per month
per call
per 1k calls
cheapest tier

GPT-6 Astra modes vs GPT-5.6 Sol — same workload

Identical tokens and call volume, priced on each mode. Cheapest for this workload is highlighted.

TierInput $/1MOutput $/1MCost / month
⚠️ GPT-6 Astra reference pricing (2026): standard $10.00/$50.00, Fast $20.00/$100.00, Batch/Flex $5.00/$25.00 per 1M input/output tokens; cached input $1.00, cache writes $12.50, requests over 272K input tokens bill at $20.00/$75.00. GPT-5.6 Sol shown for comparison at $5.00/$30.00. Prices change — confirm on OpenAI's pricing page. Want every model side by side? Use the full LLM price comparison or the token cost calculator. · Report outdated price →
✓ Last verified: 2026-09-15· Source: official provider pricing page· Auto-monitored — report change →

How GPT-6 Astra API pricing works

GPT-6 Astra, OpenAI's flagship reasoning model launched September 3, 2026, is billed per token like the rest of the GPT family — split into input (your prompt plus context) and output (everything the model writes back, including hidden reasoning tokens). On the standard tier Astra is $10.00 / 1M input and $50.00 / 1M output, a 5x input-to-output gap that makes response length the single biggest lever on your bill. What's new with Astra is a third dimension beyond token count: mode. The same model can run at three different price points depending on how fast you need the answer — standard, Fast (2x price for lower latency), or Batch/Flex (half price for asynchronous processing) — so picking the right mode for each workload matters as much as picking the right model did on GPT-5.

The second lever is whether you actually need Astra at all. At $10.00/$50.00, Astra costs 2.5x what the previous flagship GPT-5.6 Sol ($5.00/$30.00) charges for the same tokens — and Sol itself sits well above the cheaper Terra and Luna tiers in OpenAI's lineup. Astra's extra cost buys deeper reasoning on genuinely hard problems; for everyday chat, summarization, extraction or classification, downgrading to Sol, Terra, or even a mini/nano-class model from another provider is usually the better default. The table above prices your exact workload across all four modes so you can see whether the premium is worth it before committing production traffic to it. Watch out for long-context calls too — Astra requests over 272K input tokens jump to an even higher $20.00/$75.00 rate, so a workload that occasionally spikes past that threshold needs its own separate estimate. For the full OpenAI lineup including Sol, Terra and Luna, see the OpenAI pricing guide; to compare Astra against Claude, Gemini and the rest, use the LLM price comparison.