The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought. The o1 models are op…
Model details →OpenAI: o1 vs Qwen: Qwen3.5 397B A17B
Qwen: Qwen3.5 397B A17B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
The Qwen3.5 series 397B-A17B 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. It delivers state-of-the…
Model details →Side-by-side comparison
| Capability | OpenAI: o1 | Qwen: Qwen3.5 397B A17B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 200K | 262K | 🏆 Qwen: Qwen3.5 397B A17B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $15.00 | $0.39 | 🏆 Qwen: Qwen3.5 397B A17B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $60.00 | $2.34 | 🏆 Qwen: Qwen3.5 397B A17B |
| 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: o1 better than Qwen: Qwen3.5 397B A17B?
Qwen: Qwen3.5 397B A17B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between OpenAI: o1 and Qwen: Qwen3.5 397B A17B?
Input: $15.00 vs $0.39 per 1M tokens. Output: $60.00 vs $2.34 per 1M tokens.
What context windows do OpenAI: o1 and Qwen: Qwen3.5 397B A17B support?
OpenAI: o1 supports up to 200K tokens. Qwen: Qwen3.5 397B A17B supports up to 262K tokens.
Do both OpenAI: o1 and Qwen: Qwen3.5 397B A17B support tool calling?
OpenAI: o1: yes. Qwen: Qwen3.5 397B A17B: yes.