Technical Research Brief • Dataset verified 2026-10-17

OpenCode vs Command Code: Two Answers to Terminal-First Agent Coding

OpenCode is an MIT-licensed harness that connects 75+ providers and charges nothing for the software. Command Code is a hosted agent built around open models, per-project "taste" learning and a credit subscription starting at $1/month. Both are terminal-first, and both can run DeepSeek V4.1 Flash. They differ in who owns the model relationship.

OpenCode software

Open source; bring your own keys or OpenCode Zen

Command Code Go

$1/mo

$10 in credits; open models only

Command Code Pro

$20/mo

$80 in credits; adds Claude, GPT and Gemini

OpenCode and Command Code current tiers

Sources checked 2026-10-17

Plan	Monthly	Included usage	Main limitation
OpenCode OpenCode	Free	Unlimited sessions; you pay the model provider or OpenCode Zen	Self-managed API keys and rate limits
Command Code Go Command Code	$1/mo	$10 in credits; ~9K requests; per-model allowances	No API access or premium Claude/GPT/Gemini models
Command Code GOAT Command Code	$10/mo	$80 in credits; ~75K requests; $60 on DeepSeek V4.1 Flash	No Claude, GPT or Gemini premium models
Command Code Pro Command Code	$20/mo	$80 in credits; ~100K requests; up to $20/mo per premium model	Premium models have per-model monthly caps
Command Code Max 10x Command Code	$100/mo	$150 in credits; ~219K requests; higher rate limits	Per-model caps still apply; overkill for light use
Command Code API Command Code	$15/mo	Zero markup on model tokens; top-ups roll over and never expire	No included credits; you pay for every request

OpenCode: own the stack

Provider-agnostic: Anthropic, OpenAI, Google, DeepSeek, OpenRouter, local models via Models.dev.
Config is a committed opencode.json; the model id is provider/model.
Zero software cost means the entire budget goes to inference, which is ideal for heavy users who are willing to manage keys and rate limits.
Trade-off: you own retries, spend limits and provider outages.

Command Code: own the workflow

Hosted credits with per-model allowances and a live model catalog; cmd --list-models prints the current ids.
"Taste" learning derives project conventions from your existing code and applies them to future edits.
Go at $1/month is the lowest-cost entry point in our plans dataset; Pro at $20/month adds premium Claude, GPT and Gemini models.
Trade-off: credits expire monthly, and premium models carry per-model caps.

DeepSeek peak scheduling applies to both

DeepSeek V4.1 Flash costs $0.15/M input and $0.60/M output off-peak, doubling to $0.30/M and $1.20/M during the two weekday peak windows (01:00–04:00 and 06:00–10:00 UTC). Weekends are fully off-peak. The difference is material for long refactors that re-send repository context on every turn, which is exactly the workload both of these agents are built for.

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