Model comparison
GPT-5.2 Pro vs Qwen3-Next 80B-A3B Instruct
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 43.0 on the Noometry Index. Qwen3-Next 80B-A3B Instruct costs 66× 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 math, where GPT-5.2 Pro leads 65.3 to 38.8.
- Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- GPT-5.2 Pro accepts more context: 400K tokens versus 131K.
- Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Pro | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 52.3 | 43.0 |
| Released | 2025-12-11 | 2025-09 |
| Weights | Proprietary | Open |
| Context window | 400K | 131K |
| Max output | 128K | 33K |
| Input $ / M tokens | $21 | $0.50 |
| Output $ / M tokens | $168 | $2 |
| Results tracked | 8 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
GPT-5.2 Pro: —, Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | GPT-5.2 Pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | — | 1440 |
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.5 (#33), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | GPT-5.2 Pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| ARC-AGI-2 | 54.2% | — |
| SimpleBench | 57.4% | — |
| Kagi LLM Benchmark | — | 66.7% |
| NYT Connections (extended) | 79.3% | — |
| ARC-AGI-1 | 90.5% | — |
| LMArena Hard Prompts | — | 1428 |
| Epoch Capabilities Index | 155.4 | — |
Math GPT-5.2 Pro leads
GPT-5.2 Pro: 65.3 (#29), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | GPT-5.2 Pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| Omni-MATH | — | 46.7% |
| LMArena Math | — | 1440 |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Not comparable
GPT-5.2 Pro: —, Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | GPT-5.2 Pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1417 |
Multilingual Not comparable
GPT-5.2 Pro: —, Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | GPT-5.2 Pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | — | 1407 |
| LMArena Chinese | — | 1460 |
| LMArena French | — | 1413 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1395 |
| LMArena Korean | — | 1364 |
| LMArena Russian | — | 1404 |
| LMArena Spanish | — | 1435 |
Instruction Following Not comparable
GPT-5.2 Pro: —, Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | GPT-5.2 Pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | — | 81% |
| LMArena Instruction Following | — | 1389 |
Long Context Not comparable
GPT-5.2 Pro: —, Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | GPT-5.2 Pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | — | 55.6% |
| LMArena Longer Query | — | 1403 |
Writing & Preference Not comparable
GPT-5.2 Pro: —, Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | GPT-5.2 Pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1334 |
| WildBench | — | 80.7% |
| LMArena Multi-Turn | — | 1416 |
Frequently asked questions
Is GPT-5.2 Pro better than Qwen3-Next 80B-A3B Instruct?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 43.0 on the Noometry Index. Qwen3-Next 80B-A3B Instruct costs 66× 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-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is cheaper. It lists at $0.50 per million input tokens and $2 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 131K.
How many benchmarks do GPT-5.2 Pro and Qwen3-Next 80B-A3B Instruct share?
0 benchmarks have published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.