# Qwen3-Coder 480B-A35B Instruct vs Yi-1.5-34B

> Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 30.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/qwen3-coder-480b-a35b-instruct-vs-yi-1-5-34b
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Qwen3-Coder 480B-A35B Instruct 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-Coder 480B-A35B Instruct leads 36.4 to 14.8.

## Snapshot

| | Qwen3-Coder 480B-A35B Instruct | Yi-1.5-34B |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 37.7 | 30.2 |
| Rank | 186 | 286 |
| Context | 262K | — |
| Input $/M | $1.50 | — |
| Output $/M | $7.50 | — |
| Weights | Open | Open |

## Coding

- Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)
- Yi-1.5-34B: 31.9 (#267)

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1413 | 1169 |
| SWE-bench Verified (bash only) | 55.4% | — |
| LMArena WebDev | 1275 | — |
| GSO | 4.9% | — |
| WeirdML | 41.2% | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
| ALE-Bench | 461.45 | — |
| AlgoTune | 1.44 | — |

## Agentic & Tool Use

- Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)
- Yi-1.5-34B: —

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Yi-1.5-34B |
|---|---|---|
| Terminal-Bench | 27.2% | — |

## Reasoning

- Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)
- Yi-1.5-34B: 21.5 (#195)

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1372 | 1160 |
| Kagi LLM Benchmark | 49.5% | — |

## Math

- Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)
- Yi-1.5-34B: 25.3 (#248)

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1364 | 1182 |
| MATH Level 5 | — | 25.5% |

## Knowledge

- Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)
- Yi-1.5-34B: 14.8 (#290)

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Expert | 1337 | 1144 |
| GPQA Diamond | — | 32% |

## Multilingual

- Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)
- Yi-1.5-34B: 32.5 (#251)

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1345 | 1121 |
| LMArena Chinese | 1356 | 1213 |
| LMArena French | 1394 | 1155 |
| LMArena German | 1324 | 1111 |
| LMArena Japanese | 1309 | 1021 |
| LMArena Korean | 1307 | 1005 |
| LMArena Russian | 1367 | 1091 |
| LMArena Spanish | 1360 | 1120 |

## Instruction Following

- Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)
- Yi-1.5-34B: 59.4 (#252)

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1356 | 1139 |

## Long Context

- Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)
- Yi-1.5-34B: 34.6 (#243)

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1379 | 1144 |

## Writing & Preference

- Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)
- Yi-1.5-34B: 37.6 (#252)

| Benchmark | Qwen3-Coder 480B-A35B Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1356 | 1173 |
| LMArena Creative Writing | 1333 | 1135 |
| LMArena Multi-Turn | 1365 | 1153 |

## FAQ

### Is Qwen3-Coder 480B-A35B Instruct better than Yi-1.5-34B?

Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 30.2 on the Noometry Index.

### Is Qwen3-Coder 480B-A35B Instruct or Yi-1.5-34B better for coding?

Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 36.2 versus 31.9 in the Noometry coding category.

### How many benchmarks do Qwen3-Coder 480B-A35B Instruct and Yi-1.5-34B share?

17 benchmarks have published results for both models. Qwen3-Coder 480B-A35B Instruct has 25 scored results on Noometry and Yi-1.5-34B has 21.