The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide consistently better answers.
Model details →OpenAI: o1-pro vs Qwen: Qwen3.5-122B-A10B
Qwen: Qwen3.5-122B-A10B wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of overall performance…
Model details →Side-by-side comparison
| Capability | OpenAI: o1-pro | Qwen: Qwen3.5-122B-A10B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 200K | 262K | 🏆 Qwen: Qwen3.5-122B-A10B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $150.00 | $0.26 | 🏆 Qwen: Qwen3.5-122B-A10B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $600.00 | $2.08 | 🏆 Qwen: Qwen3.5-122B-A10B |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Qwen: Qwen3.5-122B-A10B |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is OpenAI: o1-pro better than Qwen: Qwen3.5-122B-A10B?
Qwen: Qwen3.5-122B-A10B wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between OpenAI: o1-pro and Qwen: Qwen3.5-122B-A10B?
Input: $150.00 vs $0.26 per 1M tokens. Output: $600.00 vs $2.08 per 1M tokens.
What context windows do OpenAI: o1-pro and Qwen: Qwen3.5-122B-A10B support?
OpenAI: o1-pro supports up to 200K tokens. Qwen: Qwen3.5-122B-A10B supports up to 262K tokens.
Do both OpenAI: o1-pro and Qwen: Qwen3.5-122B-A10B support tool calling?
OpenAI: o1-pro: not advertised. Qwen: Qwen3.5-122B-A10B: yes.