Tencent: Hy4 preview vs Relace: Relace Search: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Tencent: Hy4 preview (tencent/hy4-preview) vs Relace: Relace Search (relace/relace-search). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Tencent: Hy4 preview (tencent/hy4-preview) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Tencent: Hy4 preview: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.417/1M) or route via asynchronous Batch API for 50% off standard token rates.
Relace: Relace Search (relace/relace-search) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Relace: Relace Search: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.5/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Tencent: Hy4 preview (API ID: tencent/hy4-preview) vs Relace: Relace Search (API ID: relace/relace-search), Tencent: Hy4 preview offers lower standard input pricing at $0.834/1M tokens ($2.501/1M output), while Tencent: Hy4 preview leads in cached prefix economics at $0.417/1M tokens (50% discount). Tencent: Hy4 preview 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: Hy4 preview | Relace: Relace Search | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | tencent/hy4-preview | relace/relace-search | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.834 / $2.501 | $1 / $3 | Tencent: Hy4 preview |
| Cache Read Price (per 1M) | $0.417/1M (50% Off) | $0.5/1M (50% Off) | Tencent: Hy4 preview |
| Context Window / Max Output | 1024K In / 63K Out | 250K In / 125K Out | Relace: Relace Search |
| P90 First-Token / Edge Latency | 280ms | 280ms | Tencent: Hy4 preview (-0ms) |
Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and pro
The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search pe
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: Hy4 preview to Relace: Relace Search
The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search pe Verified P90 latency of 280ms.