hy3 is a efficient-tier language model from Tencent. hy3 is a proprietary model available exclusively through Tencent's API. The Hunyuan family is Tencent's model series for this capability tier.
hy3 is priced at $0.14/1M input tokens and $0.56/1M output tokens. Output tokens are 4× more expensive than input tokens — this ratio reflects the sequential nature of autoregressive generation, which requires a separate forward pass per output token versus parallel processing of all input tokens simultaneously. At a typical usage pattern of 1,000 input tokens and 500 output tokens per call, hy3 costs approximately $0.42 per 1,000 API calls. Tencent does not publish a prompt caching rate for this model, so repeated long contexts are billed at the standard $0.14/1M input rate.
Its 262K-token context window is in the top tier for production models, enabling full-document analysis, long multi-turn conversations, and large codebase understanding without chunking. Median latency (P50 time-to-first-token) is approximately 350ms — suitable for interactive applications where sub-second response is acceptable. Throughput is approximately 180 tokens/second — fast enough to stream responses at reading speed with headroom for concurrent requests. Maximum output length is 16K tokens — sufficient for long-form content generation, detailed code files, and extended reports.
hy3 is best suited to chat, cost, coding. Supported capabilities include function calling / tool use for agentic workflows, streaming token output for real-time UIs. Function calling support makes it suitable for building AI agents, structured data extraction pipelines, and any workflow requiring the model to invoke external APIs or return typed JSON. When evaluating this model for a specific workload, the most important factors are: context window (does your input fit?), output price (how long are your generations?), and latency (is this interactive or batch?). The pricing table above shows how hy3 compares to similar models across these dimensions.
hy3 sits in the efficient tier — optimized for speed and cost while maintaining solid quality, ideal for high-volume or latency-sensitive workloads. Unlike open-weights alternatives, hy3 is only available via Tencent's API — there is no self-hosted option, which simplifies deployment but creates vendor dependency. When comparing hy3 to alternatives, use the similar models section on this page to find models at comparable price points with different capability tradeoffs. The intelligence score (74/100) reflects aggregate benchmark performance — a useful proxy for general capability, though real-world performance varies significantly by task type. Always test with your specific prompts and use case before committing to a model for production.
Composite quality score based on reasoning, coding, and instruction-following benchmarks.
Input price vs 217 efficient models tracked. Avg: $0.321/1M.
| Model ID | hy3 |
| Provider | Tencent |
| Model Family | Hunyuan |
| Tier | Efficient |
| Context Window | 262,144 tokens (262K) |
| Max Output Tokens | 16,384 tokens |
| Input Price | $0.14 / 1M tokens |
| Output Price | $0.56 / 1M tokens |
| Cached Input Price | Not available |
| Throughput | 180 tokens/sec |
| Latency (P50) | 350ms |
| Intelligence Score | 74/100 |
| LiveBench Score | — |
| Cost per Task (LiveBench) | — |
| Data Confidence | — |
| HLE Score | — |
| GPQA Diamond | — |
| SWE-bench Score | — |
| OSWorld Score | — |
| BrowseComp Score | — |
| Terminal-Bench Score | — |
| AutoBench Score | — |
| Parameters | — |
| Vision Support | No |
| Function Calling | Yes |
| Streaming | Yes |
| Reasoning Model | No |
| Open Weights | No |
| Data Source | Static (verified) |
| Last Updated | 2026-07-20 |
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Self-hosting hy3? These GPUs are well-matched for this model's compute and memory requirements.