Laguna XS 2.1

Poolside officially introduced Laguna XS 2.1 on July 2, 2026, as an upgraded version of its Laguna XS.2 coding model. Per the company's blog post, Laguna XS 2.1 is a 33B total-parameter Mixture-of-Experts model with 3B activated parameters per token, designed for agentic coding and long-horizon work on a local machine, The release emphasizes local deployment: Laguna XS 2.1 ships with launch-day support in vLLM, SGLang, NVIDIA TensorRT-LLM, Hugging Face transformers, and Ollama, with llama.cpp support coming soon. Poolside is publishing FP8, INT4, and NVFP4 quantized checkpoints, plans GGUF checkpoints alongside llama.cpp, and is open

The GPU Trade reported on July 5, 2026 that Poolside launched Laguna XS 2.1 on July 2, 2026 as an open-weight 33B MoE aimed at agentic coding and local inference. The piece cites the 33B total / ~3B activated parameters, a 262,144-token context window, 40 layers, and 256 experts, and highlights a 5.4-point jump on SWE- On-device efficiency is a focus of the coverage: Poolside and the Hugging Face listing point to KV-cache quantization to FP8, launch-day support in vLLM and TRT-LLM, and multiple quantized checkpoints (FP8, INT4, NVFP4) to reduce VRAM and accelerate inference. The story frames Laguna XS 2.1 as part of Poolside's broade

AIDeveloper44 published a technical deep-dive on July 4, 2026 covering Poolside's Laguna XS 2.1 release for local agentic coding. The piece describes the 33B total / 3B active MoE design with 256 individual experts plus one shared expert, routing each token through the top eight most relevant paths, and confirms the 25 On deployment, the article lists FP8, INT4, NVFP4, and GGUF checkpoints for local execution and highlights an open-weight 0.5B DFlash draft model for speculative decoding, citing measured speedups of 1.67x to 2.64x. The licensing is described as the Linux Foundation's permissive OpenMDW-1.1 framework, and the overall p

llm-stats lists Laguna XS 2.1 at an overall rank of 169 in its composite LLM Stats Score, with capability tiers of "Average / Top half" for reasoning (163 of 369) and "Bad / Below top half" for coding (138 of 273) and tool calling (187 of 200). The page shows a blended price around $0.10 per million tokens, positioning The benchmark table attributes scores to Poolside's own evaluation harness: SWE-bench Verified at 0.71 (rank 62), SWE-bench Multilingual at 0.63 (rank 33), and SWE-Bench Pro at 0.48 (rank 56), all using "Harbor + Poolside agent harness; thinking on; 256K ctx; temp=1.0, top_k=20, top_p=1" with mean pass@1 over 4 attempt

Kilo Code lists Poolside's Laguna XS 2.1 in its model directory with model ID poolside/laguna-xs-2.1, created July 2, 2026, exposed via OpenRouter pricing of $0.10 per 1M input tokens, $0.20 per 1M output tokens, and $0.05 per 1M cache-read tokens. The page confirms a 262,144-token context window with a 32,768-token ma Beyond pricing and feature flags, Kilo provides an independent Kilo Bench Terminal-Bench 2.0 evaluation showing 26.7% completion at an average $12.03 per benchmark attempt, framed as official Kilo eval results. An example cost calculation estimates analyzing a roughly 10,000-line codebase (about 40k input and 10k outpu

Poolside released Laguna XS 2.1 on Hugging Face on July 2, 2026, as an upgraded version of Laguna XS.2 with a +5.4 percentage-point gain on SWE-bench Multilingual and stronger terminal-style task performance. It is a 33B-total / 3B-active Mixture-of-Experts model trained with the Muon optimizer, sized to run locally on Architecture details include 40 transformer layers in a 3:1 ratio of mixed Sliding Window Attention to global attention (30 SWA / 10 global) using sigmoid gating with per-layer rotary scales, 256 routed experts plus 1 shared expert, a 512-token sliding window, FP8-quantized KV cache, native interleaved reasoning with p

Poolside's official release notes explicitly list Laguna XS 2.1 as a model release, describing it as an incremental update to Laguna XS.2 that adds native reasoning support and improves performance on multilingual coding and terminal-style tasks. The notes confirm the model supports a 256K context window and is positio The release notes index situates Laguna XS 2.1 within Poolside's broader model lineup, alongside the April 2026 releases of Laguna M.1 and Laguna XS.2, and the earlier Malibu 2.x series. This first-party versioning record confirms creator attribution and the model's lineage as part of Poolside's agentic-coding family,