GPT-6 Astra Pricing and Reviews: Pricey but Capable?

Episode 1 · GPT-6 Astra pricing leaks: $10 input / $50 output per million tokens (2026-09-04, 7 posts)

On September 4, multiple community posts and the official pricing page revealed OpenAI's API pricing for the new GPT-6 Astra model: $10 per million input tokens and $50 per million output tokens, matching the rates of Fable 5.1. The output price is notably higher than current flagship tiers, placing it in the premium range for frontier models, and the community quickly began debating its positioning and value. The model is not yet broadly available.

Confirmed

• Pricing: $10/million input tokens, $50/million output tokens, corroborated by multiple posts and the official pricing page (link shared by kimmonismus)
• The rates match Fable 5.1 (relayed by Bindu Reddy and koltregaskes)

Unconfirmed

• Bindu Reddy says the model is not yet GA and will open up broadly in a few days; this timeline is a personal disclosure pending official confirmation
• A tweet cited by koltregaskes claims Astra will use a technology replacing compression (toggleable, default-on in the future), relying on notes, chat history, and tool outputs; this comes from a single source
• A repost by thesaraharminta mentions benchmark results such as ARC-AGI-3 at 98.6% and FrontierMath, but the original post was truncated and the full figures can't be verified

Why it matters

At $50 per million output tokens, Astra enters the most expensive frontier-model tier, directly affecting developers' cost calculations and model choices. If the rumor about dropping compression technology is true, its context management and billing could change structurally—worth watching after the general release.

• GPT-6 Astra pricing leaked: $10/M input, $50/M output tokens, near-perfect ARC-AGI-3 — thesaraharminta · 2026-09-04
• Astra Priced at $10/M Input and $50/M Output Tokens — saln1 · 2026-09-04
• GPT-6 Astra priced at $10/1M input, $50/1M output, same as Fable 5.1 — bindureddy · 2026-09-04
• GPT-6 Astra pricing revealed: $10/M input, $50/M output, to drop compaction — koltregaskes · 2026-09-04
• GPT-6 Astra Pricing Page Surfaces: Full API Rates in Official Link — kimmonismus · 2026-09-04
• GPT-6 Astra pricing tips: $10/M input, 2x overage beyond 272k tokens, quota math explained — dotey · 2026-09-04
• GPT-6 Astra API priced at $10/$50 per million tokens; Qwen Office hits 30M users in a month — 创业邦 · 2026-09-04

Episode 2 · OpenAI Engineer: Token-Based Pricing Is Broken, Cost Should Be Measured Per Task (2026-09-04, 4 posts)

OpenAI engineer Steven Heidel argued token pricing is misleading because GPT-6 Astra's efficiency makes it cheaper per task than models 13x cheaper per token, and amplified findings that Anthropic quietly raised Opus 4.7 costs 30% via a less efficient tokenizer.

• Astra is 2.5x pricier per token yet cheaper and faster per task than sol and fable — 12exyz · 2026-09-04
• Token pricing is meaningless now: Astra cheaper per task than Gemini 3.8 Flash — stevenheidel · 2026-09-04
• OpenAI Engineer: Anthropic's Tokenizer Change Snuck a ~30% Cost Hike into Opus 4.7 — stevenheidel · 2026-09-04
• OpenAI engineer: token pricing is meaningless now — measure cost per task, not per token — hudzah · 2026-09-04

Episode 3 · GPT-6 Astra reviews: strong gains but benchmark claims questioned (2026-09-04, 3 posts)

Early reviews of GPT-6 Astra report major capability gains—such as shrinking 33,000 lines of SQL to 1,800—and halved per-task costs, though chain-of-thought monitoring broke. Critics note gaps between official benchmarks (97.6% on FrontierMath Tier 4) and independent tests (61), with doubled pricing for roughly parity.

• GPT-6 Astra reviews: half the per-task cost, but CoT monitoring breaks down — vista8 · 2026-09-04
• Astra scores 61 on independent index despite 97.6% FrontierMath hype, at 2.5x the price — eyishazyer · 2026-09-04
• GPT-6-Astra hands-on: smarter and creatively persistent, cuts 33k lines of SQL to 1.8k — i_dg23 · 2026-09-04