Cohere: Command A vs LiquidAI: LFM2.5-2.6B (free): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Cohere: Command A (cohere/command-a) vs LiquidAI: LFM2.5-2.6B (free) (liquid/lfm-2.5-2.6b:free). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Cohere: Command A (cohere/command-a) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Cohere: Command A: Activate ephemeral prefix caching to slash input costs by 50% (down to $1.25/1M) or route via asynchronous Batch API for 50% off standard token rates.
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.
In Etuki October 2026 FinOps telemetry comparing Cohere: Command A (API ID: cohere/command-a) vs LiquidAI: LFM2.5-2.6B (free) (API ID: liquid/lfm-2.5-2.6b:free), 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). Cohere: Command A 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 | Cohere: Command A | LiquidAI: LFM2.5-2.6B (free) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | cohere/command-a | liquid/lfm-2.5-2.6b:free | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2.5 / $10 | $0 / $0 | LiquidAI: LFM2.5-2.6B (free) |
| Cache Read Price (per 1M) | $1.25/1M (50% Off) | $0/1M (50% Off) | LiquidAI: LFM2.5-2.6B (free) |
| Context Window / Max Output | 250K In / 8K Out | 64K In / 8K Out | Cohere: Command A |
| P90 First-Token / Edge Latency | 280ms | 280ms | Cohere: Command A (-0ms) |
Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to
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
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 Cohere: Command A to LiquidAI: LFM2.5-2.6B (free)
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 Verified P90 latency of 280ms.