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Gumloop gives your agents access to the top models from every major provider. You choose the model in Agent Preferences, at the top of the agent’s configuration.
AI models evolve rapidly. New models are usually available in Gumloop within a day of their public release, so you have the latest options even if this page has not caught up yet.

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Choosing a model

Open the model dropdown in Agent Preferences. The fastest way to choose is one of the three presets at the top:
Agent model picker showing Recommended, Smartest, and Fastest presets, a provider list, and a model detail card for Claude 4.8 Opus
  • Recommended: the best balance of speed, quality, and cost. This is the default for new agents.
  • Smartest: maximum intelligence for complex reasoning and agentic work.
  • Fastest: optimized for speed and low latency on simple, high-volume tasks.
Each preset maps to a current best-in-class model that Gumloop keeps up to date, so you do not have to track model releases yourself. On Enterprise plans, your organization can choose which model each preset points to, so you may see different models than the defaults. See AI Model Governance & Configuration. To pick a specific model instead, search by name or browse by provider: Anthropic, OpenAI, Google, DeepSeek, MiniMax, Z.ai, and more.
Start with Recommended for most agents. Switch to Smartest when a task needs deeper reasoning, or Fastest for simple, high-volume runs where latency matters.

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Reading the model card

Selecting or hovering a model opens a detail card so you can compare options at a glance:
  • Description: what the model is best at.
  • Speed and Intelligence: relative ratings across the catalog.
  • Provider and Context: who makes the model and how much it can read at once (in tokens and approximate words).
  • Tool Calling and Vision: capability checks.
  • Badges: extra labels that call out how a model is served. Models marked US-provider hosted are served by US providers under Zero Data Retention (ZDR) policies.
For agents that read images or screenshots, pick one with Vision.

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Available models

These are the models you can choose for an agent, grouped by provider. Every one supports tool calling, so it can use your apps and workflows. Models marked Vision can also read images and screenshots. New models are added continually, so the in-product picker is always the most up-to-date list.
GPT-OSS 120B, Qwen3.5 397B, Kimi K2.6, and Grok 4.5 are exclusive to agents and are not available in workflow AI nodes.

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How agents are charged

In agents, model cost is token-based and variable. You are charged for the tokens each message uses, which depends on the model, the length of the conversation, and the tools available. There are no fixed per-message tiers. Open Chat Details on any conversation to see its exact usage, and see Credits for the full breakdown.

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Bring your own key (BYOK)

Provide your own provider API key to cut model costs. BYOK gives you 50% off AI model credits in both agents and workflow AI nodes, and it also applies to voice transcription. Requirements: Pro plan or higher, and your own OpenAI, Anthropic, Google AI, Perplexity, or SpaceXAI account.
Add a key under your personal credentials at Connectors page so your own calls route through it, or add a shared team key so the whole team can use it without managing individual keys. Pro users cannot set keys at the organization level.
All open-source models (such as GPT-OSS 120B, LLaMA, DeepSeek, Qwen, Kimi, MiniMax, and GLM) are accessed through US-based providers under Zero Data Retention (ZDR) policies, and carry a US-provider hosted badge in the model picker. Your data is never used for model training and is not stored after inference.

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Using these models in workflows

The same models power workflow AI nodes, and they are billed the same way as agents: by token usage.
Workflow AI nodes (such as Ask AI, Analyze Image, and Generate Report) are billed by token usage, based on the model you pick and how many input and output tokens each call uses. There are no fixed per-call tiers, so a short prompt costs far less than a long-context one.
  • Smaller, faster models cost less per token than frontier models.
  • With BYOK, workflow AI node calls cost 50% fewer credits, the same discount agents get.
  • Image generation is billed at a flat 30 credits per image (15 with BYOK), regardless of size, quality, or model. Audio transcription is billed by audio length at a small per-minute rate that depends on the model (roughly 1 to 2 credits per minute), and BYOK halves it.
For the full workflow credit breakdown, see Credits.