o1 vs Qwen3.5-Flash
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 o1 and Qwen3.5-Flash.
o1
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
Qwen3.5-Flash
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...
Technical Specifications
| Specification | o1 | Qwen3.5-Flash |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 200,000 tokens | 1,000,000 tokens |
| Agent Suitability | 88/100 | N/A |
| Time to First Token (TTFT) | 2500 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2024-12-17 | 2026-02-25 |
API Pricing Comparison
Input Price per Million Tokens
o1
$15.00
Qwen3.5-Flash
$0.07
Output Price per Million Tokens
o1
$60.00
Qwen3.5-Flash
$0.26
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.
o1 Quirks & Gotchas
- ▸Reasoning model — high latency by design, not for real-time use
- ▸Best for complex math/code reasoning where accuracy > speed
- ▸Use o3-mini when you need reasoning with lower latency
Qwen3.5-Flash Quirks & Gotchas
No developer gotchas reported.