--- title: Poolside: Laguna M.1 API | Text Generation | ModelsLab description: Build with Poolside: Laguna M.1 API by Poolside. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/poolside/poolside-laguna-m.1.md canonical: https://modelslab.com/models/poolside/poolside-laguna-m.1.md type: product component: Playground/LLM/Index generated_at: 2026-06-19T20:41:16.107700Z --- Poolside: Laguna M.1 --- [LLMs.txt](https://modelslab.com/models/open_router/poolside-laguna-m.1/llms.txt) [.md](https://modelslab.com/models/poolside/poolside-laguna-m.1.md) Poolside: Laguna M.1 --- 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 M.1 poolside poolside-laguna-m.1 Copy model ID PricingInput $0.20 / 1M tokens Output $0.40 / 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) [#### open\_router/MoonshotAI: Kimi K2 0711 moonshotai-kimi-k2 From $1.44/M tokens](https://modelslab.com/models/open_router/moonshotai-kimi-k2) [#### open\_router/Qwen: Qwen3.5 397B A17B qwen-qwen3.5-397b-a17b From $1.42/M tokens](https://modelslab.com/models/open_router/qwen-qwen3.5-397b-a17b) [#### open\_router/Amazon: Nova Micro 1.0 amazon-nova-micro-v1 From $0.09/M tokens](https://modelslab.com/models/open_router/amazon-nova-micro-v1) [#### open\_router/LiquidAI: LFM2.5-1.2B-Thinking (free) liquid-lfm-2.5-1.2b-thinking-free Free](https://modelslab.com/models/open_router/liquid-lfm-2.5-1.2b-thinking-free) [#### open\_router/Meta: Llama Guard 4 12B meta-llama-llama-guard-4-12b From $0.18/M tokens](https://modelslab.com/models/open_router/meta-llama-llama-guard-4-12b) [#### open\_router/Qwen: Qwen3 VL 8B Thinking qwen-qwen3-vl-8b-thinking From $0.74/M tokens](https://modelslab.com/models/open_router/qwen-qwen3-vl-8b-thinking) [#### open\_router/Relace: Relace Search relace-relace-search From $2.00/M tokens](https://modelslab.com/models/open_router/relace-relace-search) [#### open\_router/Mistral: Mistral Small 3.2 24B mistralai-mistral-small-3.2-24b-instruct From $0.14/M tokens](https://modelslab.com/models/open_router/mistralai-mistral-small-3.2-24b-instruct) [#### google\_deepmind/Gemma 3N E4B Instruct google-gemma-3n-E4B-it From $0.09/M tokens](https://modelslab.com/models/google_deepmind/google-gemma-3n-E4B-it) [#### open\_router/Qwen: Qwen3 14B qwen-qwen3-14b From $0.17/M tokens](https://modelslab.com/models/open_router/qwen-qwen3-14b) [#### mistral\_ai/Mistral (7B) Instruct v0.3 mistralai-Mistral-7B-Instruct-v0.3 From $0.20/M tokens](https://modelslab.com/models/mistral_ai/mistralai-Mistral-7B-Instruct-v0.3) [#### open\_router/Google: Gemma 3n 4B google-gemma-3n-e4b-it From $0.09/M tokens](https://modelslab.com/models/open_router/google-gemma-3n-e4b-it) [#### open\_router/Z.ai: GLM 4.5 z-ai-glm-4.5 From $1.40/M tokens](https://modelslab.com/models/open_router/z-ai-glm-4.5) [#### together\_ai/EssentialAI Rnj-1 Instruct essentialai-rnj-1-instruct From $0.15/M tokens](https://modelslab.com/models/together_ai/essentialai-rnj-1-instruct) [#### open\_router/Google: Gemini 3 Flash Preview google-gemini-3-flash-preview From $1.75/M tokens](https://modelslab.com/models/open_router/google-gemini-3-flash-preview) [#### open\_router/TheDrummer: Skyfall 36B V2 thedrummer-skyfall-36b-v2 From $0.68/M tokens](https://modelslab.com/models/open_router/thedrummer-skyfall-36b-v2) [#### open\_router/inclusionAI: Ring-2.6-1T inclusionai-ring-2.6-1t From $0.35/M tokens](https://modelslab.com/models/open_router/inclusionai-ring-2.6-1t) [#### openai/gpt-oss-20b gpt-oss-20b From $0.08/M tokens](https://modelslab.com/models/openai/gpt-oss-20b) 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) [MU Popular](https://modelslab.com/models/modelslab/uncensored-chat)[ModelsLab](https://modelslab.com/models/modelslab) [Modelslab: Uncensored Chat Open Source Model](https://modelslab.com/models/modelslab/uncensored-chat) About Poolside: Laguna M.1 --- Laguna M.1 is the flagship coding agent model from \[Poolside\](https://poolside.ai/), optimized for complex software engineering tasks. Designed for agentic coding workflows, it supports tool calling and reasoning, with a 256K... ### Technical Specifications Model IDpoolside-laguna-m.1 CategoryLLM Models TaskText Generation Price$0.3 per million tokens AddedJune 18, 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 M.1 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-m.1", "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}") ``` ### Pricing Poolside: Laguna M.1 API costs $0.300000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/pricing) ### 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 M.1 FAQ --- ### What is Poolside: Laguna M.1? Laguna M.1 is the flagship coding agent model from \[Poolside\](https://poolside.ai/), optimized for complex software engineering tasks. Designed for agentic coding workflows, it supports tool calling and reasoning, with a 256K... ### How do I use the Poolside: Laguna M.1 API? You can integrate Poolside: Laguna M.1 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "poolside-laguna-m.1" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Poolside: Laguna M.1 cost? Poolside: Laguna M.1 costs $0.300000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the Poolside: Laguna M.1 model ID? The model ID for Poolside: Laguna M.1 is "poolside-laguna-m.1". Use this ID in your API requests to specify this model. ### Does Poolside: Laguna M.1 have a free tier? Yes, ModelsLab offers a free tier that lets you try Poolside: Laguna M.1 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 - 2026-06-20*