o3 Mini vs Qwen3 235B A22B 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 o3 Mini and Qwen3 235B A22B Instruct 2507.
o3 Mini
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...
Qwen3 235B A22B Instruct 2507
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...
Technical Specifications
| Specification | o3 Mini | Qwen3 235B A22B Instruct 2507 |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 200,000 tokens | 262,144 tokens |
| Agent Suitability | 91/100 | N/A |
| Time to First Token (TTFT) | 800 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-01-31 | 2025-07-21 |
API Pricing Comparison
Input Price per Million Tokens
o3 Mini
$1.10
Qwen3 235B A22B Instruct 2507
$0.09
Output Price per Million Tokens
o3 Mini
$4.40
Qwen3 235B A22B Instruct 2507
$0.10
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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.
o3 Mini Quirks & Gotchas
- ▸Best cost/performance ratio for reasoning tasks in the OpenAI lineup
- ▸Still slower than GPT-5 for simple tool calls — route accordingly
Qwen3 235B A22B Instruct 2507 Quirks & Gotchas
No developer gotchas reported.