Poolside: Laguna S 2.1 vs Qwen: Qwen2.5 7B Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Poolside: Laguna S 2.1 (poolside/laguna-s-2.1) vs Qwen: Qwen2.5 7B Instruct (qwen/qwen-2.5-7b-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Poolside: Laguna S 2.1 (poolside/laguna-s-2.1) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Poolside: Laguna S 2.1: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.045/1M) or route via asynchronous Batch API for 50% off standard token rates.
Qwen: Qwen2.5 7B Instruct (qwen/qwen-2.5-7b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen2.5 7B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.05/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Poolside: Laguna S 2.1 (API ID: poolside/laguna-s-2.1) vs Qwen: Qwen2.5 7B Instruct (API ID: qwen/qwen-2.5-7b-instruct), Poolside: Laguna S 2.1 offers lower standard input pricing at $0.09/1M tokens ($0.18/1M output), while Poolside: Laguna S 2.1 leads in cached prefix economics at $0.045/1M tokens (50% discount). Poolside: Laguna S 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 S 2.1 | Qwen: Qwen2.5 7B Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | poolside/laguna-s-2.1 | qwen/qwen-2.5-7b-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.09 / $0.18 | $0.1 / $0.2 | Poolside: Laguna S 2.1 |
| Cache Read Price (per 1M) | $0.045/1M (50% Off) | $0.05/1M (50% Off) | Poolside: Laguna S 2.1 |
| Context Window / Max Output | 1024K In / 128K Out | 32K In / 29K Out | Poolside: Laguna S 2.1 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Poolside: Laguna S 2.1 (-0ms) |
Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Term
Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabil
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 S 2.1 to Qwen: Qwen2.5 7B Instruct
Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabil Verified P90 latency of 280ms.