Model comparison
GPT-5.2 Pro vs Qwen3 Coder Next
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 33.8 on the Noometry Index. Qwen3 Coder Next costs 199× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where GPT-5.2 Pro leads 51.8 to 21.7.
- Qwen3 Coder Next is cheaper at $0.12 / $0.80 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- GPT-5.2 Pro accepts more context: 400K tokens versus 262K.
- Qwen3 Coder Next has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Pro | Qwen3 Coder Next | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 52.2 | 33.8 |
| Released | 2025-12-11 | 2026-02-02 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $21 | $0.12 |
| Output $ / M tokens | $168 | $0.80 |
| Results tracked | 8 | 3 |
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Category by category
Coding Not comparable
GPT-5.2 Pro: —, Qwen3 Coder Next: 35.8 (#206)
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.8 (#31), Qwen3 Coder Next: 21.7 (#191)
| Benchmark | GPT-5.2 Pro | Qwen3 Coder Next |
|---|---|---|
| ARC-AGI-2 | 54.2% | — |
| SimpleBench | 57.4% | — |
| NYT Connections (extended) | 79.3% | — |
| ARC-AGI-1 | 90.5% | — |
| CritPt | — | 0% |
| Epoch Capabilities Index | 155.41 | — |
Math Not comparable
GPT-5.2 Pro: 64.8 (#23), Qwen3 Coder Next: —
| Benchmark | GPT-5.2 Pro | Qwen3 Coder Next |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Frequently asked questions
Is GPT-5.2 Pro better than Qwen3 Coder Next?
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 33.8 on the Noometry Index. Qwen3 Coder Next costs 199× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.2 Pro or Qwen3 Coder Next?
Qwen3 Coder Next is cheaper. It lists at $0.12 per million input tokens and $0.80 per million output tokens; GPT-5.2 Pro lists at $21 and $168.
Which has the bigger context window?
GPT-5.2 Pro does, with 400K tokens against 262K.
How many benchmarks do GPT-5.2 Pro and Qwen3 Coder Next share?
0 benchmarks have published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Qwen3 Coder Next has 3.