Models
GPT-6 Astra
Model id: gpt-6-astra
- Agentic
- Frontier
- Coding
- Reasoning
- Vision
- Multimodal
- Long context
- Tools
- Research
OpenAI’s most capable model for hard reasoning, coding, research, and end-to-end work.
Best for
Ideal when the job is long, complex, and a mistake is expensive.
- Provider
- OpenAI
- Context window
- 1,050,000
- Release date
- 2026-09-03
- Reasoning effort
- lowmediumhighxhighmaxDefault: low
Pricing
Input
1,552.43 ¢ CA / 1M
Cached input
155.243 ¢ CA / 1M
Output
7,762.15 ¢ CA / 1M
Cache write
1,940.5375 ¢ CA / 1M
Long-context rate (above 272,000 tokens)
Input
3,104.86 ¢ CA / 1M
Output
11,643.225 ¢ CA / 1M
Cached input
310.486 ¢ CA / 1M
Cache write
3,881.075 ¢ CA / 1M
Web search
Per successful search
1.5524 ¢ CA / search
Billed on top of tokens when the model uses web search.
Amounts in Canadian dollars, converted at the Bank of Canada indicative rate (2026-11-06).
Performance
Reading
Last 7 days
Not enough data to display the chart.
Activity
Tokens
—
—
—
—
—
Top 5 tools · last 7 days
Not enough data to display tool activity.
Availability
Availability (%)
Last 7 days
- Operational probes
- 99.99% over 7 days
- Samples
- 8,917
Quick start
Call the API with a tonia_ key and the exact model id below.
curl
curl https://pass.tonia.ca:8443/v1/chat/completions \
-H "Authorization: Bearer $TONIA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-6-astra",
"messages": [
{
"role": "user",
"content": "Bonjour"
}
]
}'Python (OpenAI SDK)
import os
from openai import OpenAI
client = OpenAI(
base_url="https://pass.tonia.ca:8443/v1",
api_key=os.environ["TONIA_API_KEY"],
)
response = client.chat.completions.create(
model="gpt-6-astra",
messages=[{"role": "user", "content": "Bonjour"}],
)TypeScript (OpenAI SDK)
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://pass.tonia.ca:8443/v1",
apiKey: process.env.TONIA_API_KEY,
});
const response = await client.chat.completions.create({
model: "gpt-6-astra",
messages: [{ role: "user", content: "Bonjour" }],
});