MoonshotAI: Kimi K3 (batch) vs Tencent: Hy-MT2-1.8B: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing MoonshotAI: Kimi K3 (batch) (moonshotai/kimi-k3:batch) vs Tencent: Hy-MT2-1.8B (tencent/hy-mt2-1.8b). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
MoonshotAI: Kimi K3 (batch) (moonshotai/kimi-k3:batch) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi K3 (batch): Activate ephemeral prefix caching to slash input costs by 50% (down to $1.14/1M) or route via asynchronous Batch API for 50% off standard token rates.
Tencent: Hy-MT2-1.8B (tencent/hy-mt2-1.8b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Tencent: Hy-MT2-1.8B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.022/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing MoonshotAI: Kimi K3 (batch) (API ID: moonshotai/kimi-k3:batch) vs Tencent: Hy-MT2-1.8B (API ID: tencent/hy-mt2-1.8b), Tencent: Hy-MT2-1.8B offers lower standard input pricing at $0.044/1M tokens ($0.177/1M output), while Tencent: Hy-MT2-1.8B leads in cached prefix economics at $0.022/1M tokens (50% discount). MoonshotAI: Kimi K3 (batch) 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 | MoonshotAI: Kimi K3 (batch) | Tencent: Hy-MT2-1.8B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | moonshotai/kimi-k3:batch | tencent/hy-mt2-1.8b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2.28 / $11.4 | $0.044 / $0.177 | Tencent: Hy-MT2-1.8B |
| Cache Read Price (per 1M) | $1.14/1M (50% Off) | $0.022/1M (50% Off) | Tencent: Hy-MT2-1.8B |
| Context Window / Max Output | 1024K In / 16K Out | 8K In / 4K Out | MoonshotAI: Kimi K3 (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | MoonshotAI: Kimi K3 (batch) (-0ms) |
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is par
Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for struc
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 MoonshotAI: Kimi K3 (batch) to Tencent: Hy-MT2-1.8B
Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for struc Verified P90 latency of 280ms.