The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently better answers. Note that BYOK is require…
Model details →OpenAI: o3 Pro vs Qwen: Qwen3.5-35B-A3B
Qwen: Qwen3.5-35B-A3B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall performan…
Model details →Side-by-side comparison
| Capability | OpenAI: o3 Pro | Qwen: Qwen3.5-35B-A3B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 200K | 262K | 🏆 Qwen: Qwen3.5-35B-A3B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $20.00 | $0.16 | 🏆 Qwen: Qwen3.5-35B-A3B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $80.00 | $1.30 | 🏆 Qwen: Qwen3.5-35B-A3B |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| 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: o3 Pro better than Qwen: Qwen3.5-35B-A3B?
Qwen: Qwen3.5-35B-A3B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between OpenAI: o3 Pro and Qwen: Qwen3.5-35B-A3B?
Input: $20.00 vs $0.16 per 1M tokens. Output: $80.00 vs $1.30 per 1M tokens.
What context windows do OpenAI: o3 Pro and Qwen: Qwen3.5-35B-A3B support?
OpenAI: o3 Pro supports up to 200K tokens. Qwen: Qwen3.5-35B-A3B supports up to 262K tokens.
Do both OpenAI: o3 Pro and Qwen: Qwen3.5-35B-A3B support tool calling?
OpenAI: o3 Pro: yes. Qwen: Qwen3.5-35B-A3B: yes.