Metered frontier
OpenAI / Anthropic · $/MTok
waiting to start…
then metered costs · every turn adds $
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Coding agents burn tokens on every read, tool call, and retry. Metered APIs turn that into a climbing invoice. Cue Cloud is a ceiling: $1,500/mo · unlimited coding tokens for that user.
Same published list-price math as Pricing. No invented SLAs.
01 · The ceiling
IDE agents re-read repos, call tools, retry, and hold long context. On OpenAI or Anthropic that is usage OpEx with no ceiling. On Cue Cloud it is still one flat seat for that engineer.
02 · One session
Illustrative turn costs climb on metered APIs. Cue stays $1,500/seat/mo flat. Same loop on both sides.
OpenAI / Anthropic · $/MTok
waiting to start…
then metered costs · every turn adds $
Mac Studios · flat seat
waiting to start…
upfront once · every turn +$0
Illustrative turn costs for one heavy agent session. Not a live invoice. Upfront cost first, then the same loop on both sides. Full monthly math on seats.
03 · Scoreboard
Anthropic · Opus 4.8 at $5/$25 per MTok · OpenAI · GPT-5.5 at $5/$30 per MTok. Cue stays $1,500 flat.
04 · Monthly receipts
Published Anthropic Opus 4.8 and OpenAI GPT-5.5 list rates · 70/30 input/output blend · one user. Cards match /product/pricing.
Agent-heavy
Long sessions, big repos, lots of tool turns.
70/30 blend → $11/MTok Anthropic · $12.5/MTok OpenAI. Cue always $1,500.
Calculated from published OpenAI and Anthropic list prices with a fixed blend — not a guarantee of any one invoice (caching, batch, and harness overhead move real bills). The point holds: usage-based spend climbs; Cue does not.
05 · Break-even
Past ~136M blended tokens/mo on Anthropic (sooner on OpenAI at $12.5/MTok), the Cue seat wins on dollars alone, plus open weights on hardware we operate. See models and api.
06 · Get a seat
CueCode or your IDE via the API. Same fleet either way.