Tencent HY 2.0 is officially released. We are rolling out a major performance upgrade to our foundation model, now available via Tencent Cloud API.
Built on a Mixture-of-Experts (MoE) architecture (406B total, 32B active parameters) and featuring a 256K context window, HY 2.0 delivers significant gains across key benchmarks.
HY 2.0 Highlights:
🧠Reasoning: Achieved 73.4 on the IMO-AnswerBench (up nearly 20%), establishing top-tier math and scientific logic capabilities.
🛠️Coding & Agents: Explosive growth with SWE-bench Verified scoring 53.0 (from 6.0) and Tau2—Bench reaching 72.4 (from 17.1).
⚡Instruction Following: Enhanced stability and execution accuracy for complex constraints, producing more natural, less generic output.
Two Optimized Versions::
HY 2.0 Think: Optimized for deep reasoning, code generation, and complex instruction following.
HY 2.0 Instruct: Ideal for general chat, creative writing, and high-context multi-turn dialogue.
Start building with HY 2.0 today.
🌐 Website: https://t.co/U3966JuQHi
🔗 API Access: https://t.co/BBNue9Awhy
📄 Documentation:
mixture-of-experts — A model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.
SWE-bench — The standard benchmark for AI coding agents: real GitHub issues from real repositories, scored by whether the agent's patch passes the project's own tests.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Why it matters
HY 2.0 is callable now via Tencent Cloud with a 256K window and an order-of-magnitude jump in coding-AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → scores (SWE-benchThe standard benchmark for AI coding agents: real GitHub issues from real repositories, scored by whether the agent's patch passes the project's own tests.Full definition → 6.0→53.0), making it worth benchmarking for tool-using workloads.
