Run Poolside Laguna XS 2.1 for Local Agentic Coding Tests

Poolside Laguna XS 2.1 is a compact Mixture-of-Experts coding model built for agentic coding and long-horizon software work. Poolside says it has 33B total parameters, 3B active parameters per token, a 256K context window through its API and OpenRouter, and stronger results than Laguna XS.2 on SWE-bench Multilingual and terminal-style tasks.

Use this as a practical evaluation target, not as a blind replacement for your current coding model. Good tests include repository navigation, multi-step bug fixes, shell-heavy tasks, tool-call formatting, and cost per completed change. The model is available as weights on Hugging Face and can also be tried through OpenRouter, including a free endpoint where availability and data-use terms should be checked before sending sensitive code.

Useful checks before adopting it:

• Confirm the license and acceptable-use terms for your deployment.
• Compare BF16, FP8, NVFP4, INT4, and GGUF variants against your hardware budget.
• Preserve reasoning history when your harness supports it, because Poolside documents the model as reasoning-capable between tool calls.
• Test vLLM, SGLang, Transformers, TensorRT-LLM, Ollama, or llama.cpp support with your actual agent stack.
• Avoid sending proprietary code to free hosted endpoints unless the provider terms match your data policy.

This is Loot rather than a blog post because the main value is direct use: model page, weights, hosted endpoint, and implementation notes.