Tencent Hy3

Hy3 by Tencent excels in the Coding category, where it ranks #297 with a composite score of 40/100. 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:... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Hy3 is priced at $0.13 per million input tokens and $0.53 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Hy3 holds rank #297 out of 447 models tracked. Its quality rank is #297 and adoption rank is #297. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Hy3 has been evaluated across 5 different signals. Its strongest areas include Capabilities (67/100), Pricing (100/100), Context Window (86/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.

Hy3 is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Tencent's website for current free tier availability and promotional offers.

Hy3 supports a 262K token context window (262,144 tokens total). That translates to roughly 196,608 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.

Hy3 can generate up to 128K output tokens (128,000 tokens) per response. That is roughly 96,000 words. This is enough for generating complete code files, detailed reports, or long-form content in a single response.

Hy3 supports function/tool calling, structured JSON output, extended reasoning/chain-of-thought, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. These capabilities determine which workflows and integrations the model can handle natively.

Yes, Hy3 is an open-source model. You can download the weights, run it locally, fine-tune it for your use case, or deploy it on your own infrastructure. Many cloud providers also offer hosted versions if you prefer not to manage the infrastructure yourself. Self-hosting gives you full control over data privacy and eliminates per-token API costs.

Hy3 was developed by Tencent. It was released on July 6, 2026. You can access it through Tencent's API or download the model weights directly. Check our provider page for all models from Tencent and how they compare against each other.

Pick Hy3 when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access Hy3 through Tencent's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.