LG EXAONE Exaone Deep 7.8B vs Moonshot Kimi K2.5 (1T MoE): Live Promos, Pricing, Hidden Fees & Latency
LG EXAONE Exaone Deep 7.8B (lgai-exaone/exaone-deep-7.8b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for LG EXAONE Exaone Deep 7.8B: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.005/1M) or route via asynchronous Batch API for 50% off standard token rates.
Moonshot Kimi K2.5 (1T MoE) (kimi-k2.5-1t) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Moonshot Kimi K2.5 (1T MoE): Activate ephemeral prefix caching to slash input costs by 90% (down to 0.055/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing LG EXAONE Exaone Deep 7.8B (API ID: lgai-exaone/exaone-deep-7.8b) vs Moonshot Kimi K2.5 (1T MoE) (API ID: kimi-k2.5-1t), LG EXAONE Exaone Deep 7.8B offers lower standard input pricing at $0.05/1M tokens ($0.15/1M output), while LG EXAONE Exaone Deep 7.8B leads in cached prefix economics at $0.005/1M tokens (90% discount). LG EXAONE Exaone Deep 7.8B achieves a 0ms faster P90 time-to-first-token latency (195ms vs 195ms).
Gateway-synced rate ($0.05/$0.15 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
| Specification / FinOps Dimension | LG EXAONE Exaone Deep 7.8B | Moonshot Kimi K2.5 (1T MoE) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | lgai-exaone/exaone-deep-7.8b | kimi-k2.5-1t | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.15 | $0.55 / $2.2 | LG EXAONE Exaone Deep 7.8B |
| Cache Read Price (per 1M) | $0.005/1M (90% Off) | $0.055/1M (90% Off) | LG EXAONE Exaone Deep 7.8B |
| Context Window / Max Output | 128K In / 64K Out | 256K In / 128K Out | Moonshot Kimi K2.5 (1T MoE) |
| P90 First-Token / Edge Latency | 195ms | 195ms | LG EXAONE Exaone Deep 7.8B (-0ms) |
LG EXAONE Exaone Deep 7.8B (lgai-exaone/exaone-deep-7.8b): OpenRouter gateway-synced model at $0.05/1M input, $0.15/1M output, $0.005/1M cached input (128K context window).
Moonshot AI 1-Trillion parameter MoE model ($0.55/$2.20 per 1M, $0.055 cache read [90% off], 256K context window).
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 LG EXAONE Exaone Deep 7.8B to Moonshot Kimi K2.5 (1T MoE)
Moonshot AI 1-Trillion parameter MoE model ($0.55/$2.20 per 1M, $0.055 cache read [90% off], 256K context window). Verified P90 latency of 195ms.