Model comparison
Qwen3.7 Max vs Qwen3-Coder 480B-A35B Instruct
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 38.1 on the Noometry Index.
Last verified . 14 shared benchmarks.
Alibaba (Qwen)Summary
- They share 14 benchmarks with published results for both. Qwen3.7 Max scores higher in 8 categories and Qwen3-Coder 480B-A35B Instruct in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.7 Max leads 62.4 to 37.6.
- Qwen3-Coder 480B-A35B Instruct is cheaper at $1.50 / $7.50 per million input/output tokens, against $2.50 / $7.50 for Qwen3.7 Max.
- Qwen3.7 Max accepts more context: 1M tokens versus 262K.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.
Side by side
| Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 51.5 | 38.1 |
| Released | 2026-05-19 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 131K | 66K |
| Input $ / M tokens | $2.50 | $1.50 |
| Output $ / M tokens | $7.50 | $7.50 |
| Results tracked | 33 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.7 Max leads
Qwen3.7 Max: 50.4 (#45), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1515 | 1275 |
| LMArena Coding | 1498 | 1412 |
| ALE-Bench | 1,189 | 461.45 |
| SWE-bench Verified | 77.3% | — |
| SWE-bench Verified (bash only) | — | 55.4% |
| SciCode | 48.8% | — |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Qwen3-Coder 480B-A35B Instruct leads
Qwen3.7 Max: 22.1 (#135), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| GBAEval | 0.4% | — |
Reasoning Qwen3.7 Max leads
Qwen3.7 Max: 49.2 (#38), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1483 | 1372 |
| SimpleBench | 70.4% | — |
| Kagi LLM Benchmark | — | 49.5% |
| NYT Connections (extended) | 85.1% | — |
| CritPt | 13.4% | — |
| Chess Puzzles | 19% | — |
| EBR-Bench | 9.5% | — |
| Mystery Game Puzzles | 32% | — |
| DTBench | 92.3% | — |
| LMCA | 44% | — |
| Epoch Capabilities Index | 153.68 | — |
Math Qwen3.7 Max leads
Qwen3.7 Max: 62.4 (#32), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1490 | 1365 |
| FrontierMath (Tiers 1-3) | 64.6% | — |
| FrontierMath Tier 4 | 34.1% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 26% | — |
Knowledge Qwen3.7 Max leads
Qwen3.7 Max: 61.6 (#28), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1488 | 1338 |
| GPQA Diamond | 90.9% | — |
| SimpleQA Verified | 55.8% | — |
Multilingual Qwen3.7 Max leads
Qwen3.7 Max: 56.9 (#15), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1474 | 1346 |
| LMArena Chinese | 1530 | 1357 |
| LMArena Russian | 1484 | 1366 |
| LMArena French | — | 1398 |
| LMArena German | — | 1325 |
| LMArena Japanese | — | 1310 |
| LMArena Korean | — | 1305 |
| LMArena Spanish | — | 1360 |
Instruction Following Qwen3.7 Max leads
Qwen3.7 Max: 76.7 (#38), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1460 | 1355 |
Long Context Qwen3.7 Max leads
Qwen3.7 Max: 45.4 (#40), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1482 | 1378 |
Writing & Preference Qwen3.7 Max leads
Qwen3.7 Max: 65.0 (#54), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1476 | 1357 |
| LMArena Creative Writing | 1449 | 1333 |
| LMArena Multi-Turn | 1481 | 1365 |
| EQ-Bench 4 | 1110 | — |
Frequently asked questions
Is Qwen3.7 Max better than Qwen3-Coder 480B-A35B Instruct?
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 38.1 on the Noometry Index.
Which is cheaper, Qwen3.7 Max or Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; Qwen3.7 Max lists at $2.50 and $7.50.
Is Qwen3.7 Max or Qwen3-Coder 480B-A35B Instruct better for coding?
Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 35.5 in the Noometry coding category.
Which has the bigger context window?
Qwen3.7 Max does, with 1M tokens against 262K.
How many benchmarks do Qwen3.7 Max and Qwen3-Coder 480B-A35B Instruct share?
14 benchmarks have published results for both models. Qwen3.7 Max has 33 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.