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# Cheap AI tokens are running out

**[LeadDev](https://daily.dev/sources/leaddev)** · 10 min read · 1 upvotes · 0 comments

## Summary

Cheap per-seat AI plans are subsidized and may not last, so engineering leaders should track token consumption now, before a metered bill forces the issue. Simon Willison calculated that a month of his Claude Code and Codex usage would cost $2,180 at per-token rates versus the $200 he paid in subscriptions. Anthropic moved its Enterprise plan to a $20 seat fee plus metered usage in November 2025, and OpenAI shifted Codex on ChatGPT Enterprise to token pricing in April 2026. The advice: make usage visible without ranking engineers by tokens, and match model size and reasoning effort to each task, since GPT-6 Luna at max effort scores 38 for about $0.07 a task, while Claude Opus 5.5 at low effort scores 42 for $0.55. AT&T cut costs on some tasks by up to 56% with only a 2% quality drop by routing lighter work to open models.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://leaddev.com/ai/cheap-ai-tokens-are-running-out>

## Questions this post answers

### How much more expensive is per-token AI pricing compared to a flat per-seat subscription like Claude Code or Codex?

Per-token rates can cost roughly ten times more than a subsidized per-seat plan. Simon Willison calculated that one month of his Claude Code and Codex usage would have cost $2,180 at per-token rates, versus the $200 he actually paid on flat-rate subscriptions.

_Anyone budgeting for AI coding tools can track pricing shifts like this one on daily.dev._

### When did Anthropic and OpenAI move enterprise customers from flat-rate AI plans to per-token billing?

Anthropic switched its Enterprise plan to a $20 seat fee plus metered usage in November 2025. OpenAI moved Codex on ChatGPT Enterprise to token pricing in April 2026. Both changes push large customers from subsidized flat-rate plans toward paying per token consumed.

_Teams planning AI budgets can follow pricing changes like these on daily.dev before the next bill arrives._

### How much can routing coding tasks to open-weight models instead of frontier models save on cost?

AT&T cut the cost of some advanced tasks, including coding, by up to 56% while measured quality dropped by only 2%, by keeping frontier models for the most complex problems and routing lighter work to open models through a router. This required building an internal quality benchmark to validate the tradeoff.

_Developers weighing frontier versus open-weight models can compare real-world tradeoffs like this on daily.dev._

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---

Tags: [#leadership](https://daily.dev/tags/leadership), [#ai-coding](https://daily.dev/tags/ai-coding), [#anthropic](https://daily.dev/tags/anthropic), [#claude-code](https://daily.dev/tags/claude-code), [#finops](https://daily.dev/tags/finops)

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