o3 Mini vs Qwen3 VL 235B A22B Thinking
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 VL 235B A22B Thinking.
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 VL 235B A22B Thinking
Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....
Technical Specifications
| Specification | o3 Mini | Qwen3 VL 235B A22B Thinking |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 200,000 tokens | 131,072 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 | 2025-09-23 |
API Pricing Comparison
Input Price per Million Tokens
o3 Mini
$1.10
Qwen3 VL 235B A22B Thinking
$0.26
Output Price per Million Tokens
o3 Mini
$4.40
Qwen3 VL 235B A22B Thinking
$2.60
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
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 VL 235B A22B Thinking Quirks & Gotchas
No developer gotchas reported.