Models Reference

Reliant supports models from multiple providers. Use the model ID in workflow configurations and presets.

Note: Reliant has been most extensively tested with Anthropic and OpenAI models. You may encounter issues when using other providers.

Model Tags

Models are tagged to help with selection. You can also bring your own model with your own provider.

Tag	Description
`flagship`	Most capable models, best quality
`moderate`	Balance of capability and cost
`fast`	Optimized for speed
`cheap`	Low cost per token
`reasoning`	Extended thinking capabilities

Capabilities Legend

Symbol	Meaning
🛠️	Supports tool use
📎	Supports attachments (images, PDFs)
💾	Supports prompt caching
⚡	Supports streaming
💡	Extended reasoning/thinking

Anthropic (Claude)

Model ID	Name	Tags	Context	Capabilities	Providers
`claude-4.5-haiku`	Claude 4.5 Haiku	fast, cheap	200K	🛠️ 📎 💾 ⚡	anthropic, openrouter, reliant
`claude-4.5-opus`	Claude 4.5 Opus	flagship, reasoning	200K	🛠️ 📎 💾 ⚡ 💡	anthropic, openrouter, reliant
`claude-4.5-sonnet`	Claude 4.5 Sonnet	moderate, reasoning	200K	🛠️ 📎 💾 ⚡ 💡	anthropic, openrouter, reliant
`claude-4.6-opus`	Claude 4.6 Opus	flagship, reasoning	200K	🛠️ 📎 💾 ⚡ 💡	anthropic, openrouter, reliant
`claude-4.6-sonnet`	Claude 4.6 Sonnet	moderate, reasoning	200K	🛠️ 📎 💾 ⚡ 💡	anthropic, openrouter, reliant

Note: All Claude models support attachments (images, PDFs) and prompt caching.

OpenAI (GPT)

Model ID	Name	Tags	Context	Capabilities	Providers
`gpt-5.2`	GPT-5.2	moderate, reasoning	400K	🛠️ 📎 💾 ⚡ 💡	openai, openrouter
`gpt-5.2-codex`	GPT-5.2 Codex	flagship, reasoning	400K	🛠️ 📎 💾 ⚡ 💡	codex, openai, openrouter
`gpt-5.2-pro`	GPT-5.2 Pro	moderate, reasoning	400K	🛠️ 📎 💾 ⚡ 💡	openai, openrouter
`gpt-5.3-codex`	GPT-5.3 Codex	flagship, reasoning	400K	🛠️ 📎 💾 ⚡ 💡	codex, openai, openrouter
`gpt-5.3-codex-spark`	GPT-5.3 Codex Spark	fast, reasoning	128K	🛠️ 💾 ⚡ 💡	codex
`gpt-5.4`	GPT-5.4	flagship, moderate, reasoning	1M	🛠️ 📎 💾 ⚡ 💡	codex, openai, openrouter
`gpt-5.4-mini`	GPT-5.4 Mini	fast, cheap	400K	🛠️ 📎 💾 ⚡ 💡	codex, openai, openrouter
`gpt-5.4-pro`	GPT-5.4 Pro	flagship, reasoning	1M	🛠️ 📎 ⚡ 💡	openai
`gpt-5.5`	GPT-5.5	flagship, moderate, reasoning	1M	🛠️ 📎 💾 ⚡ 💡	codex, openai, openrouter

Note: OpenAI’s GPT models with varying context windows and capabilities.

Google (Gemini)

Model ID	Name	Tags	Context	Capabilities	Providers
`gemini-2.5-flash`	Gemini 2.5 Flash	fast, cheap	1M	🛠️ 📎 ⚡	gemini, openrouter, reliant
`gemini-2.5-flash-lite`	Gemini 2.5 Flash Lite	cheap, fast	1M	🛠️ 📎 ⚡	gemini, openrouter, reliant
`gemini-2.5-pro`	Gemini 2.5 Pro	moderate, reasoning	1M	🛠️ 📎 ⚡ 💡	gemini, openrouter, reliant
`gemini-3-flash-preview`	Gemini 3 Flash Preview	fast	1M	🛠️ 📎 ⚡	gemini, openrouter, reliant
`gemini-3-pro-preview`	Gemini 3 Pro Preview	flagship, reasoning	1M	🛠️ 📎 ⚡ 💡	gemini, openrouter
`gemini-3.1-flash-lite-preview`	Gemini 3.1 Flash-Lite Preview	cheap, fast	1M	🛠️ 📎 ⚡	gemini
`gemini-3.1-pro-preview`	Gemini 3.1 Pro Preview	flagship, reasoning	1M	🛠️ 📎 💾 ⚡ 💡	gemini, openrouter, reliant
`gemini-3.1-pro-preview-customtools`	Gemini 3.1 Pro Preview (Custom Tools)	reasoning	1M	🛠️ 📎 💾 ⚡ 💡	gemini

Note: Google’s Gemini models with large context windows.

Models by Tag

Find models by capability. Use these tables to answer “what are my options for X?”

Flagship

Most capable models for complex tasks

Model	Provider	Context	Capabilities
`claude-4.6-opus`	Anthropic	200K	🛠️ 📎 💾 ⚡ 💡
`claude-4.5-opus`	Anthropic	200K	🛠️ 📎 💾 ⚡ 💡
`gpt-5.5`	OpenAI	1M	🛠️ 📎 💾 ⚡ 💡
`gpt-5.4`	OpenAI	1M	🛠️ 📎 💾 ⚡ 💡
`gpt-5.4-pro`	OpenAI	1M	🛠️ 📎 ⚡ 💡
`gpt-5.3-codex`	OpenAI	400K	🛠️ 📎 💾 ⚡ 💡
`gpt-5.2-codex`	OpenAI	400K	🛠️ 📎 💾 ⚡ 💡
`gemini-3.1-pro-preview`	Google	1M	🛠️ 📎 💾 ⚡ 💡
`gemini-3-pro-preview`	Google	1M	🛠️ 📎 ⚡ 💡

Moderate

Balance of capability and cost

Model	Provider	Context	Capabilities
`gpt-5.5`	OpenAI	1M	🛠️ 📎 💾 ⚡ 💡
`gpt-5.4`	OpenAI	1M	🛠️ 📎 💾 ⚡ 💡
`claude-4.6-sonnet`	Anthropic	200K	🛠️ 📎 💾 ⚡ 💡
`claude-4.5-sonnet`	Anthropic	200K	🛠️ 📎 💾 ⚡ 💡
`gpt-5.2-pro`	OpenAI	400K	🛠️ 📎 💾 ⚡ 💡
`gpt-5.2`	OpenAI	400K	🛠️ 📎 💾 ⚡ 💡
`gemini-2.5-pro`	Google	1M	🛠️ 📎 ⚡ 💡

Fast

Optimized for quick responses

Model	Provider	Context	Capabilities
`gpt-5.3-codex-spark`	OpenAI	128K	🛠️ 💾 ⚡ 💡
`claude-4.5-haiku`	Anthropic	200K	🛠️ 📎 💾 ⚡
`gpt-5.4-mini`	OpenAI	400K	🛠️ 📎 💾 ⚡ 💡
`gemini-3-flash-preview`	Google	1M	🛠️ 📎 ⚡
`gemini-3.1-flash-lite-preview`	Google	1M	🛠️ 📎 ⚡
`gemini-2.5-flash`	Google	1M	🛠️ 📎 ⚡
`gemini-2.5-flash-lite`	Google	1M	🛠️ 📎 ⚡

Cheap

Low cost per token

Model	Provider	Context	Capabilities
`claude-4.5-haiku`	Anthropic	200K	🛠️ 📎 💾 ⚡
`gpt-5.4-mini`	OpenAI	400K	🛠️ 📎 💾 ⚡ 💡
`gemini-3.1-flash-lite-preview`	Google	1M	🛠️ 📎 ⚡
`gemini-2.5-flash`	Google	1M	🛠️ 📎 ⚡
`gemini-2.5-flash-lite`	Google	1M	🛠️ 📎 ⚡

Reasoning

Extended thinking capabilities

Model	Provider	Context	Capabilities
`claude-4.6-opus`	Anthropic	200K	🛠️ 📎 💾 ⚡ 💡
`claude-4.5-opus`	Anthropic	200K	🛠️ 📎 💾 ⚡ 💡
`gpt-5.5`	OpenAI	1M	🛠️ 📎 💾 ⚡ 💡
`gpt-5.4`	OpenAI	1M	🛠️ 📎 💾 ⚡ 💡
`gpt-5.4-pro`	OpenAI	1M	🛠️ 📎 ⚡ 💡
`gpt-5.3-codex`	OpenAI	400K	🛠️ 📎 💾 ⚡ 💡
`gpt-5.3-codex-spark`	OpenAI	128K	🛠️ 💾 ⚡ 💡
`gpt-5.2-codex`	OpenAI	400K	🛠️ 📎 💾 ⚡ 💡
`gemini-3.1-pro-preview`	Google	1M	🛠️ 📎 💾 ⚡ 💡
`gemini-3-pro-preview`	Google	1M	🛠️ 📎 ⚡ 💡
`gemini-3.1-pro-preview-customtools`	Google	1M	🛠️ 📎 💾 ⚡ 💡
`claude-4.6-sonnet`	Anthropic	200K	🛠️ 📎 💾 ⚡ 💡
`claude-4.5-sonnet`	Anthropic	200K	🛠️ 📎 💾 ⚡ 💡
`gpt-5.2-pro`	OpenAI	400K	🛠️ 📎 💾 ⚡ 💡
`gpt-5.2`	OpenAI	400K	🛠️ 📎 💾 ⚡ 💡
`gemini-2.5-pro`	Google	1M	🛠️ 📎 ⚡ 💡

Using Models

Tag-Based Selection (Recommended)

Select models by capability tags for provider-agnostic workflows:

# In presets or workflow nodes
model:
  tags: [flagship]      # Best quality model available
  
model:
  tags: [fast, cheap]   # Prefer fast+cheap, falls back to fast-only or cheap-only

model:
  tags: [local, fast]   # Prefer local, use fast cloud model as fallback

Explicit Model ID

Select a specific model by ID:

model:
  id: claude-4.5-sonnet

In Workflow Inputs

Workflow inputs use model ID strings (for UI dropdown):

inputs:
  model:
    type: model
    default: claude-4.5-sonnet  # Model ID string for input default

In Presets

Presets can use tag-based selection:

name: my-preset
tag: agent
params:
  model:
    tags: [flagship]  # Works with any provider

Provider Configuration

Models require the appropriate provider to be configured in Settings → AI:

Provider	Models
Anthropic	`claude-*`
OpenAI	`gpt-*`
Google	`gemini-*`

See API Keys & Providers for setup instructions.

Getting Started

Workflows

Workspace & Git

Agent Features

Settings

Architecture

Reference

Help

About

Models Reference

Model Tags

Capabilities Legend

Anthropic (Claude)

OpenAI (GPT)

Google (Gemini)

Models by Tag

Flagship

Moderate

Fast

Cheap

Reasoning

Using Models

Tag-Based Selection (Recommended)

Explicit Model ID

In Workflow Inputs

In Presets

Provider Configuration

​Model Tags

​Capabilities Legend

​Anthropic (Claude)

​OpenAI (GPT)

​Google (Gemini)

​Models by Tag

​Flagship

​Moderate

​Fast

​Cheap

​Reasoning

​Using Models

​Tag-Based Selection (Recommended)

​Explicit Model ID

​In Workflow Inputs

​In Presets

​Provider Configuration

Model Tags

Capabilities Legend

Anthropic (Claude)

OpenAI (GPT)

Google (Gemini)

Models by Tag

Flagship

Moderate

Fast

Cheap

Reasoning

Using Models

Tag-Based Selection (Recommended)

Explicit Model ID

In Workflow Inputs

In Presets

Provider Configuration