o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following. Use it to think through multi-step problems…
Model details →OpenAI: o3 vs Qwen: Qwen3 Max Thinking
Qwen: Qwen3 Max Thinking wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it deliver…
Model details →Side-by-side comparison
| Capability | OpenAI: o3 | Qwen: Qwen3 Max Thinking | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 200K | 262K | 🏆 Qwen: Qwen3 Max Thinking |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.78 | 🏆 Qwen: Qwen3 Max Thinking |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $3.90 | 🏆 Qwen: Qwen3 Max Thinking |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 OpenAI: o3 |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is OpenAI: o3 better than Qwen: Qwen3 Max Thinking?
Qwen: Qwen3 Max Thinking wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between OpenAI: o3 and Qwen: Qwen3 Max Thinking?
Input: $2.00 vs $0.78 per 1M tokens. Output: $8.00 vs $3.90 per 1M tokens.
What context windows do OpenAI: o3 and Qwen: Qwen3 Max Thinking support?
OpenAI: o3 supports up to 200K tokens. Qwen: Qwen3 Max Thinking supports up to 262K tokens.
Do both OpenAI: o3 and Qwen: Qwen3 Max Thinking support tool calling?
OpenAI: o3: yes. Qwen: Qwen3 Max Thinking: yes.