Google: Gemini 2.5 Pro vs Poolside: Laguna XS 2.1 (free): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemini 2.5 Pro (google/gemini-2.5-pro) vs Poolside: Laguna XS 2.1 (free) (poolside/laguna-xs-2.1:free). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemini 2.5 Pro (google/gemini-2.5-pro) — 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.
Poolside: Laguna XS 2.1 (free) (poolside/laguna-xs-2.1:free) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Poolside: Laguna XS 2.1 (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 Google: Gemini 2.5 Pro (API ID: google/gemini-2.5-pro) vs Poolside: Laguna XS 2.1 (free) (API ID: poolside/laguna-xs-2.1:free), Poolside: Laguna XS 2.1 (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while Poolside: Laguna XS 2.1 (free) leads in cached prefix economics at $0/1M tokens (50% discount). Google: Gemini 2.5 Pro 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 | Google: Gemini 2.5 Pro | Poolside: Laguna XS 2.1 (free) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-2.5-pro | poolside/laguna-xs-2.1:free | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.25 / $10 | $0 / $0 | Poolside: Laguna XS 2.1 (free) |
| Cache Read Price (per 1M) | $0.625/1M (50% Off) | $0/1M (50% Off) | Poolside: Laguna XS 2.1 (free) |
| Context Window / Max Output | 1024K In / 64K Out | 256K In / 32K Out | Google: Gemini 2.5 Pro |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemini 2.5 Pro (-0ms) |
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to
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
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 Google: Gemini 2.5 Pro to Poolside: Laguna XS 2.1 (free)
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 Verified P90 latency of 280ms.