OpenAI: GPT-4o-mini (batch) vs Poolside: Laguna XS 2.1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-4o-mini (batch) (openai/gpt-4o-mini:batch) vs Poolside: Laguna XS 2.1 (poolside/laguna-xs-2.1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-4o-mini (batch) (openai/gpt-4o-mini:batch) 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 (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.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-4o-mini (batch) (API ID: openai/gpt-4o-mini:batch) vs Poolside: Laguna XS 2.1 (API ID: poolside/laguna-xs-2.1), 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). OpenAI: GPT-4o-mini (batch) 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: GPT-4o-mini (batch) | Poolside: Laguna XS 2.1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-4o-mini:batch | poolside/laguna-xs-2.1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.075 / $0.3 | $0.06 / $0.12 | Poolside: Laguna XS 2.1 |
| Cache Read Price (per 1M) | $0.0375/1M (50% Off) | $0.03/1M (50% Off) | Poolside: Laguna XS 2.1 |
| Context Window / Max Output | 125K In / 16K Out | 256K In / 32K Out | Poolside: Laguna XS 2.1 |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-4o-mini (batch) (-0ms) |
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is m
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: GPT-4o-mini (batch) to Poolside: Laguna XS 2.1
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.