Overview
CREAO gives you access to multiple AI models from different providers. Choose the model that best fits your task — whether you need maximum intelligence, a large context window, or cost efficiency. Select a model from the model dropdown at the top of the chat interface. Your choice persists per thread, so you can use different models for different conversations.Free-plan users see a simplified tier picker instead, currently set to Lite — CREAO automatically selects a good model for that tier. Upgrading to a paid plan unlocks Standard and Advanced tiers plus hand-picking a specific model.
Model comparison
All models have full access to the same tools — code execution, web search, image generation, file handling, and all connected skills and integrations.
Fugu Ultra delivers output in larger batches rather than token-by-token — it thinks first, then sends a complete response. The chat header shows a notice when Fugu Ultra is selected.
Choosing a model
I want the best quality regardless of cost
I want the best quality regardless of cost
Choose Claude Fable 5 — Anthropic’s latest flagship, available to eligible paid users — for the deepest reasoning and long-horizon agent work, or Claude Opus 5 or Claude Opus 4.8 for frontier reasoning and coding. GPT-5.6 Sol is available to eligible accounts for frontier GPT reasoning and agentic coding. Fugu Ultra (Sakana) is also available on paid plans for hard, long-horizon multi-agent work — it uses deep reasoning with a 1M-token context window and delivers output in batches. Opus 4.7 and Opus 4.6 are also available if you have existing prompts tuned for a specific version.
I want a good balance of speed, quality, and cost
I want a good balance of speed, quality, and cost
Claude Sonnet 5 is the default and recommended for most users. It handles coding, analysis, and creative tasks well at moderate cost. GPT-5.6 Terra is a balanced GPT option for eligible accounts. Claude Sonnet 4.6 is still available if you have existing prompts tuned for it.
I want to minimize credit usage
I want to minimize credit usage
GLM 5.2, GPT-5.6 Luna, Muse Spark 1.1, and MiniMax M3 use very few credits per message. GLM 5.2 is especially good at reasoning tasks; MiniMax M3 excels at very long-context work. These models are great for iterative sessions where you send many messages.
I need fast responses for simple tasks
I need fast responses for simple tasks
Claude Haiku 4.5 is the fastest model. Use it for quick questions, formatting, or lightweight code generation where speed matters more than depth.
Using models via the Developer API
Backend integrations can send an optionalmodel field on Developer API run-creating endpoints. Use GET /v1/models to discover the exact model ids your account can run, or see the Developer API Models guide for request examples and lifecycle policy.
Prompt caching
Most models support prompt caching, which reduces cost and latency on follow-up messages in the same thread. When caching is active, repeated parts of the conversation (system prompt, earlier messages) are served from cache at a reduced rate. Caching happens automatically. You don’t need to configure anything.Credit costs
Credits are deducted based on actual token usage. The cost tier determines how many credits each message uses:
Exact costs depend on the length of your message, the conversation history, and how much the model outputs. You can see your remaining credits in the sidebar.