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Credits are the shared usage unit for work that runs in Happycapy. Model calls, media generation, long-running tasks, and Automations can all use credits. Use this page to understand where your credits go and how to make better choices when a task can be done in more than one way.
Plan details can change. For current prices, plan limits, and billing terms, use the official Happycapy pricing page.

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Check usage

Open the profile menu in the lower-left corner, choose Settings, then open Billing. In the Usage section, you will see:
  • Credits consumed — how many credits were used in the selected time range.
  • Requests made — how many model or tool requests were made in the selected time range.
Use 7 Days, 30 Days, or 90 Days to switch the reporting window.

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Read the charts

Credits by Model

Shows daily credit usage for the models used in the selected time range. Use it to compare which models used more credits on each day.

Requests by Model

Shows request volume instead of cost. A lightweight model may appear often here while using fewer credits overall.
Look at both charts together. A model can have many requests but low credit usage, or fewer requests but higher credit usage.

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What uses more credits

Credit usage depends on what Happycapy is doing, not just how many messages you send.

Model choice

Higher-capability reasoning models usually use more credits than faster, lighter models.

Task length

Multi-step research, coding, file processing, and revision loops can use more credits as Happycapy works through the task.

Media generation

Skills can trigger specialized image or video models. Those credits are tracked separately from base-model chat work.

Automations

Scheduled tasks can keep running even when you are away, so review usage regularly if you automate recurring work.

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Choose models

The model selector is for the base model that drives your Happycapy session.

Claude

Opus for complex reasoning and long-horizon coding, Sonnet for balanced everyday work, Haiku for fast lighter tasks.

MiniMax

M3 for coding, agentic workflows, long-context tasks, and multimodal inputs.

DeepSeek

V4 Pro for advanced reasoning and agentic coding, V4 Flash for fast and efficient work.

GLM

5.2 for coding and long tasks when you want capable agent work with fewer credits.

Kimi

K2.7 Code for coding-focused tasks; K2.6 for multimodal inputs and longer execution.
Specialized media models such as GPT Image 2, Gemini, and Seedream are task-level models, not base models in the regular selector. You can ask for them in the conversation or use a Skill that calls them; Happycapy will route the image or video task to the right model. If you are unsure, start with the default base model. Switch to a stronger model when the task needs deeper reasoning, or switch to a lighter model for quick edits and repeated small steps.

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Plans

Happycapy has Free, Pro, Plus, Max, and Team plans. Annual billing on the pricing page includes two months free.
PlanCredits / monthSandboxGood for
Free250Basic sandbox environmentTrying Happycapy and small tasks
Pro2,0002 cores, 4GB RAM, 50GB storageEveryday productivity and recurring tasks
Plus5,0002 cores, 4GB RAM, 50GB storageHeavier personal use
Max22,0004 cores, 8GB RAM, 200GB storageAmbitious projects, more Automations, and higher usage

View current pricing

See current prices, annual billing, included Automations, Capy Mail quota, and Team plan details.