Only Qwen3.7 Max measured |
| τ²-Bench Telecom | 94.7% | 79.5% | Qwen3.7 Max |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Qwen3.7 Max | Qwen3 Coder Next | Leader |
|---|---|---|---|
| GPQA Diamond | 90.2% | Not measured | Only Qwen3.7 Max measured |
| GPQA Diamond (Artificial Analysis run) | 92.3% | 73.7% | Qwen3.7 Max |
| Humanity's Last Exam (Artificial Analysis run) | 40.5% | 10.1% | Qwen3.7 Max |
| GPQA Diamond (Epoch AI run) | 90.9% | Not measured | Only Qwen3.7 Max measured |
| 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% | Not measured | Only Qwen3.7 Max measured |
| EBR-bench | 9.5% | Not measured | Only Qwen3.7 Max measured |
| Neither model has a result on the other 13 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Qwen3.7 Max | Qwen3 Coder Next | Leader |
|---|---|---|---|
| OTIS Mock AIME | 95.6% | Not measured | Only Qwen3.7 Max measured |
| FrontierMath, tiers 1 to 3 | 64.6% | Not measured | Only Qwen3.7 Max measured |
| FrontierMath, tier 4 | 34.1% | Not measured | Only Qwen3.7 Max measured |
| ProofBench | 26.0% | Not measured | Only Qwen3.7 Max measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Qwen3.7 Max | Qwen3 Coder Next | 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 |
| MedCode (Vals AI) | 38.8% | Not measured | Only Qwen3.7 Max measured |
| SimpleQA Verified | 55.8% | Not measured | Only Qwen3.7 Max measured |
| Neither model has a result on the other 11 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Qwen3.7 Max | Qwen3 Coder Next | Leader |
|---|---|---|---|
| Design Arena: websites | 1274 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: UI components | 1270 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: game dev | 1265 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: data viz | 1275 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: 3D | 1266 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: all code categories | 1275 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: SVG | 1217 | Not measured | Only Qwen3.7 Max measured |
| Design Arena: ASCII art | 1211 | Not measured | 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 index20
| Benchmark | Qwen3.7 Max | Qwen3 Coder Next | Leader |
|---|---|---|---|
| MedScribe (Vals AI) | 79.4% | Not measured | Only Qwen3.7 Max measured |
| IFBench | 80.5% | 35.2% | Qwen3.7 Max |
| Long context reasoning (AA-LCR) | 79.0% | 47.0% | Qwen3.7 Max |
| DTBench | 92.3% | Not measured | Only Qwen3.7 Max measured |
| LMCA | 44.0% | Not measured | Only Qwen3.7 Max measured |
| Neither model has a result on the other 41 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.7 Max | Qwen3 Coder Next | 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 Coder Next costs less
Repository review
50K input + 3K output tokens
Qwen3 Coder Next costs less
Agent loop
200K input + 10K output tokens
Qwen3 Coder Next 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 Coder Next |
|---|---|---|
| Maker | Qwen | Qwen |
| Weights | No public weights listed | Open weights |
| Released | May 21, 2026 | February 4, 2026 |
| Context window | 1M | 262K |
| Input $/Mtok | $1.475 | $0.12 |
| Output $/Mtok | $4.425 | $0.80 |
| Coding index | 54.1 | Not benchmarked |
| Independent measurements behind it | 3 | 0 |
| Cost per solved task | $4.69 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.7 Max better than Qwen3 Coder Next for coding?
Only Qwen3.7 Max has a coding score, 54.1 on the Vibe Coding Index; Qwen3 Coder Next has none, so the two cannot be ranked on coding. Qwen3 Coder Next has the edge where output tokens cost 5.5x less.
Which is cheaper, Qwen3.7 Max or Qwen3 Coder Next?
Qwen3.7 Max costs $1.475 per million input tokens and $4.425 per million output tokens; Qwen3 Coder Next costs $0.12 and $0.80. Cost per solved task is known for Qwen3.7 Max only.
Which has the bigger context window, Qwen3.7 Max or Qwen3 Coder Next?
Qwen3.7 Max, with 1M tokens against 262K.
How many benchmarks is the Qwen3.7 Max vs Qwen3 Coder Next comparison based on?
10 benchmarks have a result for both models as of October 21, 2026. Qwen3.7 Max's coding index rests on 3 independent benchmarks and Qwen3 Coder Next's on 0. Where only one model has a result, the page says so instead of naming a winner.