Official model documentation
Fields: documentation
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. This model is an upgraded version of our Laguna XS.2 model with a +5.4% jump on SWE-bench Multilingual as well as stronger performance on terminal-style tasks.
- Context
- 262K
- Max output
- 33K
- Input
- $0.06
- Output
- $0.12
Recommended use cases
Strengths in this dataset
- 262,144-token context window
- text input
- 6 supported API parameters listed
Limits and caveats
- Provider behavior and pricing can change; verify the linked sources before production use.
Capability
Model-native facts
Model- Reasoning
- Supported
- Open weights
- Unknown
Provider endpoint facts
Provider endpoint- Tool calling
- Supported
- Structured output
- Not supported
- Streaming
- Unknown
- Prompt cache
- Supported
- Batch
- Unknown
- Fine-tuning
- Unknown
Laguna XS 2.1 Provider pricing
Provider endpoint: poolside/laguna-xs-2.1
- Input
- $0.06 per 1M tokens
- Output
- $0.12 per 1M tokens
- Cached input
- $0.03 per 1M tokens
- Image output
- Unknown per 1M tokens
Sources and verification
Hugging Face model card
Fields: tags, gated, license, summary, library name, pipeline tag
OpenRouter Models API
Fields: identity, description, modalities, context window, maximum output, pricing, supported parameters
Frequently asked questions
Answers are generated from the same sourced model and provider facts shown above.
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. This model is an upgraded version of our Laguna XS.2 model with a +5.4% jump on SWE-bench Multilingual as well as stronger performance on terminal-style tasks.
Model specifications and prices may vary by provider and change over time. AIToolly displays sources and verification dates so users can confirm critical details before production use.