LiquidAI: LFM2.5-2.6B (free) vs Google: Gemini 2.5 Flash Lite (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing LiquidAI: LFM2.5-2.6B (free) (liquid/lfm-2.5-2.6b:free) vs Google: Gemini 2.5 Flash Lite (batch) (google/gemini-2.5-flash-lite:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
LiquidAI: LFM2.5-2.6B (free) (liquid/lfm-2.5-2.6b:free) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for LiquidAI: LFM2.5-2.6B (free): Activate ephemeral prefix caching to slash input costs by 50% (down to $0/1M) or route via asynchronous Batch API for 50% off standard token rates.
Google: Gemini 2.5 Flash Lite (batch) (google/gemini-2.5-flash-lite:batch) — Google AI Startup Credits ($350K) & 50% Cache Promo
Google DeepMind is currently subsidizing Gemini 4 Argon at 50% off standard rates ($2.00/1M input & $10.00/1M output instead of $4/$20) until November 30, 2026, alongside 95% off Context Caching ($0.10/1M) and up to $350,000 in Google for Startups Cloud/Vertex AI credits.
In Etuki October 2026 FinOps telemetry comparing LiquidAI: LFM2.5-2.6B (free) (API ID: liquid/lfm-2.5-2.6b:free) vs Google: Gemini 2.5 Flash Lite (batch) (API ID: google/gemini-2.5-flash-lite:batch), LiquidAI: LFM2.5-2.6B (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while LiquidAI: LFM2.5-2.6B (free) leads in cached prefix economics at $0/1M tokens (50% discount). LiquidAI: LFM2.5-2.6B (free) 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 | LiquidAI: LFM2.5-2.6B (free) | Google: Gemini 2.5 Flash Lite (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | liquid/lfm-2.5-2.6b:free | google/gemini-2.5-flash-lite:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0 / $0 | $0.05 / $0.2 | LiquidAI: LFM2.5-2.6B (free) |
| Cache Read Price (per 1M) | $0/1M (50% Off) | $0.025/1M (50% Off) | LiquidAI: LFM2.5-2.6B (free) |
| Context Window / Max Output | 64K In / 8K Out | 1024K In / 64K Out | Google: Gemini 2.5 Flash Lite (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | LiquidAI: LFM2.5-2.6B (free) (-0ms) |
LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for ag
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token ge
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 LiquidAI: LFM2.5-2.6B (free) to Google: Gemini 2.5 Flash Lite (batch)
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token ge Verified P90 latency of 280ms.