Tencent Hy3: How a 295B Sparse MoE Model Runs on 21B Active Parameters
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Tencent Hy3: How a 295B Sparse MoE Model Runs on 21B Active Parameters Tencent released Hy3 on July 6, 2026 — a 295-billion-parameter Mixture-of-Experts model under the Apache 2.0 license. The headline numbers are striking, but the more interesting story is in the architecture: despite 295B total parameters, only 21 billion are active on any given forward pass. That gap between total and active parameters is the core design decision worth understanding. What "Mixture of Experts" Actually Means…
1Key Takeaways
- Tencent Hy3: How a 295B Sparse MoE Model Runs on 21B Active Parameters Tencent released Hy3 on July 6, 2026 — a 295-billion-parameter Mixture-of-Experts model under the Apache 2.0 license.
- The headline numbers are striking, but the more interesting story is in the architecture: despite 295B total parameters, only 21 billion are active on any given forward pass.
- That gap between total and active parameters is the core design decision worth understanding.
- What "Mixture of Experts" Actually Means….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that tencent Hy3: How a 295B Sparse MoE Model Runs on 21B Active Parameters Tencent released Hy3 on July 6, 2026 — a 295-billion-parameter Mixture-of-Experts model under the Apache 2.0 license.
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