Command Code GOAT Plan: $10/mo Access to 33 Open Coding Models
AICodeKinggo watch the original →
the gist
The GOAT plan provides $70 in monthly credits for $10, offering a unified interface for open models like GLM, DeepSeek, and Kimi with specialized tool-call handling and caching.
The GOAT Plan Value Proposition
The GOAT plan from Command Code offers a $10 monthly subscription that provides $70 in credits across 33 open and closed AI models. This plan addresses the current fragmentation in the AI coding market, where providers like GLM have increased pricing, Kimi subscriptions are paused due to capacity constraints, and DeepSeek lacks a native coding plan. Credits roll over monthly, and top-ups are available at cost without markup. Usage limits are structured into three windows: $14 per 5-hour window, $35 per week, and $70 per month.
Technical Implementation and Features
Command Code is optimized for open-weight models rather than treating them as secondary integrations. The harness includes a repair mechanism for malformed tool calls and cache routing that maintains warm prefixes across turns, achieving cache hit rates between 95% and 98%. Privacy is enforced through a no-training policy and an optional zero-data-retention route (CMD_ZDR).
Key features include:
- Taste Memory: The agent learns from user accepts, rejects, and edits to adapt to project-specific conventions and preferences over time.
- Plan Mode: The agent inspects the repository and proposes changes before execution, which is useful for complex refactors.
- Checkpoints: Users can restore code and conversation state by double-tapping escape or running
/re. - Headless Mode: The
--pflag allows for CI and script-based automation. - IDE Integration: The tool shares VS Code file and selection context to maintain awareness of the current workspace.
Recommended Model Strategy
Users should leverage different models based on task complexity to maximize credit efficiency:
- Daily Driver: GLM 5.2 is recommended for general file edits and small refactors, offering high performance on benchmarks like Terminal Bench.
- High-Volume Tasks: DeepSeek V4 Flash and Qwen 3.7 Flash are ideal for low-cost, high-volume grunt work.
- Complex Reasoning: Kimi K3 is suggested for difficult problems, though it consumes credits significantly faster than the flash models.
Setup Instructions
- Install the CLI globally:
npm i -g command-code. - Authenticate via the browser by running
cmd(Mac/Linux) orcmdc(Windows). - Navigate to the Studio billing section to select the GOAT plan.
- Initialize the project: Run
/initto generate anagents.mmdfile for stack and convention awareness. - Select a model: Use
/modelto switch between available providers mid-session.