Multi-Model AI Access

Taskade Genesis routes every prompt, agent, and automation through 15+ frontier models from OpenAI, Anthropic, Google, and leading open-source providers. Pick a model per task, or let Auto mode decide. No vendor lock-in. No separate API keys. No rebuilds when a new model ships.

The two-line summary. Premium frontier models for the hardest 20% of work. Open-source for the routine 80%. Auto mode handles the routing. Want the deep dive on the open-source side? See 9 Best Open-Source AI LLMs in 2026, Ranked for Real Work.

Auto mode is TSK-1. TSK-1, the Taskade System Kernel, is the intelligence layer that coordinates 15+ frontier models from OpenAI, Anthropic, Google, and open-weight providers into one running app. Most of the time you never have to pick a model. TSK-1 picks for you, per step, though you can still choose one yourself whenever you want. It is a kernel, not a from-scratch foundation model. See Introducing Taskade TSK-1 for how it works.

TL;DR: Taskade Genesis lets you mix 15+ frontier models from OpenAI, Anthropic, Google, and leading open-source providers in a single app. Use lightweight models for cheap iterations, reasoning models for hard logic, long-context models for big documents, and value open-source models for routine high-volume steps. New frontier models are added automatically as they ship, so your apps stay current without a rebuild. One workspace, one bill, one prompt. Build an app →

  ▲  Memory       feeds the prompt
  ■  Intelligence picks the model (Auto or manual)
  ●  Execution    runs it through the gateway

Available Models

Taskade routes every step through 15+ frontier models from OpenAI, Anthropic, Google, and open-weight providers. Pick by job, or let Auto mode choose.

How to Choose a Model

For Taskade Genesis App Building

Taskade Genesis automatically selects the best model for app generation. You can also specify a model preference in your prompt:

• Complex apps with heavy logic → Use reasoning-focused models
• Design-heavy apps → Use multimodal models that understand visual context
• Quick prototypes → Use fast generation models for rapid iteration

For AI Agents

Each AI agent can use a different model:

1. Open your agent settings
2. Select the AI model from the dropdown
3. Save. The agent now uses your chosen model

💡 Tip: Create specialized agent teams where each agent uses the model best suited for its role. A research agent might use one model while a writing agent uses another.

Why Multi-Model Matters

✓ No vendor lock-in. Switch models without switching platforms.

✓ Best tool for each job. Match the model to the task.

✓ Future-proof. New frontier models are added automatically as they ship.

✓ Clear costs. The model picker shows credit cost per option before you run.

✓ Cost optimization. Use lighter models for simple tasks, powerful models for complex ones.

Want a deep dive on the open-source picks? See 9 Best Open-Source AI LLMs in 2026.

Credits

AI operations consume credits based on the model used. Check your usage:

1. Go to Settings → AI Usage
2. View credit consumption by model and operation type
3. Upgrade your plan for more credits if needed

See AI Models & Credit Costs for detailed pricing.

Choosing the Right Model

Taskade Genesis lets you route any agent or app to 15+ frontier models from OpenAI, Anthropic, Google, and leading open-source providers. Or let Auto mode pick for you. Different jobs benefit from different models.

Credit costs and plan limits are documented in Model Credits. Auto mode handles model selection for you if you don't want to choose. You can also mix providers inside a single automation. Cheap open-source for a routing step, deep reasoning for the final answer.

Related guides

• Model Credits. Per-model credit costs and monthly quotas.
• Custom AI Agents. Per-agent model selection.
• Taskade EVE. The built-in assistant that routes through all 15+ models.
• MCP Connectors. Connect external tools to any model.