Tencent: Hunyuan A13B Instruct vs MoonshotAI: Kimi K2.5: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Tencent: Hunyuan A13B Instruct (tencent/hunyuan-a13b-instruct) vs MoonshotAI: Kimi K2.5 (moonshotai/kimi-k2.5). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Tencent: Hunyuan A13B Instruct (tencent/hunyuan-a13b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Tencent: Hunyuan A13B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.07/1M) or route via asynchronous Batch API for 50% off standard token rates.
MoonshotAI: Kimi K2.5 (moonshotai/kimi-k2.5) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi K2.5: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.25/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Tencent: Hunyuan A13B Instruct (API ID: tencent/hunyuan-a13b-instruct) vs MoonshotAI: Kimi K2.5 (API ID: moonshotai/kimi-k2.5), Tencent: Hunyuan A13B Instruct offers lower standard input pricing at $0.14/1M tokens ($0.57/1M output), while Tencent: Hunyuan A13B Instruct leads in cached prefix economics at $0.07/1M tokens (50% discount). Tencent: Hunyuan A13B 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 | Tencent: Hunyuan A13B Instruct | MoonshotAI: Kimi K2.5 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | tencent/hunyuan-a13b-instruct | moonshotai/kimi-k2.5 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.14 / $0.57 | $0.5 / $2.5 | Tencent: Hunyuan A13B Instruct |
| Cache Read Price (per 1M) | $0.07/1M (50% Off) | $0.25/1M (50% Off) | Tencent: Hunyuan A13B Instruct |
| Context Window / Max Output | 128K In / 115K Out | 256K In / 230K Out | MoonshotAI: Kimi K2.5 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Tencent: Hunyuan A13B Instruct (-0ms) |
Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thou
Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued p
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: Hunyuan A13B Instruct to MoonshotAI: Kimi K2.5
Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued p Verified P90 latency of 280ms.