Poolside / poolside/laguna-s-2.1
Laguna S 2.1 - access through LLMTR
The most capable Poolside option for multi-file refactors, repo-wide understanding, and long tool-driven tasks. A 262K context window and 32K output let it carry large changes in a single session, and reasoning can be toggled to trade quality against speed. It adds the most value in software engineering and agentic coding workflows rather than general chat.
Technical specifications
| Canonical ID | poolside/laguna-s-2.1 |
|---|---|
| Provider | Poolside |
| Context window | 262,144 tokens |
| Operations | CHAT_COMPLETIONS |
| Modalities | text |
Pricing
A 6% platform margin applies to credit top-ups; model usage prices are not separately marked up.
| Operation | Metric | Unit | Price |
|---|---|---|---|
| CHAT_COMPLETIONS | INPUT_TEXT | PER_1M_TOKENS | Not available |
| CHAT_COMPLETIONS | CACHE_READ | PER_1M_TOKENS | Not available |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | Not available |
Example usage
With existing OpenAI SDK flows, change only the base URL and model identifier.
curl https://llmtr.com/v1/chat/completions \
-H "Authorization: Bearer llmtr-your_key" \
-H "Content-Type: application/json" \
-d '{"model":"poolside/laguna-s-2.1","messages":[{"role":"user","content":"Hello"}]}'Related models
- Laguna XS 2.1 poolside/laguna-xs-2.1
- Gemma 4 llmtr/gemma-4
- Qwen 3.6 35B-A3B llmtr/qwen3-6-35b
- MedGemma 4B llmtr/medgemma-4b
- Trendyol 7B llmtr/trendyol-7b
- Magibu 11B v8 llmtr/magibu-11b-v8
- Sincap llmtr/sincap
- EmbeddingGemma 300M llmtr/embeddinggemma-300m