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OpenAI · GPT · Flagship

GPT-6 Astra

Discount −65%New

OpenAI's flagship for demanding end-to-end work: deep research, software engineering and long agentic tasks.

Model id

gpt-6-astra

Price per 1M tokens

Input
Regular rate $10.00now $3.50
Output
Regular rate $50.00now $17.50
Cached input
$1.0071% below input

65% below the market rate.

Added here 18 Oct 2026 — read the changelog for what changed and why.

Output is 5× the input rate. $1 covers about 81 prompts of 1,000 input + 500 output tokens. 1 credit = $1 of usage. All rates

Start using GPT-6 Astra

Set ONEAIAPIKEY_API_KEY to a key from your console, then run any example. Streaming is on so long answers are not cut off by idle-connection timeouts.

curl https://api.oneaiapikey.com/v1/chat/completions \
  -H "Authorization: Bearer $ONEAIAPIKEY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-6-astra",
    "stream": true,
    "messages": [{"role": "user", "content": "Compare these five articles on SQLite in production and summarise where they disagree."}]
  }'
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.oneaiapikey.com/v1",
    api_key=os.environ["ONEAIAPIKEY_API_KEY"],
)

stream = client.chat.completions.create(
    model="gpt-6-astra",
    messages=[{"role": "user", "content": "Compare these five articles on SQLite in production and summarise where they disagree."}],
    stream=True,  # recommended for long outputs
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.oneaiapikey.com/v1",
  apiKey: process.env.ONEAIAPIKEY_API_KEY,
});

const stream = await client.chat.completions.create({
  model: "gpt-6-astra",
  messages: [{ role: "user", content: "Compare these five articles on SQLite in production and summarise where they disagree." }],
  stream: true,
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

More: quickstart · API reference · try it in Chat first

Benchmarks reported by the vendor

Scores for GPT-6 Astra as its maker published them, with the setting they state. We have not re-run them. Versions and settings differ between vendors, so compare only identical benchmark names; compare models side by side.

Tokens per day, by model

Last 7 days, UTC days

Hover, tap or drag across any day, or focus the chart and use the arrow keys, to see how every model did that day.

Real tokens served through this gateway, updated every 5 minutes. Ranked by usage, not quality.

Full ranking insights

GPT line-up

GPT-6 Astra or GPT-5.6 Sol or GPT-6.1 Sol?

Of the 5 GPT models on this site, GPT-5.6 Sol is the step up from GPT-6 Astra and GPT-6.1 Sol the step down. Each comparison lists the published rates and limits, then what favours each side.

GPT-6 AstravsGPT-5.6 Sol

Per 1M tokensGPT-6 AstraGPT-5.6 Sol
Input$3.5013% less$4
Output$17.5013% less$20
Cached input$12.5× as much$0.40
Context1.05Mthe same1.05M
Max output128kthe same128k

Pick GPT-6 Astra when

  • cost per request decides it: GPT-6 Astra charges input 13% less and output 13% less than GPT-5.6 Sol.
  • the work is deep research, software engineering and long agentic tasks, which this catalogue lists for GPT-6 Astra and not for GPT-5.6 Sol.

Pick GPT-5.6 Sol instead when

  • GPT-6 Astra does not list Structured output and your code depends on it.
  • your workload looks like hard reasoning, planning and math, labels the catalogue gives GPT-5.6 Sol only.

GPT-6 AstravsGPT-6.1 Sol

Per 1M tokensGPT-6 AstraGPT-6.1 Sol
Input$3.505× as much$0.70
Output$17.505× as much$3.50
Cached input$110× as much$0.10
Context1.05Mthe same1.05M
Max output128kthe same128k

Pick GPT-6 Astra when

  • the work is deep research, software engineering and long agentic tasks, which this catalogue lists for GPT-6 Astra and not for GPT-6.1 Sol.

Pick GPT-6.1 Sol instead when

  • the job runs well enough on the lower rates: input at 80% less and output at 80% less.
  • GPT-6 Astra does not list Structured output and your code depends on it.
  • your workload looks like codex CLI, tool calling and long context, labels the catalogue gives GPT-6.1 Sol only.

Use cases

What GPT-6 Astra is listed for, and what it costs

The catalogue lists GPT-6 Astra for deep research, software engineering and long agentic tasks. Each row prices one typical request at the published rates, with the arithmetic shown. The market-rate figure shows the same request at the lowest public price elsewhere. Token counts are examples; your prompts will differ.

Model your own traffic

  1. Deep research

    A research question with search results attached: 25,000 tokens in, a 1,500-token summary out.

    “Compare these five articles on SQLite in production and summarise where they disagree.”

    Same request on GPT-5.6 Sol $0.13 and GPT-6.1 Sol $0.02275. Cheapest flagship-tier model in the family: GPT-6.1 Sol at $0.02275, 80% less.

    $0.11375

    per summary, about 87 per $10

    $0.325 at the market rate

    0.025 × $3.50 + 0.0015 × $17.50

  2. Software engineering

    Implementing a function or endpoint: 8,000 tokens of context in, 2,000 tokens of code out.

    “Write a TypeScript endpoint that returns paginated orders for the signed-in user.”

    Same request on GPT-5.6 Sol $0.072 and GPT-6.1 Sol $0.0126. Cheapest flagship-tier model in the family: GPT-6.1 Sol at $0.0126, 80% less.

    $0.063

    per task, about 158 per $10

    $0.18 at the market rate

    0.008 × $3.50 + 0.002 × $17.50

  3. Long agentic tasks

    One turn of a long agent session: 60,000 tokens of context, 50,000 of them cached from the previous turn, and 3,000 tokens of edits and tool calls back.

    “Add rate limiting to the login route, update the tests and run them.”

    Same request on GPT-5.6 Sol $0.12 and GPT-6.1 Sol $0.0225. Cheapest flagship-tier model in the family: GPT-6.1 Sol at $0.0225, 84% less.

    $0.1375

    per agent turn, about 72 per $10

    $0.30 at the market rate

    0.01 × $3.50 + 0.05 × $1 + 0.003 × $17.50

Overview

When GPT-6 Astra fits

GPT-6 Astra is a flagship model from OpenAI, available here under the exact model id “gpt-6-astra”. In the GPT line-up here it sits between GPT-5.6 Sol and GPT-6.1 Sol. OpenAI has not published a release date we can cite; it has been available here since 18 Oct 2026.

OpenAI documents tools, vision, reasoning, json mode and prompt caching for it, and it reads images as well as text.

It costs $3.50 per million input tokens and $17.50 per million output tokens, so output is 5× the input rate. That is 65% below the market rate of $10 input and $50 output per million tokens, the lowest public price we found at other API gateways. On the use cases below, output makes up 23% of the bill for deep research, 56% for software engineering and 38% for long agentic tasks, so trimming the context you send saves more than capping the answer. With a 3:1 input-to-output mix it ranks 25th lowest-cost of the 27 models on this site.

Cached input bills at $1 per million tokens, 71% below the standard input rate. In the long agentic tasks example, 50k of the 60k input tokens come from cache, which brings one agent turn from $0.2625 down to $0.1375.

It is served through the OpenAI-compatible format at https://api.oneaiapikey.com/v1, so any SDK or tool that lets you set a custom base URL, for example Codex CLI, Cursor and Cline, can use it. It is not offered on the Anthropic Messages endpoint; pick an Anthropic-format model for Claude Code.

Use GPT-6 Astra with any balance.

GPT-6 Astra is a paid model: any balance above $0 pays for it, the $10.00 sign-up credit included. When it runs out, add $1 or more to your wallet. Every request is billed at the rates above, with a receipt in your usage log.

GPT-6 Astra is developed by OpenAI. Model names and trademarks belong to their owners. One AI API Key is an independent API gateway and is not affiliated with, endorsed by or sponsored by OpenAI.