bunx ccusage Shows $18,450 in Credits Burned — Flat Plans Absorb the Cost
A Reddit user on r/ClaudeAI ran bunx ccusage monthly -s 20260501 --all and discovered they had burned $18,450.29 in credits during May — on a flat-rate subscription of €200/month for Claude Code plus €200/month for Codex (€400 total). The tool calculated 248M input tokens, 42M output tokens, and 21.7B total tokens when counting cache reads.
What bunx ccusage Shows
The command bunx ccusage@latest pulls actual usage data from Anthropic's API history. In this case, the user's side project — built in evenings, weekends, and early mornings — consumed far more than the subscription covers. They noted: "so on the actual usage side they're literally losing money on me I think."
Flat Plans vs. Pay-as-You-Go
The €200 Claude Code flat and €200 Codex flat plans are currently subsidized, as the user acknowledges: "subscriptions are paid with VC money at the moment." This level of consumption would cost $18,450 on pay-as-you-go pricing. If Anthropic adjusts pricing or removes flat options, heavy users like this could face steep increases.
How to Check Your Own Usage
Run this in your terminal:
bunx ccusage@latestOr for a specific month:
bunx ccusage monthly -s YYYYMMDD --allIf you're on a flat plan, it's worth checking — especially if you use Claude heavily outside of work hours.
Who Should Care
Developers on Claude flat-rate subscriptions who want to know their true consumption before pricing changes. Also useful for teams negotiating enterprise plans.
📖 Read the full source: r/ClaudeAI
👀 See Also
Holisto Seed: A Local LLM Framework with Persistent Identity and Consensual Memory Consolidation
Holisto Seed is a Relational Individuation Framework that gives LLM agents persistent identity, biographical memory, and co-evolutionary relationships with users. It runs fully local with a Git-based versioning system and features a consensual sleep cycle for memory consolidation.
Unsloth Studio enables 2x training speed with 70% VRAM reduction for local AI fine-tuning
Unsloth Studio provides tools to train and fine-tune language models on local hardware with 2x faster training and 70% VRAM reduction. It supports exporting models to GGUF format for use with Ollama and enables full local AI coding workflows on 24GB hardware like RTX 4090.
Bifrost AI Gateway: Open-Source Tool Addresses AI Infrastructure Gaps
Bifrost is an open-source Go-based LLM gateway that provides automatic failover between providers, budget caps that reject requests, audit logging, and hooks for evaluation. Benchmarks show it's ~50x faster than LiteLLM at high throughput.
Research Team-in-a-Box Framework for Claude Code Using Multi-Agent Architecture
A developer created a multi-agent research framework for Claude Code that uses Opus 4.6 to coordinate specialized agents through a plugin called research-clab. The framework unfolds via a guided Q&A process and includes 11 skills, agent definitions, and structured directories for managing complex research projects.