Poolside: Laguna XS 2.1 pricing
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). Poolside: Laguna XS 2.1 from OpenRouter costs $0.060 per 1M input tokens and $0.120 per 1M output tokens. Cached input is $0.030 per 1M. Context window 262,144 tokens.
API id poolside/laguna-xs-2.1 · OpenRouter · source · updated 2026-09-25 · general-purpose
$0.060
Input / 1M tokens
$0.120
Output / 1M tokens
$0.030
Cached input / 1M
262K
Context window
Poolside: Laguna XS 2.1 specifications
- Provider
- OpenRouter
- API id
poolside/laguna-xs-2.1- Model type
- general-purpose
- Context window
- 262K tokens
- Max output
- 33K tokens
- Currency
- USD
- Price source
- Provider API
- Last checked
- 2026-09-25
What Poolside: Laguna XS 2.1 costs in practice
| Workload | Input tokens | Output tokens | Estimated cost |
|---|---|---|---|
| Short chat turn | 1,000 | 500 | $0.0001 |
| Document summary | 50,000 | 2,000 | $0.0032 |
| 1M tokens in, 200K out | 1,000,000 | 200,000 | $0.08 |
Estimates use the standard tier and ignore caching discounts, so real bills with repeated prompt prefixes are typically lower.
Common questions
- How much does Poolside: Laguna XS 2.1 cost per 1M tokens?
- Poolside: Laguna XS 2.1 costs $0.060 per 1M input tokens and $0.120 per 1M output tokens on the standard tier. Cached input is $0.030 per 1M.
- What is Poolside: Laguna XS 2.1's context window?
- Poolside: Laguna XS 2.1 accepts up to 262,144 tokens in a single request, and can return up to 32,768 output tokens.
- Is there a cheaper OpenRouter model than Poolside: Laguna XS 2.1?
- Yes. Mistral: Mistral Nemo is $0.019 per 1M input tokens versus $0.060 for Poolside: Laguna XS 2.1, with a 131,072 token context window.
- Where does this Poolside: Laguna XS 2.1 price come from?
- From the OpenRouter catalogue, because OpenRouter does not publish machine-readable pricing. OpenRouter is a reseller, so its rate can differ from OpenRouter's own — verify before committing spend.
Head-to-head comparisons
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