How LLM API Pricing Works

Tokens, input vs output, context windows — why the same task can cost 50× more on one model than another, explained simply.

Home › AI Models › GPT-6 Astra vs Claude Opus 4.8

GPT-6 Astra vs Claude Opus 4.8: price comparison

Real 2026 API prices side by side, with the total cost of a typical 10M-input / 3M-output monthly workload.

Price & cost at a glance

GPT-6 AstraClaude Opus 4.8
Input / 1M tokens$10$5
Output / 1M tokens$50$25
Context window272K300K
Cost — 10M in + 3M out$250$125

Green = cheaper / larger. Prices per 1M tokens, USD. Snapshot 2026 — verify with the provider.

Which is cheaper?

Claude Opus 4.8 is the cheaper option on a 10M-in / 3M-out workload — about $125/mo versus $250 for GPT-6 Astra (~2.0× difference). Because output tokens are billed higher, the model with the lower output price usually wins as your responses get longer.

Run your own token mix in the cost calculator, or see each model in depth: GPT-6 Astra · Claude Opus 4.8.

Frequently asked

Is GPT-6 Astra or Claude Opus 4.8 cheaper?

At a typical 10M input + 3M output tokens per month, Claude Opus 4.8 costs about $125 versus $250 for GPT-6 Astra — Claude Opus 4.8 is roughly 2.0x cheaper on this workload. Your ratio of input to output tokens changes the gap.

What's the price difference between GPT-6 Astra and Claude Opus 4.8?

GPT-6 Astra is $10/$50 per 1M input/output tokens; Claude Opus 4.8 is $5/$25. Output tokens usually dominate a bill, so compare the output price first.

Which has the bigger context window, GPT-6 Astra or Claude Opus 4.8?

GPT-6 Astra supports about 272K tokens and Claude Opus 4.8 about 300K. A bigger window costs more per call because every token in context is billed.

Educational estimates — not affiliated with any provider.