Models

Deep Agents work with any LangChain chat model that supports tool calling.

Pass a model string

The simplest way to specify a model is to pass a string to create_deep_agent. Use the provider:model format to select a specific provider:

agent = create_deep_agent(model="openai:gpt-5.3-codex")

Under the hood, this calls init_chat_model with default parameters.

Configure model parameters

To configure model-specific parameters, use init_chat_model or instantiate a provider model class directly:

init_chat_model

from langchain.chat_models import init_chat_model
from deepagents import create_deep_agent

model = init_chat_model(
    model="anthropic:claude-sonnet-4-6",
    thinking={"type": "enabled", "budget_tokens": 10000},  
)
agent = create_deep_agent(model=model)

from langchain_anthropic import ChatAnthropic
from deepagents import create_deep_agent

model = ChatAnthropic(
    model="claude-sonnet-4-6",
    thinking={"type": "enabled", "budget_tokens": 10000},  
)
agent = create_deep_agent(model=model)

Available parameters vary by provider. See the chat model integrations page for provider-specific configuration options.

Supported models

Deep Agents work with any chat model that supports tool calling. See chat model integrations for the full list of supported providers.

Suggested models

These models perform well on the Deep Agents eval suite, which tests basic agent operations. Passing these evals is necessary but not sufficient for strong performance on longer, more complex tasks.

Provider	Models
Anthropic	claude-opus-4-6, claude-opus-4-5, claude-sonnet-4-6, claude-sonnet-4, claude-sonnet-4-5, claude-haiku-4-5, claude-opus-4-1
OpenAI	gpt-5.4, gpt-4o, gpt-4.1, o4-mini, gpt-5.2-codex, gpt-4o-mini, o3
Google	gemini-3-flash-preview, gemini-3.1-pro-preview
Open-weight	GLM-5, Kimi-K2.5, MiniMax-M2.5, qwen3.5-397B-A17B, devstral-2-123B

Open-weight models are available through providers like Baseten, Fireworks OpenRouter, and Ollama.

Learn more

• Models in LangChain: chat model features including tool calling, structured output, and multimodality

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