Tencent: Hy-MT2-30B-A3B vs Inception: Mercury 3: Live Promos, Pricing, Hidden Fees & Latency
Tencent: Hy-MT2-30B-A3B (tencent/hy-mt2-30b-a3b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Tencent: Hy-MT2-30B-A3B: Activate ephemeral prefix caching to slash input costs by 50% (down to 0.037/1M) or route via asynchronous Batch API for 50% off standard token rates.
Inception: Mercury 3 (inception/mercury-3) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Inception: Mercury 3: Activate ephemeral prefix caching to slash input costs by 50% (down to 0.05/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Tencent: Hy-MT2-30B-A3B (API ID: tencent/hy-mt2-30b-a3b) vs Inception: Mercury 3 (API ID: inception/mercury-3), Tencent: Hy-MT2-30B-A3B offers lower standard input pricing at $0.074/1M tokens ($0.295/1M output), while Tencent: Hy-MT2-30B-A3B leads in cached prefix economics at $0.037/1M tokens (50% discount). Tencent: Hy-MT2-30B-A3B achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
Auto-discovered via live global telemetry registry.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | Tencent: Hy-MT2-30B-A3B | Inception: Mercury 3 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | tencent/hy-mt2-30b-a3b | inception/mercury-3 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.074 / $0.295 | $0.1 / $0.35 | Tencent: Hy-MT2-30B-A3B |
| Cache Read Price (per 1M) | $0.037/1M (50% Off) | $0.05/1M (50% Off) | Tencent: Hy-MT2-30B-A3B |
| Context Window / Max Output | 8K In / 4K Out | 977K In / 128K Out | Inception: Mercury 3 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Tencent: Hy-MT2-30B-A3B (-0ms) |
Hy-MT2-30B-A3B is Tencent's flagship translation model in the Hy-MT2 family. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for
Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency
Real-Time Stack Cost & Hidden-Fee Simulator (MAU / Token / Egress / GMV)
Calibrated with Reddit r/FinOps & r/devops telemetry: Includes Context Caching, Bandwidth Egress, and MoR Tax
🛰️Switch from Tencent: Hy-MT2-30B-A3B to Inception: Mercury 3
Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency Verified P90 latency of 280ms.