LiquidAI: LFM2.5-2.6B (free) vs MiniMax: MiniMax M2.5: 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 MiniMax: MiniMax M2.5 (minimax/minimax-m2.5). 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.
MiniMax: MiniMax M2.5 (minimax/minimax-m2.5) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MiniMax: MiniMax M2.5: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.135/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing LiquidAI: LFM2.5-2.6B (free) (API ID: liquid/lfm-2.5-2.6b:free) vs MiniMax: MiniMax M2.5 (API ID: minimax/minimax-m2.5), 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) | MiniMax: MiniMax M2.5 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | liquid/lfm-2.5-2.6b:free | minimax/minimax-m2.5 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0 / $0 | $0.27 / $0.95 | LiquidAI: LFM2.5-2.6B (free) |
| Cache Read Price (per 1M) | $0/1M (50% Off) | $0.135/1M (50% Off) | LiquidAI: LFM2.5-2.6B (free) |
| Context Window / Max Output | 64K In / 8K Out | 200K In / 32K Out | MiniMax: MiniMax M2.5 |
| 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
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon th
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 MiniMax: MiniMax M2.5
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon th Verified P90 latency of 280ms.