Poolside: Laguna XS 2.1 vs Cohere: Command A: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Poolside: Laguna XS 2.1 (poolside/laguna-xs-2.1) vs Cohere: Command A (cohere/command-a). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Poolside: Laguna XS 2.1 (poolside/laguna-xs-2.1) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Poolside: Laguna XS 2.1: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.03/1M) or route via asynchronous Batch API for 50% off standard token rates.
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.
In Etuki October 2026 FinOps telemetry comparing Poolside: Laguna XS 2.1 (API ID: poolside/laguna-xs-2.1) vs Cohere: Command A (API ID: cohere/command-a), Poolside: Laguna XS 2.1 offers lower standard input pricing at $0.06/1M tokens ($0.12/1M output), while Poolside: Laguna XS 2.1 leads in cached prefix economics at $0.03/1M tokens (50% discount). Poolside: Laguna XS 2.1 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 | Poolside: Laguna XS 2.1 | Cohere: Command A | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | poolside/laguna-xs-2.1 | cohere/command-a | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.06 / $0.12 | $2.5 / $10 | Poolside: Laguna XS 2.1 |
| Cache Read Price (per 1M) | $0.03/1M (50% Off) | $1.25/1M (50% Off) | Poolside: Laguna XS 2.1 |
| Context Window / Max Output | 256K In / 32K Out | 250K In / 8K Out | Poolside: Laguna XS 2.1 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Poolside: Laguna XS 2.1 (-0ms) |
Laguna XS 2.1 is the latest coding agent model in the 33B-A3B category from [Poolside](https://poolside.ai/) and a step forward from their Laguna XS.2 model (released in April 2026
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
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 Poolside: Laguna XS 2.1 to Cohere: Command A
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 Verified P90 latency of 280ms.