GPT-6 Astra pricing explained: the 272K cliff, cache, and worked examples

Közvetlen válasz

GPT-6 Astra lists at $10/$50 per million tokens — until your prompt passes 272K tokens, where the tier doubles to $20/$75. The math, worked examples, and when cache saves you. Ez az útmutató azoknak a termék- és platformcsapatoknak szól, amelyek a modellminőséget, a költséget, a routing politikát és a rollout kockázatot hasonlítják össze.

The two tiers

The catalog lists GPT-6 Astra at $10 input / $50 output per million tokens (USD) with cache hits at $1, for prompts up to 272,000 tokens. Past that boundary the listed tier is $20/$75 with $2 cache hits. The cliff is prompt-size-based: the bigger your context, the higher the per-token rate on the listed tier.

Worked examples

A 100K-token document submitted once: about $1.00 input at the low tier, plus output at $50/M. A 500K-token repository slice: about $10.00 input at the high tier (500K/1M x $20) before a single output token. A 1M-token prompt approaches $20 input per call at the listed tier — before output. At these rates the model's own cache matters: verified repeated prefixes bill at $1/$2 instead of $10/$20.

When the cliff changes your architecture

Between roughly 250K and 300K prompt tokens, trimming context below the boundary can halve the input rate. That is sometimes the wrong trade — the long-context retrieval quality is why you chose Astra — but it should be a decision, not an accident. Watch prompt size as a cost metric, not just a capability metric.

Compare before you commit

GPT-5.6 Sol covers the same 1,050,000-token window at a flat $5/$30. Estimate your real monthly mix with the cost calculator, and check the live pricing page — catalog rates move.

What is unverified

All rates here are the NextModel catalog listing, which mirrors OpenAI's published API prices at launch. Cache-hit billing depends on verified exact-prefix matches; there is no first-party CacheSafety row for this model yet.

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