Hy3 preview vs o1
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 Hy3 preview and o1.
Hy3 preview
Hy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports configurable reasoning levels across disabled, low, and high modes, allowing it to...
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...
Technical Specifications
| Specification | Hy3 preview | o1 |
|---|---|---|
| Provider | Tencent | OpenAI |
| Context Window | 262,144 tokens | 200,000 tokens |
| Agent Suitability | N/A | 88/100 |
| Time to First Token (TTFT) | N/A | 2500 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-22 | 2024-12-17 |
API Pricing Comparison
Input Price per Million Tokens
Hy3 preview
$0.06
o1
$15.00
Output Price per Million Tokens
Hy3 preview
$0.21
o1
$60.00
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.
Hy3 preview Quirks & Gotchas
No developer gotchas reported.
o1 Quirks & Gotchas
- โธReasoning model โ high latency by design, not for real-time use
- โธBest for complex math/code reasoning where accuracy > speed
- โธUse o3-mini when you need reasoning with lower latency