Models

Custom Engine

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Custom Engine pins one exact model. Taskade stops choosing for you on that surface.

Use it when you are comparing models on the same prompt, or when one model genuinely suits a task. For everything else, a rung ages better.

Where to find it

Open the model menu in the builder chat or on an agent.

  • In the builder chat, the models sit behind Current Model, under a Custom Engine heading.
  • In the agent editor, the same list appears under All Models.

An AI step in an automation does not offer this list. Its model menu shows TSK-Auto and the rungs under a Taskade credits heading. A step that already stores a pinned model keeps it. If that model is retired, or no longer runs on Taskade AI credits, the step runs on TSK-Auto.

The catalog

Taskade offers frontier models from top AI labs: OpenAI GPT, xAI Grok, and open-weight models such as DeepSeek, Qwen, Kimi, and GLM. This table lists the models that run on Taskade AI credits. Each model card in the picker shows a speed bar, an intelligence bar, and a credit rate. The table turns those three signals into bands:

  • Speed and Intelligence follow the bars on the model card.
  • Cost groups the credit rate on the model card by order of magnitude. Low is the cheapest group and High is the most expensive group.
Model Provider Good at Speed Intelligence Cost Availability
GPT-6.1 Sol OpenAI Frontier reasoning for hard problems Slow Frontier Medium Every paid plan
GPT-6 Luna OpenAI Everyday building Fast High Low Every paid plan
GPT-5.6 Sol OpenAI Deepest reasoning for hard problems Slow Frontier High Max and Enterprise
GPT-5.6 Terra OpenAI Fast frontier all-rounder Fast Frontier Medium Max and Enterprise
GPT-5.6 Luna OpenAI Fast, economical quick tasks Fast High Low Every paid plan
Grok 4.7 xAI Frontier coding and knowledge work Medium Frontier High Max and Enterprise
Grok 4.6 xAI Frontier coding and STEM reasoning Medium Frontier High Max and Enterprise
Grok Build 0.1 xAI Fast agentic app building Fast High Medium Max and Enterprise
Kimi K3 Moonshot Long-context agentic reasoning Slow Frontier Medium Max and Enterprise
Kimi K2.6 Moonshot Open-weight generalist Medium High Medium Max and Enterprise
Kimi K2.7 Code Moonshot Agentic coding Medium High Medium Max and Enterprise
Qwen 3.7 Max Alibaba Agent foundation flagship Medium Frontier High Max and Enterprise
Qwen 3.7 Plus Alibaba Cost-effective agentic coding Fast High Medium Every paid plan
MiniMax M3 MiniMax Fast open-source generalist Fast High Medium Every paid plan
GLM 5.3 Z.AI Latest GLM for autonomous coding Slow Frontier Medium Max and Enterprise
GLM 5.2 Z.AI Autonomous coding Slow Frontier Medium Max and Enterprise
Nemotron 3 Super NVIDIA Efficient mixture-of-experts for agents Fast High Medium Every paid plan
DeepSeek V4 Pro DeepSeek Frontier reasoning and coding Fast High Low Every paid plan

Claude models run on your own Anthropic key. See Claude in Taskade for the Claude models and the setup.


This list moves. Treat it as accurate on the date in this page's metadata, not as a contract.

Taskade adds frontier models as they ship, and rotates which ones the picker offers. If you want a model you cannot see, ask us. Enterprise agreements can also open models that are not in the default picker, and you can always run a model on your own provider key.

A Custom Engine pick is stored. Your agent or chat keeps the exact model id you chose, which is why a pin ages and a rung does not. Nothing breaks when a model leaves this list. Taskade keeps a retired model on file so your saved pick still reads back correctly, and it runs that turn on TSK-Auto instead. When a newer version replaces a model, a saved pick runs on the newer version. For example, a saved GPT-6 Sol pick runs on GPT-6.1 Sol, and a saved DeepSeek V4 Flash pick runs on DeepSeek V4.1 Flash.

How cost works

The Cost column is a band, not a price. Three things make a single per-model number misleading:

  • Request size changes the total. Credits scale with the tokens a step carries. The same model therefore costs more on a large request than on a small one. A few models add a further multiplier above a very large input.
  • Rates get re-anchored. Taskade measures real usage after a model launches and adjusts its rate to match.
  • Some rates are introductory. A model can cost fewer credits at launch than it does later.

The model menu shows the current credits for each option at the moment you pick it. That figure is the one to trust. For how metering works, see Model credits.

Context windows

Taskade does not publish a context-window figure per model.

The number a provider advertises describes the raw model, not the budget your step receives. A running step also carries workspace memory, agent knowledge, attachments, and conversation history. The usable remainder therefore differs by surface and by request, and the provider figure overstates what you can pass in.

If a model is not in your picker

The picker rotates, so a model you used last week can be absent today. Nothing breaks when that happens. Taskade routes the turn through TSK-Auto instead, and the work completes on a current model.

If you need a specific model that is not listed, ask us and we can enable it. Enterprise agreements open models outside the default picker. A provider step runs any model that your own key can access.

This is also why a rung is the better default. A rung follows the catalog forward, and a pin depends on what the picker offers that day.

Run on your own account

To bill a provider account you control, connect it and add a provider step. Taskade supports OpenAI, Anthropic, Google Gemini, Groq, and OpenRouter accounts for this. The step runs on your key, and every step around it keeps working normally.

See Multi-model AI access for the setup.

Next steps