# Qwen3.7 Max vs Yi-1.5-34B

> Qwen3.7 Max is the stronger model overall, scoring 51.5 to 30.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/qwen3-7-max-vs-yi-1-5-34b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Qwen3.7 Max scores higher in 8 categories and Yi-1.5-34B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Max leads 61.6 to 14.8.
- The biggest single-benchmark swing is GPQA Diamond: 90.9% for Qwen3.7 Max and 32% for Yi-1.5-34B.
- Yi-1.5-34B has downloadable open weights; the other is API-only.

## Snapshot

| | Qwen3.7 Max | Yi-1.5-34B |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 51.5 | 30.6 |
| Rank | 42 | 289 |
| Context | 1M | — |
| Input $/M | $2.50 | — |
| Output $/M | $7.50 | — |
| Weights | Proprietary | Open |

## Coding

- Qwen3.7 Max: 50.4 (#45)
- Yi-1.5-34B: 32.4 (#272)

| Benchmark | Qwen3.7 Max | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1498 | 1169 |
| SWE-bench Verified | 77.3% | — |
| LMArena WebDev | 1515 | — |
| SciCode | 48.8% | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
| ALE-Bench | 1,189 | — |

## Agentic & Tool Use

- Qwen3.7 Max: 22.1 (#135)
- Yi-1.5-34B: —

| Benchmark | Qwen3.7 Max | Yi-1.5-34B |
|---|---|---|
| GBAEval | 0.4% | — |

## Reasoning

- Qwen3.7 Max: 49.2 (#38)
- Yi-1.5-34B: 22.5 (#191)

| Benchmark | Qwen3.7 Max | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1483 | 1160 |
| SimpleBench | 70.4% | — |
| 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: 62.4 (#32)
- Yi-1.5-34B: 27.5 (#249)

| Benchmark | Qwen3.7 Max | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1490 | 1182 |
| FrontierMath (Tiers 1-3) | 64.6% | — |
| FrontierMath Tier 4 | 34.1% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 26% | — |
| MATH Level 5 | — | 25.5% |

## Knowledge

- Qwen3.7 Max: 61.6 (#28)
- Yi-1.5-34B: 14.8 (#295)

| Benchmark | Qwen3.7 Max | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 90.9% | 32% |
| LMArena Expert | 1488 | 1144 |
| SimpleQA Verified | 55.8% | — |

## Multilingual

- Qwen3.7 Max: 56.9 (#15)
- Yi-1.5-34B: 32.3 (#256)

| Benchmark | Qwen3.7 Max | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1474 | 1121 |
| LMArena Chinese | 1530 | 1213 |
| LMArena Russian | 1484 | 1091 |
| LMArena French | — | 1156 |
| LMArena German | — | 1111 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
| LMArena Spanish | — | 1121 |

## Instruction Following

- Qwen3.7 Max: 76.7 (#38)
- Yi-1.5-34B: 59.2 (#257)

| Benchmark | Qwen3.7 Max | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1460 | 1139 |

## Long Context

- Qwen3.7 Max: 45.4 (#40)
- Yi-1.5-34B: 34.6 (#248)

| Benchmark | Qwen3.7 Max | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1482 | 1143 |

## Writing & Preference

- Qwen3.7 Max: 65.0 (#54)
- Yi-1.5-34B: 37.4 (#257)

| Benchmark | Qwen3.7 Max | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1476 | 1173 |
| LMArena Creative Writing | 1449 | 1135 |
| LMArena Multi-Turn | 1481 | 1153 |
| EQ-Bench 4 | 1110 | — |

## FAQ

### Is Qwen3.7 Max better than Yi-1.5-34B?

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 30.6 on the Noometry Index.

### Is Qwen3.7 Max or Yi-1.5-34B better for coding?

Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 32.4 in the Noometry coding category.

### How many benchmarks do Qwen3.7 Max and Yi-1.5-34B share?

13 benchmarks have published results for both models. Qwen3.7 Max has 33 scored results on Noometry and Yi-1.5-34B has 21.