Available Models
This page lists all language models available for AI Agents, including supported providers and reasoning capabilities. Choose the best option for your use case based on performance, speed, and reasoning support.
Available Models List Copy link
We provide access to the following large language models:
|
Provider |
Model |
Reasoning |
|
OpenAI |
GPT 4.1 |
❌ |
|
OpenAI |
GPT 4.1 Mini |
❌ |
|
OpenAI |
GPT 4o |
❌ |
|
OpenAI |
GPT 5.1 |
✅ |
|
OpenAI |
GPT 5.2 |
✅ |
|
OpenAI |
GPT 5.3 Codex |
✅ |
|
OpenAI |
GPT 5.4 |
✅ |
|
OpenAI |
GPT 5.4 Mini |
✅ |
|
OpenAI |
GPT 5.4 Nano |
✅ |
|
OpenAI |
GPT 5.5 |
✅ |
|
OpenAI |
GPT 5.6 Luna |
✅ |
|
OpenAI |
GPT 5.6 Sol |
✅ |
|
OpenAI |
GPT 5.6 Terra |
✅ |
|
OpenAI |
GPT 6 Astra |
✅ |
|
DeepSeek |
DeepSeek V4 Flash |
✅ |
|
DeepSeek |
DeepSeek V4.1 Flash |
✅ |
|
DeepSeek |
DeepSeek V4 Pro |
✅ |
|
xAI |
Grok Code Fast |
✅ |
|
xAI |
Grok 4.3 |
✅ |
|
xAI |
Grok 4.5 |
✅ |
|
xAI |
Grok 4.6 |
✅ |
|
Google AI |
Gemini 3.1 Pro Preview |
✅ |
|
Google AI |
Gemini 3.1 Flash Lite |
✅ |
|
Google AI |
Gemini 3.5 Flash |
✅ |
|
Google AI |
Gemini 3.6 Flash |
✅ |
|
Google AI |
Gemini 3.7 Flash |
✅ |
|
Google AI |
Gemini 3.8 Flash |
✅ |
|
Anthropic |
Claude Haiku 4.5 |
✅ |
|
Anthropic |
Claude Sonnet 4.6 |
✅ |
|
Anthropic |
Claude Sonnet 5 |
✅ |
|
Anthropic |
Claude Opus 4.6 |
✅ |
|
Anthropic |
Claude Opus 4.7 |
✅ |
|
Anthropic |
Claude Opus 4.8 |
✅ |
|
Anthropic |
Claude Opus 5 |
✅ |
|
Anthropic |
Claude Fable 5 |
✅ |
|
Anthropic |
Claude Fable 5.1 |
✅ |
|
Qwen |
Qwen 3 Max |
❌ |
|
Qwen |
Qwen 3.7 Max |
✅ |
|
Qwen |
Qwen 3.8 Max |
✅ |
|
Qwen |
Qwen 3.5 Flash |
✅ |
|
Qwen |
Qwen 3.6 Flash |
✅ |
|
Qwen |
Qwen 3.5 Plus |
✅ |
|
Qwen |
Qwen 3.6 Plus |
✅ |
|
Qwen |
Qwen 3.7 Plus |
✅ |
|
Moonshot |
Kimi K2.6 |
✅ |
|
Moonshot |
Kimi K2.7 Code |
✅ |
|
Moonshot |
Kimi K3 |
✅ |
|
Z.ai |
GLM 4.7 FlashX |
✅ |
|
Z.ai |
GLM 4.7 |
✅ |
|
Z.ai |
GLM 5.2 |
✅ |
|
Z.ai |
GLM 5.3 |
✅ |
|
Z.ai |
GLM 5.3 Flash |
✅ |
Reasoning Models Copy link
If a model displays a brain icon, it supports reasoning mode.
In this mode, the model generates intermediate reasoning steps before producing the final answer. It asks itself clarifying questions and answers them internally. This helps produce more accurate and well-structured responses, especially for complex tasks.
Each reasoning step requires additional input and output text, which increases token usage.
If a particular model supports both reasoning and non-reasoning modes, you can enable or disable its Thinking mode in the Playground:
