How much does GPT-6 Astra cost?

GPT-6 Astra is billed pay-as-you-go at $1.00 per 1M input tokens and $5.00 per 1M output tokens. There is no subscription — you only pay for what you use.

What can GPT-6 Astra do?

GPT-6 Astra supports Vision, Tool calling.

Is GPT-6 Astra free to use?

GPT-6 Astra is a paid, pay-as-you-go model — no subscription, you are only charged for usage.

How do I use GPT-6 Astra via the API?

GPT-6 Astra is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID gpt-6-astra with your Api.Airforce API key.

Who makes GPT-6 Astra?

GPT-6 Astra is OpenAI's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

OpenAIPaidOperational

GPT-6 Astra

API model name: gpt-6-astra

GPT-6 Astra is OpenAI's chat model, served on the Api.Airforce unified API. Capabilities include Vision, Tool calling. It is priced at $1.00 per million input tokens and $5.00 per million output tokens. That is below the provider's $10.00 official input rate. Access it through the OpenAI-compatible API with one key, alongside 100+ other models on Api.Airforce.

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Pricing

Input / 1M tokens

$1.00

Output / 1M tokens

$5.00

Cache read / 1M tokens

$0.097222

Cache write / 1M tokens

$1.25

Official input rate

$10.00

Official output rate

$50.00

Api.Airforce price vs. the provider's official rate.-90%

Specifications

Provider: OpenAI
Type: chat model

Capabilities

VisionTool calling

Benchmarks

Independent evaluations and measured speed from Artificial Analysis.

Measured atSame model, different reasoning effort.

Intelligence Index

56.9/100

GPQA Diamond96%

Humanity's Last Exam55%

SciCode56%

τ-bench Banking41%

Terminal-Bench 2.188%

LCR81%

Output speed73.6 tok/s

GPT-6 Astra (Max) · 43.0–56.9

Source: Benchmark data by Artificial Analysis (artificialanalysis.ai)

What is GPT-6 Astra used for?

Chatbots & assistants — conversational AI, drafting, summarizing and Q&A.
Image understanding — analyze photos, screenshots, charts and scanned documents.
Agents & automation — function calling and tool use for multi-step workflows.

GPT-6 Astra vs. similar models

Model	Intelligence	Context	Input / 1M	Output / 1M
GPT-6 Astra	56.9	—	$1.00	$5.00
Babbage 002	—	—	$0.34	$0.34
ChatGPT-4o Latest	—	—	$2.75	$14.50
Codex Auto Review	—	—	$0.33	$1.99

Prices are Api.Airforce pay-as-you-go rates per 1M tokens. Context is the maximum input length.

GPT-6 Astra — frequently asked questions

How much does GPT-6 Astra cost?: GPT-6 Astra is billed pay-as-you-go at $1.00 per 1M input tokens and $5.00 per 1M output tokens. There is no subscription — you only pay for what you use.
What can GPT-6 Astra do?: GPT-6 Astra supports Vision, Tool calling.
Is GPT-6 Astra free to use?: GPT-6 Astra is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
How do I use GPT-6 Astra via the API?: GPT-6 Astra is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID gpt-6-astra with your Api.Airforce API key.
Who makes GPT-6 Astra?: GPT-6 Astra is OpenAI's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

All models·Quickstart·Chat API reference

Use GPT-6 Astra via the API

OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass gpt-6-astra as the model.

cURL

curl https://api.airforce/v1/chat/completions \
  -H "Authorization: Bearer $AIRFORCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-6-astra",
    "messages": [{ "role": "user", "content": "Hello!" }]
  }'

Python

from openai import OpenAI
client = OpenAI(base_url="https://api.airforce/v1", api_key="$AIRFORCE_API_KEY")
r = client.chat.completions.create(
    model="gpt-6-astra",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(r.choices[0].message.content)

JavaScript

import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.airforce/v1", apiKey: process.env.AIRFORCE_API_KEY });
const r = await client.chat.completions.create({
  model: "gpt-6-astra",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);