Poolside Laguna S 2.1
Quick Answer
Laguna S 2.1 is Poolside’s open-weight coding model, released July 21, 2026. It’s a 118-billion-parameter Mixture-of-Experts system that activates roughly 8 billion parameters per token, supports up to a 1M-token context window, and is built specifically for agentic, multi-step software engineering. Poolside ships it under its own permissive license, OpenMDW-1.1, and the weights are free to download.
It sits alongside a smaller companion model, Laguna XS 2.1 (33B total parameters, 3B active), released July 2, 2026, also free on Hugging Face and OpenRouter.
Laguna S 2.1 is the model. pool, Poolside’s terminal coding agent, is a separate tool that can run on Laguna models or other providers.
What Laguna S 2.1 Is Best For
- Agentic coding on modest hardware: multi-step software-engineering tasks on a single GPU
- Long-context coding work: up to 1M tokens for full-repository context
- Open-weight deployment: self-hosting without needing a large multi-GPU cluster
- Cost-conscious coding agents: a smaller, cheaper alternative to running a frontier-scale model for coding tasks
Key Facts (Verified)
- Developer: Poolside AI
- Released: July 21, 2026
- Type: Open-weight Mixture-of-Experts model, 118B total parameters, ~8B active per token
- Context window: up to 1M tokens
- License: OpenMDW-1.1, a permissive open-weight license introduced by Poolside
- Availability: Hugging Face, OpenRouter
- Companion model: Laguna XS 2.1 (33B total / 3B active), released July 2, 2026
Poolside’s published benchmarks on Terminal-Bench 2.1 and SWE-Bench Pro show Laguna S 2.1 matching or beating several larger models, including DeepSeek-V4-Flash, Nvidia’s Nemotron 3 Ultra, and Thinking Machines’ Inkling. These are vendor-reported results, so confirm on your own coding workflows before relying on the comparison.
How to Access It
Self-hosted: download the weights from Hugging Face and run on a single capable GPU, no multi-GPU cluster required.
Hosted: use it through OpenRouter on a pay-per-use basis, no infrastructure setup needed.
As a coding agent: pair it with pool or another ACP-compatible coding agent for terminal or editor-based workflows.
Honest Limitations
- Still a serious model to self-host: “single GPU” means a capable one, not a laptop
- New license: OpenMDW-1.1 is Poolside’s own license, read the terms before commercial use
- Vendor benchmarks: Terminal-Bench and SWE-Bench Pro results come from Poolside, verify independently
- Narrower focus than general-purpose frontier models: built for coding, not a general chat replacement
Alternatives Worth Knowing
- GLM 5.2, a larger open-weight model also strong at coding, needs more hardware
- Kimi K3, Moonshot AI’s much larger open-weight frontier model
- DeepSeek, another open-leaning coding-capable model
- Tinker, Thinking Machines’ fine-tuning platform, useful if you want to customize an open model like this one
- pool, Poolside’s own coding-agent CLI
For the bigger picture on open-weight models, see Frontier Open Models Explained and Open Models vs Closed Models.
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Frequently Asked Questions
What is Laguna S 2.1 best for?
Laguna S 2.1 is best for agentic software-engineering tasks, multi-step coding work that involves planning, editing, and testing, where teams want an open-weight model that runs on a single GPU rather than a large multi-GPU cluster.
Is Laguna S 2.1 free?
The model weights are free to download under Poolside's OpenMDW-1.1 license, and it's available on Hugging Face and OpenRouter. Self-hosting still requires GPU hardware, and OpenRouter access is billed per use. Check official sources for current terms.
How big is Laguna S 2.1, and can it really run on one GPU?
It's a 118-billion-parameter Mixture-of-Experts model that activates only about 8 billion parameters per token, which is what makes single-GPU operation realistic. It supports a context window of up to 1M tokens.
How does Laguna S 2.1 compare to larger models?
Poolside reports that on Terminal-Bench 2.1 and SWE-Bench Pro, Laguna S 2.1 matches or exceeds models several times its size, including DeepSeek-V4-Flash and Nvidia's Nemotron 3 Ultra. These are the vendor's own published benchmark results; verify against your own coding tasks before depending on the comparison.
Is this the same thing as Poolside's pool CLI?
No. Laguna S 2.1 is the underlying model. pool is Poolside's separate coding-agent CLI that runs in the terminal or inside ACP-compatible editors, and it can be pointed at Laguna models among others.
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