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AI123AI ModelspoolsideLaguna XS 2.1
Laguna XS 2.1

Laguna XS 2.1

poolside

Laguna XS 2.1 is the latest coding agent model in the 33B-A3B category from Poolside and a step forward from their Laguna XS.2 model (released in April 2026). It combines tool calling and reasoning capabilities with a compact footprint, offering a 256K context window and up to 32K output tokens. Quantized to FP8 for fast, cost-efficient agentic coding workflows.

Laguna XS 2.1 is designed for software engineering and agentic coding use cases, and you are responsible for confirming that it is appropriate for your intended application. Laguna XS 2.1 is subject to the OpenMDW-1.1 License, and should be used consistently with Poolside's Acceptable Use Policy. We advise against circumventing Laguna XS 2.1 safety guardrails without implementing substantially equivalent mitigations appropriate for your use case.

Please report security vulnerabilities or safety concerns to security@poolside.ai.

If you are using Laguna XS 2.1 for free, we may use your inputs and outputs to train and improve our models.

Modalities
TT
Input / output price
$0.06/$0.12per 1M tokens
Context
262K
Released
2026-07-02
PricingRelated Models

Pricing

Usage prices in USD. Token rates are per one million tokens; other billing units are shown with each charge.
InputOutputCache read
$0.06/ 1M tokens$0.12/ 1M tokens$0.03/ 1M tokens

Related Models

Laguna S 2.1

Laguna S 2.1

poolside

Laguna S 2.1 is the latest coding agent model from Poolside. Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and 40.4% on DeepSWE, making it one of the strongest coding models in its category. Open-weight under the OpenMDW-1.1 license. Laguna S 2.1 is designed for software engineering and agentic coding use cases, and you are responsible for confirming that it is appropriate for your intended application. Laguna S 2.1 is subject to the OpenMDW-1.1 License, and should be used consistently with Poolside's Acceptable Use Policy. We advise against circumventing Laguna S 2.1 safety guardrails without implementing substantially equivalent mitigations appropriate for your use case. Please report security vulnerabilities or safety concerns to security@poolside.ai. If you are using Laguna S 2.1 for free, we may use your inputs and outputs to train and improve our models.

Context
1.0M
Max output
131.1K
Released
2026-07-21
Input
$0.09/M
Output
$0.18/M
Cache read
$0.009/M
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