Choosing a Model
Pick the right AI model for your Nebula agents. Compare 300+ models from OpenAI, Anthropic, Google, Meta, and more for speed, cost, and capability.
Every agent in Nebula runs on an AI model. You can choose from over 300 models across providers like OpenAI, Anthropic, Google, Meta, DeepSeek, xAI, and more. The right model depends on what your agent does.
How to change an agent's model
Click the model badge in the agent details panel to open the model selector. Pick a model and it applies immediately. To reset to auto-routing, click the reset button in the selector. You can also ask Nebula in chat:
Switch my research agent to use GPT-4.1
Done! Your research agent now uses GPT-4.1. All existing channels and instructions are unchanged.
When to choose what
Best for high-volume tasks like monitoring, triage, and routine summaries.
Good for most work — research, writing, data analysis, multi-step tasks.
Use when quality matters most — complex reasoning, nuanced writing, detailed code review. Costs more and may be slower.
Auto-routing
By default, Nebula uses the Nebula LLM model — auto-routing that picks the right model for each task based on what's being asked:
We recommend the Nebula LLM model for most users because it balances cost and performance automatically.
This happens automatically. You don't have to think about it for day-to-day use. If you want a specific agent to always use a particular model, you can pin one from the agent's details panel by clicking the model badge.
See Credits for how Nebula Model Credits apply.
Model selection in automations
When building automated workflows, each step can optionally specify a model tier. This lets you use a fast model for a step that just fetches data and a more capable model for a step that analyzes and summarizes it. This is configured per-step in the recipe, not at the agent level.
Not sure which model to pick? Ask Nebula — it can recommend a model based on what your agent does.