Model comparison
GPT-5 Pro vs Qwen3-Next 80B-A3B Instruct
GPT-5 Pro is the stronger model overall, scoring 46.2 to 42.5 on the Noometry Index. Qwen3-Next 80B-A3B Instruct costs 47× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. GPT-5 Pro scores higher in 4 categories and Qwen3-Next 80B-A3B Instruct in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Pro leads 56.2 to 41.3.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 76.8% for GPT-5 Pro and 66.7% for Qwen3-Next 80B-A3B Instruct.
- Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 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 Pro | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 46.2 | 42.5 |
| Released | 2025-10-06 | 2025-09 |
| Weights | Proprietary | Open |
| Context window | 400K | 131K |
| Max output | 272K | 33K |
| Input $ / M tokens | $15 | $0.50 |
| Output $ / M tokens | $120 | $2 |
| Results tracked | 12 | 25 |
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Category by category
Coding GPT-5 Pro leads
GPT-5 Pro: 43.4 (#77), Qwen3-Next 80B-A3B Instruct: 41.9 (#101)
| Benchmark | GPT-5 Pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| WeirdML | 60.4% | — |
| LMArena Coding | — | 1441 |
| AlgoTune | 1.31 | — |
Reasoning GPT-5 Pro leads
GPT-5 Pro: 39.2 (#52), Qwen3-Next 80B-A3B Instruct: 30.1 (#79)
| Benchmark | GPT-5 Pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 76.8% | 66.7% |
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| ARC-AGI-1 | 70.2% | — |
| EnigmaEval | 18.8% | — |
| LMArena Hard Prompts | — | 1428 |
| Epoch Capabilities Index | 150.26 | — |
Math GPT-5 Pro leads
GPT-5 Pro: 48.0 (#53), Qwen3-Next 80B-A3B Instruct: 36.3 (#118)
| Benchmark | GPT-5 Pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| Omni-MATH | — | 46.7% |
| LMArena Math | — | 1440 |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge GPT-5 Pro leads
GPT-5 Pro: 56.2 (#39), Qwen3-Next 80B-A3B Instruct: 41.3 (#102)
| Benchmark | GPT-5 Pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Humanity's Last Exam | 31.6% | — |
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1416 |
Multilingual Not comparable
GPT-5 Pro: —, Qwen3-Next 80B-A3B Instruct: 52.3 (#88)
| Benchmark | GPT-5 Pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | — | 1407 |
| LMArena Chinese | — | 1461 |
| LMArena French | — | 1415 |
| LMArena German | — | 1416 |
| LMArena Japanese | — | 1398 |
| LMArena Korean | — | 1366 |
| LMArena Russian | — | 1403 |
| LMArena Spanish | — | 1436 |
Instruction Following Not comparable
GPT-5 Pro: —, Qwen3-Next 80B-A3B Instruct: 71.0 (#154)
| Benchmark | GPT-5 Pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | — | 81% |
| LMArena Instruction Following | — | 1388 |
Long Context Not comparable
GPT-5 Pro: —, Qwen3-Next 80B-A3B Instruct: 37.0 (#218)
| Benchmark | GPT-5 Pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | — | 55.6% |
| LMArena Longer Query | — | 1403 |
Writing & Preference Not comparable
GPT-5 Pro: —, Qwen3-Next 80B-A3B Instruct: 58.2 (#116)
| Benchmark | GPT-5 Pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1333 |
| WildBench | — | 80.7% |
| LMArena Multi-Turn | — | 1415 |
Frequently asked questions
Is GPT-5 Pro better than Qwen3-Next 80B-A3B Instruct?
GPT-5 Pro is the stronger model overall, scoring 46.2 to 42.5 on the Noometry Index. Qwen3-Next 80B-A3B Instruct costs 47× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5 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 Pro lists at $15 and $120.
Is GPT-5 Pro or Qwen3-Next 80B-A3B Instruct better for coding?
GPT-5 Pro scores higher on coding benchmarks: 43.4 versus 41.9 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Pro does, with 400K tokens against 131K.
How many benchmarks do GPT-5 Pro and Qwen3-Next 80B-A3B Instruct share?
1 benchmark has published results for both models. GPT-5 Pro has 12 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.