o4 Mini Deep Research vs Qwen3 30B A3B Instruct 2507
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 30B A3B Instruct 2507.
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 30B A3B Instruct 2507
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
Technical Specifications
| Specification | o4 Mini Deep Research | Qwen3 30B A3B Instruct 2507 |
|---|---|---|
| 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 | 2025-07-29 |
API Pricing Comparison
Input Price per Million Tokens
o4 Mini Deep Research
$2.00
Qwen3 30B A3B Instruct 2507
$0.05
Output Price per Million Tokens
o4 Mini Deep Research
$8.00
Qwen3 30B A3B Instruct 2507
$0.19
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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 30B A3B Instruct 2507 Quirks & Gotchas
No developer gotchas reported.