Model Access

Definition: Model Access gives your Taskade agents access to frontier AI models from three leading providers — OpenAI, Anthropic, and Google. With 40+ model configurations available, you can choose the right model for each task based on capabilities, speed, and cost.

Available Model Families

OpenAI

Taskade provides access to the full range of OpenAI models:

• GPT-5 series: GPT-5, GPT-5-mini, GPT-5-nano — from frontier reasoning to fast lightweight tasks
• GPT-5.1 series: GPT-5.1 and GPT-5.1-codex — advanced reasoning with dedicated code models
• GPT-4.1 series: GPT-4.1, GPT-4.1-mini, GPT-4.1-nano — balanced performance and cost
• GPT-4o series: GPT-4o and GPT-4o-mini — multimodal with vision capabilities
• Reasoning models: o3-mini, o4-mini — with configurable reasoning effort (low/medium/high)

Anthropic

Access the Claude model family:

• Claude Opus 4.5: Frontier model for complex analysis and deep reasoning
• Claude Sonnet 4.5: Balanced model for most professional tasks
• Claude Haiku 4.5: Fast, efficient model for high-volume work
• Thinking variants: Models with extended thinking for step-by-step reasoning on complex problems
• Claude 4.0: Opus and Sonnet — reliable general-purpose models

Google

Access Gemini and creative AI models:

• Gemini 2.5 Pro: Advanced reasoning and long-context capabilities
• Gemini 2.5 Flash: Fast responses with strong performance
• Gemini 2.5 Flash Lite: Ultra-fast for simple queries
• Gemini 3 Pro: Next-generation multimodal model
• Imagen 4.0: AI image generation from text descriptions

Choosing the Right Model

Use Case	Recommended Model	Why
Complex analysis & strategy	GPT-5.1, Claude Opus 4.5, Gemini 2.5 Pro	Maximum reasoning depth
Content writing & creative	Claude Sonnet 4.5, GPT-5	Strong language and style
Code generation	GPT-5.1-codex, Gemini 2.5 Pro	Optimized for programming
Quick responses & triage	GPT-4.1-nano, Claude Haiku 4.5, Flash Lite	Speed and cost efficiency
Image generation	Imagen 4.0, Generate Image tool	Visual content creation
Step-by-step reasoning	o4-mini, Claude Sonnet 4.5:thinking	Extended chain-of-thought

Reasoning Effort Controls

Some models support configurable reasoning effort — letting you balance depth vs. speed:

Low: Fast responses with minimal deliberation. Best for simple, well-defined tasks.
Medium: Balanced approach for most professional work.
High: Maximum reasoning depth for complex analysis, strategy, and ambiguous problems.

Best Practices

Match Model to Task: Use fast models for simple tasks, frontier models for complex reasoning.

Test Different Models: Same prompt, different results — experiment to find what works best for your specific use case.

Use Thinking Models for Complex Work: When accuracy matters more than speed, use :thinking variants for step-by-step reasoning.

Stay Updated: New models release regularly — Taskade automatically gives you access to the latest frontier models from all three providers.

Related Wiki Pages: AI Agents, Agent Knowledge Memory, Specialized Agents