GPT-6 Astra's competitors have been quietly putting in work.
GPT-6 Astra's competitors have been quietly putting in work.
OpenAI's first GPT-6 model, out September 3 2026 from what the company calls its largest training run so far. It takes 1.05M tokens of context, writes up to 128K, and exposes five reasoning effort levels from low through max. OpenAI aims it at computer use, browsing, software engineering and long multi-step work.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"openai/gpt-6-astra" model=,
"role""user""content""Hello!" messages=[{: , : }],
)
print(response.choices[0].message.content)Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
53 outputs · generated before accounting joined the chat
OpenAI's first GPT-6 model, out September 3 2026 from what the company calls its largest training run so far. It takes 1.05M tokens of context, writes up to 128K, and exposes five reasoning effort levels from low through max. OpenAI aims it at computer use, browsing, software engineering and long multi-step work.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"openai/gpt-6-astra" model=,
"role""user""content""Hello!" messages=[{: , : }],
)
print(response.choices[0].message.content)Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
53 outputs · generated before accounting joined the chat