Qwen: Qwen3.7 Max vs Poolside: Laguna S 2.1 (free): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Qwen: Qwen3.7 Max (qwen/qwen3.7-max) vs Poolside: Laguna S 2.1 (free) (poolside/laguna-s-2.1:free). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Qwen: Qwen3.7 Max (qwen/qwen3.7-max) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3.7 Max: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.7375/1M) or route via asynchronous Batch API for 50% off standard token rates.
Poolside: Laguna S 2.1 (free) (poolside/laguna-s-2.1:free) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Poolside: Laguna S 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 Qwen: Qwen3.7 Max (API ID: qwen/qwen3.7-max) vs Poolside: Laguna S 2.1 (free) (API ID: poolside/laguna-s-2.1:free), Poolside: Laguna S 2.1 (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while Poolside: Laguna S 2.1 (free) leads in cached prefix economics at $0/1M tokens (50% discount). Qwen: Qwen3.7 Max 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 | Qwen: Qwen3.7 Max | Poolside: Laguna S 2.1 (free) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen3.7-max | poolside/laguna-s-2.1:free | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.475 / $4.425 | $0 / $0 | Poolside: Laguna S 2.1 (free) |
| Cache Read Price (per 1M) | $0.7375/1M (50% Off) | $0/1M (50% Off) | Poolside: Laguna S 2.1 (free) |
| Context Window / Max Output | 977K In / 128K Out | 256K In / 32K Out | Qwen: Qwen3.7 Max |
| P90 First-Token / Edge Latency | 280ms | 280ms | Qwen: Qwen3.7 Max (-0ms) |
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, o
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
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 Qwen: Qwen3.7 Max to Poolside: Laguna S 2.1 (free)
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 Verified P90 latency of 280ms.