Best AI Models for AI Agents
Models tuned for agentic workloads, reliable tool-calling, long-horizon tasks and function calling. All OpenAI-compatible on thalam, so your agent framework works unchanged.
- 1AIGPT-6 Astra$10.00 / 1M · 1M context · Medium
OpenAI's GPT-6 generation. Frontier reasoning with a 1M-token context, image input, and adjustable reasoning effort.
- 2AIGPT-5.6 Sol$5.00 / 1M · 1M context · Medium
The top tier of OpenAI's GPT-5.6 generation. Frontier reasoning, coding, and agentic work with a 1M-token context and image input.
- 3AIGPT-5.6 Terra$2.00 / 1M · 1M context · Medium
The balanced tier of OpenAI's GPT-5.6 generation. Same 1M-token context and image input, tuned for everyday production work.
- 4AIGPT-5.6 Luna$0.20 / 1M · 1M context · Fast
The fast, high-volume tier of OpenAI's GPT-5.6 generation. Keeps the 1M-token context and image input at the lowest rate in the family.
- 5KMKimi K3$3.00 / 1M · 1M context · Medium
Moonshot's new flagship generation. A 1M-token context and the strongest measured reasoning in our catalog.
- 6DSDeepSeek V4.1 Flash$0.300 / 1M · 1M context · Fast
DeepSeek's V4.1 Flash. A 1M-token context and a 384K output ceiling, with image input, tool calling and reasoning built in.
One OpenAI-compatible endpoint for every model above. Pay per token, no subscription, credits never expire.
FAQ
What is the best AI model for building agents?
Frontier models with strong, reliable tool-calling (GPT, Claude, Gemini, Grok, Kimi, DeepSeek) are the safest choice for multi-step agents. Every one speaks the OpenAI function-calling format on thalam, so LangChain, LlamaIndex and the OpenAI SDK work as-is.
Can I switch the model behind my agent without a rewrite?
Yes. Because thalam is OpenAI-compatible, changing the model is a config change, swap the model id and keep the same agent code, tools and framework.