Qwen2.5 72B Instruct vs Tencent: Hy3 preview: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Qwen2.5 72B Instruct (qwen/qwen-2.5-72b-instruct) vs Tencent: Hy3 preview (tencent/hy3-preview). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Qwen2.5 72B Instruct (qwen/qwen-2.5-72b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen2.5 72B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.18/1M) or route via asynchronous Batch API for 50% off standard token rates.
Tencent: Hy3 preview (tencent/hy3-preview) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Tencent: Hy3 preview: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.09/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Qwen2.5 72B Instruct (API ID: qwen/qwen-2.5-72b-instruct) vs Tencent: Hy3 preview (API ID: tencent/hy3-preview), Tencent: Hy3 preview offers lower standard input pricing at $0.18/1M tokens ($0.6/1M output), while Tencent: Hy3 preview leads in cached prefix economics at $0.09/1M tokens (50% discount). Qwen2.5 72B Instruct 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 | Qwen2.5 72B Instruct | Tencent: Hy3 preview | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen-2.5-72b-instruct | tencent/hy3-preview | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.36 / $0.4 | $0.18 / $0.6 | Tencent: Hy3 preview |
| Cache Read Price (per 1M) | $0.18/1M (50% Off) | $0.09/1M (50% Off) | Tencent: Hy3 preview |
| Context Window / Max Output | 32K In / 16K Out | 256K In / 230K Out | Tencent: Hy3 preview |
| P90 First-Token / Edge Latency | 280ms | 280ms | Qwen2.5 72B Instruct (-0ms) |
Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabi
Hy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports configurable reasoning levels across disabled,
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 Qwen2.5 72B Instruct to Tencent: Hy3 preview
Hy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports configurable reasoning levels across disabled, Verified P90 latency of 280ms.