Model comparison
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 (37.2 vs 38.1), so choose on price, context window or the category you care about most.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)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; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-Coder 480B-A35B Instruct leads 25.5 to 13.9.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-4.5 | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 37.2 | 38.1 |
| Released | 2025-02-27 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 42 | 25 |
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Category by category
Coding GPT-4.5 leads
GPT-4.5: 42.2 (#109), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| WeirdML | 39.4% | 41.2% |
| LMArena Coding | 1396 | 1412 |
| 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 leads
GPT-4.5: 27.9 (#97), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| Cybench | 17.5% | — |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
GPT-4.5: 13.9 (#330), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1403 | 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 Qwen3-Coder 480B-A35B Instruct leads
GPT-4.5: 32.6 (#211), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1412 | 1365 |
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| LiveBench Math | 69.3% | — |
| MATH Level 5 | 78.6% | — |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
GPT-4.5: 32.5 (#211), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1394 | 1338 |
| GPQA Diamond | 68.7% | — |
| Humanity's Last Exam | 5.4% | — |
| Confabulations | 13.6% | — |
Multimodal Not comparable
GPT-4.5: 37.6 (#71), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual GPT-4.5 leads
GPT-4.5: 52.5 (#83), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1413 | 1346 |
| LMArena Chinese | 1421 | 1357 |
| LMArena French | 1418 | 1398 |
| LMArena German | 1457 | 1325 |
| LMArena Japanese | 1416 | 1310 |
| LMArena Korean | 1392 | 1305 |
| LMArena Russian | 1419 | 1366 |
| LMArena Spanish | — | 1360 |
Instruction Following GPT-4.5 leads
GPT-4.5: 72.6 (#134), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1404 | 1355 |
| LiveBench Instruction Following | 72.3% | — |
Long Context Qwen3-Coder 480B-A35B Instruct leads
GPT-4.5: 40.4 (#155), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1406 | 1378 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference GPT-4.5 leads
GPT-4.5: 56.9 (#134), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | GPT-4.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1417 | 1357 |
| 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% | — |
Frequently asked questions
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 (37.2 vs 38.1), 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: 42.2 versus 35.5 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.