Model comparison
o3-pro vs Qwen3-Next 80B-A3B Instruct
o3-pro and Qwen3-Next 80B-A3B Instruct score almost the same on the Noometry Index (42.9 vs 43.0), so choose on price, context window or the category you care about most.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. o3-pro scores higher in 2 categories and Qwen3-Next 80B-A3B Instruct in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.2 to 37.0.
- The biggest single-benchmark swing is Fiction.LiveBench: 97.2% for o3-pro and 55.6% for Qwen3-Next 80B-A3B Instruct.
- Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $20 / $80 for o3-pro.
- o3-pro accepts more context: 200K tokens versus 131K.
- Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.
Side by side
| o3-pro | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.9 | 43.0 |
| Released | 2025-06-10 | 2025-09 |
| Weights | Proprietary | Open |
| Context window | 200K | 131K |
| Max output | 100K | 33K |
| Input $ / M tokens | $20 | $0.50 |
| Output $ / M tokens | $80 | $2 |
| Results tracked | 12 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding o3-pro leads
o3-pro: 55.5 (#24), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | o3-pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Aider Polyglot | 84.9% | — |
| WeirdML | 58.2% | — |
| LMArena Coding | — | 1440 |
Reasoning Qwen3-Next 80B-A3B Instruct leads
o3-pro: 23.8 (#171), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | o3-pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 72.1% | 66.7% |
| ARC-AGI-2 | 4.9% | — |
| ARC-AGI-1 | 59.3% | — |
| LMArena Hard Prompts | — | 1428 |
| DTBench | 86.9% | — |
| LMCA | 38.5% | — |
| Epoch Capabilities Index | 147.42 | — |
Math Not comparable
o3-pro: —, Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | o3-pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Omni-MATH | — | 46.7% |
| LMArena Math | — | 1440 |
Knowledge Qwen3-Next 80B-A3B Instruct leads
o3-pro: 29.5 (#238), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | o3-pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Vectara Hallucination Rate | 23.3% | 9.3% |
| MMLU-Pro | — | 78.6% |
| Confabulations | 14.2% | — |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1417 |
Multilingual Not comparable
o3-pro: —, Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | o3-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
o3-pro: —, Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | o3-pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | — | 81% |
| LMArena Instruction Following | — | 1389 |
Long Context o3-pro leads
o3-pro: 72.2 (#1), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | o3-pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | 97.2% | 55.6% |
| LMArena Longer Query | — | 1403 |
Writing & Preference Too close to call
o3-pro: 57.1 (#133), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | o3-pro | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1334 |
| Short-Story Creative Writing | 84.4% | — |
| WildBench | — | 80.7% |
| LMArena Multi-Turn | — | 1416 |
Frequently asked questions
Is o3-pro better than Qwen3-Next 80B-A3B Instruct?
o3-pro and Qwen3-Next 80B-A3B Instruct score almost the same on the Noometry Index (42.9 vs 43.0), so choose on price, context window or the category you care about most.
Which is cheaper, o3-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; o3-pro lists at $20 and $80.
Is o3-pro or Qwen3-Next 80B-A3B Instruct better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 42.5 in the Noometry coding category.
Which has the bigger context window?
o3-pro does, with 200K tokens against 131K.
How many benchmarks do o3-pro and Qwen3-Next 80B-A3B Instruct share?
3 benchmarks have published results for both models. o3-pro has 12 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.