o4 Mini Deep Research vs Qwen3 32B
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for o4 Mini Deep Research and Qwen3 32B.
o4 Mini Deep Research
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.
Qwen3 32B
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Technical Specifications
| Specification | o4 Mini Deep Research | Qwen3 32B |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 200,000 tokens | 131,072 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-10-10 | 2025-04-28 |
API Pricing Comparison
Input Price per Million Tokens
o4 Mini Deep Research
$2.00
Qwen3 32B
$0.08
Output Price per Million Tokens
o4 Mini Deep Research
$8.00
Qwen3 32B
$0.28
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
o4 Mini Deep Research Quirks & Gotchas
No developer gotchas reported.
Qwen3 32B Quirks & Gotchas
No developer gotchas reported.