o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
Model details →OpenAI: o4 Mini Deep Research vs Qwen: Qwen3.6 27B
Qwen: Qwen3.6 27B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...
Model details →Side-by-side comparison
| Capability | OpenAI: o4 Mini Deep Research | Qwen: Qwen3.6 27B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 200K | 262K | 🏆 Qwen: Qwen3.6 27B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.60 | 🏆 Qwen: Qwen3.6 27B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $3.60 | 🏆 Qwen: Qwen3.6 27B |
| 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: o4 Mini Deep Research better than Qwen: Qwen3.6 27B?
Qwen: Qwen3.6 27B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between OpenAI: o4 Mini Deep Research and Qwen: Qwen3.6 27B?
Input: $2.00 vs $0.60 per 1M tokens. Output: $8.00 vs $3.60 per 1M tokens.
What context windows do OpenAI: o4 Mini Deep Research and Qwen: Qwen3.6 27B support?
OpenAI: o4 Mini Deep Research supports up to 200K tokens. Qwen: Qwen3.6 27B supports up to 262K tokens.
Do both OpenAI: o4 Mini Deep Research and Qwen: Qwen3.6 27B support tool calling?
OpenAI: o4 Mini Deep Research: yes. Qwen: Qwen3.6 27B: yes.
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