Recommended Models

Guidelines for selecting models in BYOK workspaces

Which models to add

AI models evolve quickly. We recommend adding at least one flagship model from each major provider. This gives your users access to the best available model for different tasks while keeping your setup manageable.

When a provider releases a new model, add it alongside the existing one rather than replacing it. Users may have agents or workflows that rely on specific models, so removing them without notice can cause disruption.

Select a provider to see the recommended model types and their configuration values.

Model-specific configuration

Use these values when configuring models manually. With a prebuilt Langdock config, these are applied automatically.

OpenAI

Add these model types:

• Latest flagship - Most capable for complex tasks
• Efficient variant (mini/nano) - Fast, cost-effective for everyday use
• Reasoning model (o-series) - For analytical and mathematical tasks

Look for the highest version number available. OpenAI increments version numbers with each major release.

GPT-5.5

Model	API Type	Context Size	Max Output Tokens	Configuration
GPT-5.5	Responses API	200,000	16,000	Enable Always show reasoning, reasoning: none, verbosity: low

GPT-5.4

Model	API Type	Context Size	Max Output Tokens	Configuration
GPT-5.4	Responses API	200,000	32,000	Reasoning: none, verbosity: medium
GPT-5.4 Thinking	Responses API	200,000	32,000	Enable Always show reasoning, reasoning: medium, verbosity: medium
GPT-5.4 Mini	Responses API	200,000	32,000	None

GPT-5.2

Model	API Type	Context Size	Max Output Tokens	Configuration
GPT-5.2	Responses API	200,000	32,000	Reasoning: none, verbosity: medium
GPT-5.2 Thinking	Responses API	200,000	32,000	Enable Always show reasoning, reasoning: medium, verbosity: medium
GPT-5.2 Pro	Responses API	200,000	16,384	Enable Always show reasoning, reasoning: medium, verbosity: low

GPT-5.1

Model	API Type	Context Size	Max Output Tokens	Configuration
GPT-5.1	Responses API	200,000	32,000	Reasoning: medium, verbosity: medium
GPT-5.1 Thinking	Responses API	200,000	32,000	Enable Always show reasoning, reasoning: medium, verbosity: medium
GPT-5.1 Thinking Fast	Responses API	200,000	32,000	Enable Always show reasoning, reasoning: none, verbosity: low

GPT-5

Model	API Type	Context Size	Max Output Tokens	Configuration
GPT-5	Responses API	200,000	32,000	Enable Always show reasoning, reasoning: minimal, verbosity: low
GPT-5 Thinking	Responses API	200,000	32,000	Enable Always show reasoning
GPT-5 Pro	Responses API	200,000	16,384	Enable Always show reasoning, reasoning: high, verbosity: low
GPT-5 Mini	Responses API	200,000	32,000	Reasoning: minimal, verbosity: low
GPT-5 Nano	Responses API	200,000	32,000	Reasoning: minimal, verbosity: low

GPT-4.1

Model	API Type	Context Size	Max Output Tokens	Configuration
GPT-4.1	Completion API	200,000	32,768	Good for data analysis
GPT-4.1 Mini	Completion API	200,000	32,768	None
GPT-4.1 Nano	Completion API	200,000	32,768	None

GPT-4o

Model	API Type	Context Size	Max Output Tokens	Configuration
GPT-4o	Completion API	128,000	16,384	None
GPT-4o Mini	Completion API	128,000	16,384	None

GPT oss

Model	API Type	Context Size	Max Output Tokens	Configuration
GPT oss (120b)	Completion API	128,000	16,384	Enable Always show reasoning

Reasoning models (o-series)

Model	API Type	Context Size	Max Output Tokens	Configuration
o3	Responses API	200,000	32,000	Enable Always show reasoning
o3 Mini high	Responses API	200,000	32,000	Enable Always show reasoning, reasoning: high
o3 Pro	Responses API	200,000	32,000	Enable Always show reasoning
o4 Mini	Responses API	200,000	32,000	Enable Always show reasoning

Anthropic

Add these model types:

• Sonnet - Balanced model for most tasks, excellent at coding and writing
• Sonnet Reasoning - Enhanced version for complex logical tasks
• Opus (if available) - Most intelligent for demanding tasks

Anthropic uses tier names (Opus > Sonnet > Haiku) rather than version numbers. Opus is most capable, Haiku is fastest.

Claude Opus

Model	API Type	Context Size	Max Output Tokens	Configuration
Claude Opus 4.7 1M	Completion API	1,000,000	32,000	None
Claude Opus 4.7	Completion API	200,000	32,000	None
Claude Opus 4.6 1M	Completion API	1,000,000	32,000	None
Claude Opus 4.6	Completion API	200,000	32,000	None
Claude Opus 4.6 Reasoning	Completion API	200,000	32,000	Enable Always show reasoning
Claude Opus 4.5	Completion API	200,000	32,000	None
Claude Opus 4.5 Reasoning	Completion API	200,000	32,000	Enable Always show reasoning

Claude Sonnet

Model	API Type	Context Size	Max Output Tokens	Configuration
Claude Sonnet 4.6	Completion API	200,000	32,000	None
Claude Sonnet 4.6 Reasoning	Completion API	200,000	32,000	Enable Always show reasoning
Claude Sonnet 4.5	Completion API	200,000	32,000	None
Claude Sonnet 4.5 Reasoning	Completion API	200,000	32,000	Enable Always show reasoning
Claude Sonnet 4	Completion API	200,000	32,000	None
Claude Sonnet 3.7	Completion API	200,000	32,000	None
Claude Sonnet 3.7 Reasoning	Completion API	200,000	32,000	Enable Always show reasoning
Claude Sonnet 3.5	Completion API	200,000	8,000	None

Claude Haiku

Model	API Type	Context Size	Max Output Tokens	Configuration
Claude Haiku 4.5	Completion API	200,000	32,000	None

Google

Add these model types:

• Gemini Pro - Flagship model with advanced multimodal capabilities
• Gemini Flash - Fast, efficient for real-time applications

Google uses “Pro” for their flagship and “Flash” for fast variants. Higher version numbers indicate newer releases.

Gemini Pro

Model	API Type	Context Size	Max Output Tokens	Configuration
Gemini 3.1 Pro Preview	Completion API	200,000	32,000	None
Gemini 2.5 Pro	Completion API	200,000	32,000	None
Gemini 2.5 Pro Reasoning	Completion API	200,000	32,000	Enable Always show reasoning

Gemini Flash

Model	API Type	Context Size	Max Output Tokens	Configuration
Gemini 3 Flash Preview	Completion API	200,000	32,000	None
Gemini 2.5 Flash	Completion API	200,000	32,000	None

Others

Mistral

Model	API Type	Context Size	Max Output Tokens	Configuration
Mistral Large 3	Completion API	200,000	16,000	None
Mistral Large 2411	Completion API	128,000	16,000	None
Mistral Medium	Completion API	128,000	8,000	None

Meta

Model	API Type	Context Size	Max Output Tokens	Configuration
Llama 4 Maverick	Completion API	200,000	16,000	None
Llama 3.3 70B	Completion API	128,000	16,000	None

DeepSeek

Model	API Type	Context Size	Max Output Tokens	Configuration
DeepSeek r1	Completion API	128,000	8,000	Enable Always show reasoning
DeepSeek v3.1	Completion API	128,000	16,000	None

For the most up-to-date model information and capabilities, check the model picker in app.langdock.com. Model naming follows consistent patterns across providers. See our Model Guide for help understanding these patterns.