--- title: Poolside: Laguna S 2.1 (free) | Text Generation | ModelsLab description: Build with Poolside: Laguna S 2.1 (free) API by Poolside. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/poolside/poolside-laguna-s-2.1-free.md canonical: https://modelslab.com/models/poolside/poolside-laguna-s-2.1-free type: product component: Playground/LLM/Index generated_at: 2026-07-21T22:54:40.193940Z --- Poolside: Laguna S 2.1 (free) --- [LLMs.txt](https://modelslab.com/models/poolside/poolside-laguna-s-2.1-free/llms.txt) [.md](https://modelslab.com/models/poolside/poolside-laguna-s-2.1-free.md) Poolside: Laguna S 2.1 (free) --- Choose a prompt below to get started or type your own message Explain quantum computing in simple terms Write a Python function to sort a list Create a marketing email for a SaaS product Compare REST vs GraphQL APIs Send ### Poolside: Laguna S 2.1 (free) poolside poolside-laguna-s-2.1-free Copy model ID PricingInput $0.00 / 1M tokens Output $0.00 / 1M tokens API EndpointsOpenAI Compatible `https://modelslab.com/api/v7/llm/chat/completions`Endpoint Anthropic Compatible `https://modelslab.com/api/v7/llm/v1/messages`Messages `https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens `https://modelslab.com/api/v7/llm/v1/models`Models Use with Claude Code cURL Example ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses. Temperature0.7 Max Tokens1000 Top P0.9 Frequency Penalty0 Presence Penalty0 Model Info Support Related Models --- Discover similar models you might be interested in [View all LLM Models](https://modelslab.com/models?feature=llmaster) [#### qwen/Qwen: Qwen3.7 Plus qwen-qwen3.7-plus From $0.80/M tokens](https://modelslab.com/models/qwen/qwen-qwen3.7-plus) [#### aion-labs/AionLabs: Aion-2.0 aion-labs-aion-2.0 From $1.20/M tokens](https://modelslab.com/models/aion-labs/aion-labs-aion-2.0) [#### deepseek/DeepSeek: DeepSeek V3.1 Terminus deepseek-deepseek-v3.1-terminus From $0.64/M tokens](https://modelslab.com/models/deepseek/deepseek-deepseek-v3.1-terminus) [#### z-ai/Z.ai: GLM 5.1 z-ai-glm-5.1 From $2.00/M tokens](https://modelslab.com/models/z-ai/z-ai-glm-5.1) [#### nousresearch/Nous: Hermes 4 405B nousresearch-hermes-4-405b From $2.00/M tokens](https://modelslab.com/models/nousresearch/nousresearch-hermes-4-405b) [#### meta/Llama 4 Maverick Instruct (17Bx128E) meta-llama-Llama-4-Maverick-17B-128E-Instruct-FP8 From $0.56/M tokens](https://modelslab.com/models/meta/meta-llama-Llama-4-Maverick-17B-128E-Instruct-FP8) [#### ibm-granite/IBM: Granite 4.0 Micro ibm-granite-granite-4.0-h-micro From $0.06/M tokens](https://modelslab.com/models/ibm-granite/ibm-granite-granite-4.0-h-micro) [#### google/Google: Gemma 3 27B google-gemma-3-27b-it From $0.20/M tokens](https://modelslab.com/models/google/google-gemma-3-27b-it) [#### arize-ai/Arize AI Qwen 2 1.5B Instruct arize-ai-qwen-2-1.5b-instruct From $0.10/M tokens](https://modelslab.com/models/arize-ai/arize-ai-qwen-2-1.5b-instruct) [#### nousresearch/Nous: Hermes 3 405B Instruct nousresearch-hermes-3-llama-3.1-405b From $1.00/M tokens](https://modelslab.com/models/nousresearch/nousresearch-hermes-3-llama-3.1-405b) [#### mistralai/Mistral: Ministral 3 14B 2512 mistralai-ministral-14b-2512 From $0.20/M tokens](https://modelslab.com/models/mistralai/mistralai-ministral-14b-2512) [#### anthropic/Anthropic: Claude Sonnet 5 anthropic-claude-sonnet-5 From $6.00/M tokens](https://modelslab.com/models/anthropic/anthropic-claude-sonnet-5) [#### inception/Inception: Mercury 2 inception-mercury-2 From $0.50/M tokens](https://modelslab.com/models/inception/inception-mercury-2) [#### qwen/Qwen: Qwen3.6 27B qwen-qwen3.6-27b From $1.57/M tokens](https://modelslab.com/models/qwen/qwen-qwen3.6-27b) [#### qwen/Qwen2.5 Coder 32B Instruct qwen-qwen-2.5-coder-32b-instruct From $0.83/M tokens](https://modelslab.com/models/qwen/qwen-qwen-2.5-coder-32b-instruct) [#### mistralai/Mistral: Mistral Nemo mistralai-mistral-nemo From $0.02/M tokens](https://modelslab.com/models/mistralai/mistralai-mistral-nemo) [#### amazon/Amazon: Nova Micro 1.0 amazon-nova-micro-v1 From $0.09/M tokens](https://modelslab.com/models/amazon/amazon-nova-micro-v1) [#### deepseek/DeepSeek R1 Distill Qwen 14B deepseek-ai-DeepSeek-R1-Distill-Qwen-14B From $1.60/M tokens](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-14B) Open Source Alternatives --- Explore open-source models that offer similar capabilities with full transparency and flexibility [View all open source models](https://modelslab.com/models?feature=llm&provider=open-source-models) [MC Popular](https://modelslab.com/models/modelslab/uncensored-chat)[ModelsLab](https://modelslab.com/models/modelslab) [Modelslab: Custom LLM Open Source Model](https://modelslab.com/models/modelslab/uncensored-chat) About Poolside: Laguna S 2.1 (Free) --- 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... ### Technical Specifications Model IDpoolside-laguna-s-2.1-free CategoryLLM Models TaskText Generation AddedJuly 21, 2026 ### Key Features - Chat completion and multi-turn conversation API - Streaming response with token-by-token output - Function calling and tool use support - System prompts and role-based messaging - JSON mode and structured output ### Quick Start Integrate Poolside: Laguna S 2.1 (Free) into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started. PythonJavaScriptcURLPHP ``` import requests import json url = "https://modelslab.com/api/v7/llm/chat/completions" headers = { "Content-Type": "application/json" } data = { "model_id": "poolside-laguna-s-2.1-free", "messages": [ { "role": "user", "content": "Hello!" } ], "max_tokens": 1000, "key": "YOUR_API_KEY" } try: response = requests.post(url, headers=headers, json=data) response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX) result = response.json() print("API Response:") print(json.dumps(result, indent=2)) except requests.exceptions.HTTPError as http_err: print(f"HTTP error occurred: {http_err} - {response.text}") except Exception as err: print(f"Other error occurred: {err}") ``` ### Use Cases - AI chatbots and virtual assistants - Code generation and developer tools - Content writing and copywriting automation - Data analysis, summarization, and extraction [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Poolside](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing) Poolside: Laguna S 2.1 (Free) FAQ --- ### What is Poolside: Laguna S 2.1 (Free)? 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... ### How do I use the Poolside: Laguna S 2.1 (Free) API? You can integrate Poolside: Laguna S 2.1 (Free) into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "poolside-laguna-s-2.1-free" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### What is the Poolside: Laguna S 2.1 (Free) model ID? The model ID for Poolside: Laguna S 2.1 (Free) is "poolside-laguna-s-2.1-free". Use this ID in your API requests to specify this model. ### Does Poolside: Laguna S 2.1 (Free) have a free tier? Yes, ModelsLab offers a free tier that lets you try Poolside: Laguna S 2.1 (Free) and other AI models. Sign up to get free API credits and start building immediately. --- *This markdown version is optimized for AI agents and LLMs.* **Links:** - [Website](https://modelslab.com) - [API Documentation](https://docs.modelslab.com) - [Blog](https://modelslab.com/blog) --- *Generated by ModelsLab - 2026-07-22*