Model comparison
o1-pro vs Qwen3.5 122B-A10B
Qwen3.5 122B-A10B is the stronger model overall, scoring 41.6 to 31.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.5 122B-A10B leads 38.2 to 29.3.
- Qwen3.5 122B-A10B is cheaper at $0.40 / $3.20 per million input/output tokens, against $150 / $600 for o1-pro.
- Qwen3.5 122B-A10B accepts more context: 262K tokens versus 200K.
- Qwen3.5 122B-A10B has downloadable open weights; the other is API-only.
Side by side
| o1-pro | Qwen3.5 122B-A10B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 31.2 | 41.6 |
| Released | 2025-03-19 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 100K | 66K |
| Input $ / M tokens | $150 | $0.40 |
| Output $ / M tokens | $600 | $3.20 |
| Results tracked | 3 | 27 |
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Category by category
Coding Not comparable
o1-pro: —, Qwen3.5 122B-A10B: 38.8 (#155)
| Benchmark | o1-pro | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena WebDev | — | 1360 |
| SciCode | — | 35.6% |
| LMArena Coding | — | 1436 |
Reasoning Qwen3.5 122B-A10B leads
o1-pro: 20.2 (#223), Qwen3.5 122B-A10B: 26.4 (#121)
| Benchmark | o1-pro | Qwen3.5 122B-A10B |
|---|---|---|
| NYT Connections (extended) | — | 51.7% |
| ARC-AGI-1 | 23.3% | — |
| CritPt | — | 0.9% |
| EnigmaEval | 6.1% | — |
| Thematic Generalization | — | 51.2% |
| LMArena Hard Prompts | — | 1421 |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84.3% |
| LMCA | — | 32.2% |
Math Not comparable
o1-pro: —, Qwen3.5 122B-A10B: 36.4 (#114)
| Benchmark | o1-pro | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Math | — | 1432 |
Knowledge Qwen3.5 122B-A10B leads
o1-pro: 29.3 (#227), Qwen3.5 122B-A10B: 38.2 (#138)
| Benchmark | o1-pro | Qwen3.5 122B-A10B |
|---|---|---|
| Humanity's Last Exam | 8.1% | — |
| Vectara Hallucination Rate | — | 11.2% |
| LMArena Expert | — | 1431 |
Multimodal Not comparable
o1-pro: —, Qwen3.5 122B-A10B: 39.0 (#52)
| Benchmark | o1-pro | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Vision | — | 1245 |
Multilingual Not comparable
o1-pro: —, Qwen3.5 122B-A10B: 51.8 (#101)
| Benchmark | o1-pro | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Non-English | — | 1400 |
| LMArena Chinese | — | 1462 |
| LMArena French | — | 1442 |
| LMArena German | — | 1425 |
| LMArena Japanese | — | 1364 |
| LMArena Korean | — | 1353 |
| LMArena Russian | — | 1400 |
| LMArena Spanish | — | 1423 |
Instruction Following Not comparable
o1-pro: —, Qwen3.5 122B-A10B: 74.0 (#109)
| Benchmark | o1-pro | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Instruction Following | — | 1399 |
Long Context Not comparable
o1-pro: —, Qwen3.5 122B-A10B: 43.0 (#105)
| Benchmark | o1-pro | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Longer Query | — | 1410 |
Writing & Preference Not comparable
o1-pro: —, Qwen3.5 122B-A10B: 60.2 (#98)
| Benchmark | o1-pro | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1369 |
| LMArena Multi-Turn | — | 1416 |
Frequently asked questions
Is o1-pro better than Qwen3.5 122B-A10B?
Qwen3.5 122B-A10B is the stronger model overall, scoring 41.6 to 31.2 on the Noometry Index.
Which is cheaper, o1-pro or Qwen3.5 122B-A10B?
Qwen3.5 122B-A10B is cheaper. It lists at $0.40 per million input tokens and $3.20 per million output tokens; o1-pro lists at $150 and $600.
Which has the bigger context window?
Qwen3.5 122B-A10B does, with 262K tokens against 200K.
How many benchmarks do o1-pro and Qwen3.5 122B-A10B share?
0 benchmarks have published results for both models. o1-pro has 3 scored results on Noometry and Qwen3.5 122B-A10B has 27.