Analysis Summary
Tencent Hy3 is a measured, cost-efficient model with strong reasoning, high coding capability, and a 262,144 token context window. Tool use and function calling support practical automation, while the context size is sufficient for substantial briefs, documentation sets, and many software projects.
It fits coding assistants, structured SEO generation, document processing, and lower-cost agents that can operate with monitoring. Agentic performance is less advanced than the strongest autonomous models, and the text-only modality excludes image-based review. Its pricing is a major advantage for high-volume workloads, making Hy3 a strong value choice when tasks are well specified and escalation paths are available for difficult reasoning or multimodal requests.
Assessed September 7, 2026
Editorial notes
Tencent Hy3 delivers strong reasoning and coding, useful tool calling, a 262K context, and very low pricing, making it a capable value model for automation and technical workloads.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Tencent Hy3 delivers strong reasoning and coding, useful tool calling, a 262K context, and very low pricing, making it a capable value model for automation and technical workloads.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
42.2 Intelligence Index·58.8 Coding Index·31.4 Agentic Index
How Tencent: Hy3 compares
Tencent: Hy3 ranks #24 of 437 AI models we track for overall intelligence, #52 of 209 for coding, #52 of 191 for agentic tasks. Its 262K-token context window is larger than 71% of the models we list. At $0.08 per million input tokens it is cheaper than 70% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.08 | $0.000083 |
| Output | $0.33 | $0.000330 |
What would Tencent: Hy3 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 774 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Tencent: Hy3 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Tencent: Hy3
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:..
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Frequently asked questions about Tencent: Hy3
How much does Tencent: Hy3 cost?
Tencent: Hy3 costs $0.08 per million input tokens and $0.33 per million output tokens.
What is the context window of Tencent: Hy3?
Tencent: Hy3 has a context window of 262,144 tokens (262K).
Is Tencent: Hy3 good for coding?
On our coding benchmark index, Tencent: Hy3 ranks #52 of 209 models, placing it in the top quartile of the field for code generation and debugging.
What can Tencent: Hy3 do?
Tencent: Hy3 supports tool use and function calling.
Who created Tencent: Hy3?
Tencent: Hy3 is developed by Tencent and was released on July 6, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 14, 2026 8:38 pm