Tencent: Hy4 preview vs Meta: Muse Glimmer 30B: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Tencent: Hy4 preview (tencent/hy4-preview) vs Meta: Muse Glimmer 30B (meta/muse-glimmer-30b). 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.
Meta: Muse Glimmer 30B (meta/muse-glimmer-30b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Muse Glimmer 30B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.15/1M) 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 Meta: Muse Glimmer 30B (API ID: meta/muse-glimmer-30b), Meta: Muse Glimmer 30B offers lower standard input pricing at $0.3/1M tokens ($1.2/1M output), while Meta: Muse Glimmer 30B leads in cached prefix economics at $0.15/1M 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 | Meta: Muse Glimmer 30B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | tencent/hy4-preview | meta/muse-glimmer-30b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.834 / $2.501 | $0.3 / $1.2 | Meta: Muse Glimmer 30B |
| Cache Read Price (per 1M) | $0.417/1M (50% Off) | $0.15/1M (50% Off) | Meta: Muse Glimmer 30B |
| Context Window / Max Output | 1024K In / 63K Out | 128K In / 16K Out | Tencent: Hy4 preview |
| 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
Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It i
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 Meta: Muse Glimmer 30B
Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It i Verified P90 latency of 280ms.