o3 Mini vs Qwen3.5 397B A17B
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 Qwen3.5 397B A17B.
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...
Qwen3.5 397B A17B
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...
Technical Specifications
| Specification | o3 Mini | Qwen3.5 397B A17B |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 200,000 tokens | 256,000 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 | 2026-02-16 |
API Pricing Comparison
Input Price per Million Tokens
o3 Mini
$1.10
Qwen3.5 397B A17B
$0.39
Output Price per Million Tokens
o3 Mini
$4.40
Qwen3.5 397B A17B
$2.45
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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
Qwen3.5 397B A17B Quirks & Gotchas
No developer gotchas reported.