Poolside: Laguna XS 2.1 vs Qwen: Qwen3 14B: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Poolside: Laguna XS 2.1 (poolside/laguna-xs-2.1) vs Qwen: Qwen3 14B (qwen/qwen3-14b). 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.
Qwen: Qwen3 14B (qwen/qwen3-14b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3 14B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.06/1M) 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 Qwen: Qwen3 14B (API ID: qwen/qwen3-14b), 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 | Qwen: Qwen3 14B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | poolside/laguna-xs-2.1 | qwen/qwen3-14b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.06 / $0.12 | $0.12 / $0.24 | Poolside: Laguna XS 2.1 |
| Cache Read Price (per 1M) | $0.03/1M (50% Off) | $0.06/1M (50% Off) | Poolside: Laguna XS 2.1 |
| Context Window / Max Output | 256K In / 32K Out | 40K In / 16K 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
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between
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 Qwen: Qwen3 14B
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between Verified P90 latency of 280ms.