# Qwen3.7 Max vs Qwen3-Coder 480B-A35B Instruct

> Qwen3.7 Max is the stronger model overall, scoring 51.4 to 37.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/qwen3-7-max-vs-qwen3-coder-480b-a35b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 14

## 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 62.3 to 34.9.
- 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.

## Snapshot

| | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 51.4 | 37.7 |
| Rank | 35 | 186 |
| Context | 1M | 262K |
| Input $/M | $2.50 | $1.50 |
| Output $/M | $7.50 | $7.50 |
| Weights | Proprietary | Open |

## Coding

- Qwen3.7 Max: 50.2 (#43)
- Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)

| Benchmark | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1515 | 1275 |
| LMArena Coding | 1498 | 1413 |
| 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

- Qwen3.7 Max: 21.8 (#129)
- Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)

| Benchmark | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| GBAEval | 0.4% | — |

## Reasoning

- Qwen3.7 Max: 48.4 (#36)
- Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)

| 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 | 153.74 | — |

## Math

- Qwen3.7 Max: 62.3 (#26)
- Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)

| Benchmark | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1488 | 1364 |
| FrontierMath (Tiers 1-3) | 64.6% | — |
| FrontierMath Tier 4 | 34.1% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 26% | — |

## Knowledge

- Qwen3.7 Max: 61.7 (#24)
- Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)

| Benchmark | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1488 | 1337 |
| GPQA Diamond | 90.9% | — |
| SimpleQA Verified | 55.8% | — |

## Multilingual

- Qwen3.7 Max: 57.1 (#13)
- Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)

| Benchmark | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1475 | 1345 |
| LMArena Chinese | 1533 | 1356 |
| LMArena Russian | 1482 | 1367 |
| LMArena French | — | 1394 |
| LMArena German | — | 1324 |
| LMArena Japanese | — | 1309 |
| LMArena Korean | — | 1307 |
| LMArena Spanish | — | 1360 |

## Instruction Following

- Qwen3.7 Max: 76.9 (#34)
- Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)

| Benchmark | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1460 | 1356 |

## Long Context

- Qwen3.7 Max: 45.4 (#34)
- Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)

| Benchmark | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1484 | 1379 |

## Writing & Preference

- Qwen3.7 Max: 65.2 (#52)
- Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)

| Benchmark | Qwen3.7 Max | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1476 | 1356 |
| LMArena Creative Writing | 1450 | 1333 |
| LMArena Multi-Turn | 1482 | 1365 |
| EQ-Bench 4 | 1110 | — |

## FAQ

### Is Qwen3.7 Max better than Qwen3-Coder 480B-A35B Instruct?

Qwen3.7 Max is the stronger model overall, scoring 51.4 to 37.7 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: 50.2 versus 36.2 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.