Poolside: Agentic Coding Models for Long-Horizon Work

Poolside is a foundation model company offering a family of models built for agentic coding and long-horizon work. Its models can be used via API, terminal, editor, or applications to complete coding tasks.

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About this tool

Poolside is a foundation model company bringing intelligence to everywhere work gets done. Its mission is to drive abundance for humanity by creating artificial general intelligence. Poolside offers a family of models built for agentic coding and long-horizon work. These models can be used through the Poolside API, terminal, editor, or applications to complete coding tasks. The model family includes variants at different parameter scales, such as a 118B total parameter Mixture-of-Experts (MoE) model with 8B activated parameters per token and support for a context window of up to 1M tokens in thinking and no-thinking modes, a 225B total parameter model with 23B activated parameters, and a 33B total parameter MoE model with 3B activated parameters per token designed for agentic coding and long-horizon work on a local machine. The models are available through Baseten's Model Library and Frontier Gateway, OpenRouter, including a free endpoint and a dedicated 1M-context deployment, and Vercel AI Gateway. They are supported in vLLM, SGLang, NVIDIA TensorRT-LLM, HF transformers and Ollama. Poolside also offers the Poolside Platform, which deploys production-grade AI agents inside your security boundary with full auditability and governance, without cloud compromise.

Best for
  • Developers who need agentic coding in the terminal
  • Software engineers looking to integrate coding models via API
  • Users who need to run agentic coding models on a local machine
  • Teams handling long-horizon coding tasks
  • Organizations wanting to deploy AI agents inside their security boundary
Use cases
  • agentic coding in the terminal
  • sending model requests via the Poolside API
  • coding assistance in editors
  • building applications with Poolside models
  • running agentic coding tasks on a local machine
  • handling long-horizon coding tasks
Strengths
  • Models are purpose-built for agentic coding and long-horizon work
  • Multiple model sizes available, including 118B, 225B, and 33B total parameter variants
  • Supports context windows up to 1M tokens
  • Available through multiple platforms including Baseten, OpenRouter, and Vercel AI Gateway
  • Supported in major inference frameworks such as vLLM, SGLang, TensorRT-LLM, HF transformers, and Ollama
  • Free endpoint available
Limitations
  • Pricing model is unknown; specific pricing or free-tier limits are not disclosed
  • Learning curve is medium
  • Some models require specific platforms or installation steps (e.g., local execution requires support for frameworks like Ollama)

Features & use cases

Agentic coding model familyBuilt for long-horizon workMixture-of-Experts (MoE) architectureContext window up to 1M tokensThinking and no-thinking modesAvailable via Poolside APISupported in vLLM, SGLang, TensorRT-LLM, HF transformers, and OllamaAvailable through Baseten, OpenRouter, and Vercel AI GatewayFree endpoint availablePoolside Platform for deployment inside security boundary

At a glance

Monetization
  • Free
  • Freemium
Maturity signals
  • Open source
  • Public API
  • Model family
Learning curve
  • Medium

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