GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...
Model details →OpenAI: GPT-5 Nano vs Tencent: Hy3
OpenAI: GPT-5 Nano wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...
Model details →Side-by-side comparison
| Capability | OpenAI: GPT-5 Nano | Tencent: Hy3 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 400K | 262K | 🏆 OpenAI: GPT-5 Nano |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.05 | $0.13 | 🏆 OpenAI: GPT-5 Nano |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.40 | $0.53 | 🏆 OpenAI: GPT-5 Nano |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 OpenAI: GPT-5 Nano |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is OpenAI: GPT-5 Nano better than Tencent: Hy3?
OpenAI: GPT-5 Nano wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between OpenAI: GPT-5 Nano and Tencent: Hy3?
Input: $0.05 vs $0.13 per 1M tokens. Output: $0.40 vs $0.53 per 1M tokens.
What context windows do OpenAI: GPT-5 Nano and Tencent: Hy3 support?
OpenAI: GPT-5 Nano supports up to 400K tokens. Tencent: Hy3 supports up to 262K tokens.
Do both OpenAI: GPT-5 Nano and Tencent: Hy3 support tool calling?
OpenAI: GPT-5 Nano: yes. Tencent: Hy3: yes.
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