Model comparison
GPT-5.4 Pro vs Qwen2.5-Coder-32B
GPT-5.4 Pro is the stronger model overall, scoring 58.9 to 33.4 on the Noometry Index. Qwen2.5-Coder-32B costs 91× less per token, which makes it the better buy when GPT-5.4 Pro's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. GPT-5.4 Pro scores higher in 4 categories and Qwen2.5-Coder-32B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.4 Pro leads 70.7 to 21.2.
- Qwen2.5-Coder-32B is cheaper at $0.66 / $1 per million input/output tokens, against $30 / $180 for GPT-5.4 Pro.
- GPT-5.4 Pro accepts more context: 1.05M tokens versus 33K.
- Qwen2.5-Coder-32B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 Pro | Qwen2.5-Coder-32B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 58.9 | 33.4 |
| Released | 2026-03-05 | 2024-09-18 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 33K |
| Max output | 128K | 29K |
| Input $ / M tokens | $30 | $0.66 |
| Output $ / M tokens | $180 | $1 |
| Results tracked | 16 | 31 |
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Category by category
Coding GPT-5.4 Pro leads
GPT-5.4 Pro: 43.2 (#90), Qwen2.5-Coder-32B: 22.6 (#333)
| Benchmark | GPT-5.4 Pro | Qwen2.5-Coder-32B |
|---|---|---|
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| WeirdML | 57.4% | — |
| BigCodeBench Instruct | — | 49% |
| LiveBench Coding | — | 56.9% |
| LMArena Coding | — | 1276 |
| BigCodeBench Complete | — | 58% |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |
Reasoning GPT-5.4 Pro leads
GPT-5.4 Pro: 70.7 (#13), Qwen2.5-Coder-32B: 21.2 (#225)
| Benchmark | GPT-5.4 Pro | Qwen2.5-Coder-32B |
|---|---|---|
| Epoch Capabilities Index | 158.93 | 119.49 |
| ARC-AGI-2 | 83.3% | — |
| SimpleBench | 74.1% | — |
| ARC-AGI-1 | 94.5% | — |
| CritPt | 30% | — |
| Chess Puzzles | 58.6% | — |
| EnigmaEval | 23.8% | — |
| LiveBench Reasoning | — | 42.1% |
| LMArena Hard Prompts | — | 1251 |
| LiveBench Data Analysis | — | 49.9% |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |
Math GPT-5.4 Pro leads
GPT-5.4 Pro: 72.4 (#22), Qwen2.5-Coder-32B: 33.3 (#204)
| Benchmark | GPT-5.4 Pro | Qwen2.5-Coder-32B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 82.5% | — |
| FrontierMath Tier 4 | 58.5% | — |
| LiveBench Math | — | 46.6% |
| LMArena Math | — | 1251 |
| FrontierMath (Feb 2025 set) | 50% | — |
| FrontierMath Tier 4 (v1) | 37.5% | — |
| GSM8K | — | 93% |
Knowledge GPT-5.4 Pro leads
GPT-5.4 Pro: 68.3 (#7), Qwen2.5-Coder-32B: 33.4 (#203)
| Benchmark | GPT-5.4 Pro | Qwen2.5-Coder-32B |
|---|---|---|
| GPQA Diamond | 94.6% | — |
| Humanity's Last Exam | 44.3% | — |
| SimpleQA Verified | 46.3% | — |
| Vectara Hallucination Rate | 8.3% | — |
| LMArena Expert | — | 1221 |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |
Multilingual Not comparable
GPT-5.4 Pro: —, Qwen2.5-Coder-32B: 37.8 (#235)
| Benchmark | GPT-5.4 Pro | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | — | 1205 |
| LMArena Chinese | — | 1222 |
| LMArena Russian | — | 1228 |
Instruction Following Not comparable
GPT-5.4 Pro: —, Qwen2.5-Coder-32B: 61.4 (#245)
| Benchmark | GPT-5.4 Pro | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Instruction Following | — | 58.7% |
| LMArena Instruction Following | — | 1223 |
Long Context Not comparable
GPT-5.4 Pro: —, Qwen2.5-Coder-32B: 38.0 (#208)
| Benchmark | GPT-5.4 Pro | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | — | 1251 |
Writing & Preference Not comparable
GPT-5.4 Pro: —, Qwen2.5-Coder-32B: 41.6 (#240)
| Benchmark | GPT-5.4 Pro | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | — | 1230 |
| LMArena Creative Writing | — | 1174 |
| LMArena Multi-Turn | — | 1222 |
| LiveBench Language | — | 23.3% |
Frequently asked questions
Is GPT-5.4 Pro better than Qwen2.5-Coder-32B?
GPT-5.4 Pro is the stronger model overall, scoring 58.9 to 33.4 on the Noometry Index. Qwen2.5-Coder-32B costs 91× less per token, which makes it the better buy when GPT-5.4 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.4 Pro or Qwen2.5-Coder-32B?
Qwen2.5-Coder-32B is cheaper. It lists at $0.66 per million input tokens and $1 per million output tokens; GPT-5.4 Pro lists at $30 and $180.
Is GPT-5.4 Pro or Qwen2.5-Coder-32B better for coding?
GPT-5.4 Pro scores higher on coding benchmarks: 43.2 versus 22.6 in the Noometry coding category.
Which has the bigger context window?
GPT-5.4 Pro does, with 1.05M tokens against 33K.
How many benchmarks do GPT-5.4 Pro and Qwen2.5-Coder-32B share?
1 benchmark has published results for both models. GPT-5.4 Pro has 16 scored results on Noometry and Qwen2.5-Coder-32B has 31.