Model Detail

Laguna-S-2.1 is a code generation model with 58.8B parameters released by poolside. The model is registered under the text-generation pipeline tag on Hugging Face, and supports text->text inputs, released under the openmdw-1.1 license.

Laguna-S-2.1 is priced at $0.1/M input tokens and $0.2/M output tokens. Operationally the model offers a 262K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. At this input rate the model sits in the commodity tier and is suitable for high-volume workloads where per-call cost dominates the decision.

Laguna-S-2.1 ships with 58.8B parameters. Total weight footprint is approximately 117.6 GB, which is the relevant figure when planning local-inference VRAM. Distribution is governed by the openmdw-1.1 license — review the exact terms before commercial deployment.

Downloads of Laguna-S-2.1 have moved -14.7% over the trailing seven days. That is a slight downtrend, consistent with normal cooling as newer models compete for the same workloads. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Laguna-S-2.1 is best fit for code completion, repository-scale Q&A, and pair-programming integrations, high-volume batch jobs where per-call cost dominates the budget, and long-context tasks such as full-codebase analysis or book-length summarization (262K tokens). It is a less obvious choice for one-shot generation of security-critical code without review. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.