# GPT-4.5 vs Qwen3-Coder 480B-A35B Instruct

> GPT-4.5 and Qwen3-Coder 480B-A35B Instruct score almost the same on the Noometry Index (36.9 vs 37.7), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gpt-4-5-vs-qwen3-coder-480b-a35b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GPT-4.5 scores higher in 5 categories and Qwen3-Coder 480B-A35B Instruct in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-Coder 480B-A35B Instruct leads 24.7 to 14.1.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 36.9 | 37.7 |
| Rank | 200 | 186 |
| Context | — | 262K |
| Input $/M | — | $1.50 |
| Output $/M | — | $7.50 |
| Weights | Proprietary | Open |

## Coding

- GPT-4.5: 41.8 (#102)
- Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)

| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| WeirdML | 39.4% | 41.2% |
| LMArena Coding | 1397 | 1413 |
| SWE-bench Verified (bash only) | — | 55.4% |
| Aider Polyglot | 44.9% | — |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| LiveBench Coding | 75.2% | — |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |

## Agentic & Tool Use

- GPT-4.5: 27.6 (#92)
- Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)

| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| Cybench | 17.5% | — |

## Reasoning

- GPT-4.5: 14.1 (#320)
- Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)

| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1404 | 1372 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| Kagi LLM Benchmark | — | 49.5% |
| ARC-AGI-1 | 10.3% | — |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| LiveBench Data Analysis | 64.3% | — |
| Epoch Capabilities Index | 136.74 | — |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |

## Math

- GPT-4.5: 31.0 (#200)
- Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)

| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1412 | 1364 |
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| LiveBench Math | 69.3% | — |
| MATH Level 5 | 78.6% | — |

## Knowledge

- GPT-4.5: 32.4 (#205)
- Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)

| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1394 | 1337 |
| GPQA Diamond | 68.7% | — |
| Humanity's Last Exam | 5.4% | — |
| Confabulations | 13.6% | — |

## Multimodal

- GPT-4.5: 37.0 (#68)
- Qwen3-Coder 480B-A35B Instruct: —

| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |

## Multilingual

- GPT-4.5: 52.7 (#78)
- Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)

| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1413 | 1345 |
| LMArena Chinese | 1421 | 1356 |
| LMArena French | 1417 | 1394 |
| LMArena German | 1457 | 1324 |
| LMArena Japanese | 1416 | 1309 |
| LMArena Korean | 1392 | 1307 |
| LMArena Russian | 1419 | 1367 |
| LMArena Spanish | — | 1360 |

## Instruction Following

- GPT-4.5: 72.8 (#129)
- Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)

| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1404 | 1356 |
| LiveBench Instruction Following | 72.3% | — |

## Long Context

- GPT-4.5: 40.4 (#150)
- Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)

| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1406 | 1379 |
| Fiction.LiveBench | 63.9% | — |

## Writing & Preference

- GPT-4.5: 57.1 (#129)
- Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)

| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1417 | 1356 |
| LMArena Creative Writing | 1394 | 1333 |
| LMArena Multi-Turn | 1444 | 1365 |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| LiveBench Language | 61.5% | — |

## FAQ

### Is GPT-4.5 better than Qwen3-Coder 480B-A35B Instruct?

GPT-4.5 and Qwen3-Coder 480B-A35B Instruct score almost the same on the Noometry Index (36.9 vs 37.7), so choose on price, context window or the category you care about most.

### Is GPT-4.5 or Qwen3-Coder 480B-A35B Instruct better for coding?

GPT-4.5 scores higher on coding benchmarks: 41.8 versus 36.2 in the Noometry coding category.

### How many benchmarks do GPT-4.5 and Qwen3-Coder 480B-A35B Instruct share?

17 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.