OpenAI: o4 Mini High vs Poolside: Laguna XS 2.1 (free): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: o4 Mini High (openai/o4-mini-high) vs Poolside: Laguna XS 2.1 (free) (poolside/laguna-xs-2.1:free). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: o4 Mini High (openai/o4-mini-high) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
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 OpenAI: o4 Mini High (API ID: openai/o4-mini-high) 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). OpenAI: o4 Mini High 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 | OpenAI: o4 Mini High | Poolside: Laguna XS 2.1 (free) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/o4-mini-high | poolside/laguna-xs-2.1:free | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.1 / $4.4 | $0 / $0 | Poolside: Laguna XS 2.1 (free) |
| Cache Read Price (per 1M) | $0.55/1M (50% Off) | $0/1M (50% Off) | Poolside: Laguna XS 2.1 (free) |
| Context Window / Max Output | 195K In / 98K Out | 256K In / 32K Out | OpenAI: o4 Mini High |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: o4 Mini High (-0ms) |
OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fa
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 OpenAI: o4 Mini High 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.