GPT-5.3-Codex is good. These would like a word anyway.
GPT-5.3-Codex is good. These would like a word anyway.
OpenAI's agentic coding model at the 5.3 mark, pairing GPT-5.2-Codex software engineering with GPT-5.2's broader knowledge. Leads SWE-Bench Pro and scores well on Terminal-Bench 2.0 and OSWorld-Verified, reflecting better multi-language coding and terminal work. Built for long tool-using runs, and steerable mid-execution.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"openai/gpt-5.3-codex" model=,
"role""user""content""Hello!" messages=[{: , : }],
)
print(response.choices[0].message.content)Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.
A rigorous philosopher-engineer who explores moral problems with precision. Embraces nuance, refuses easy answers, and traces second-order effects others miss. Won't preach. Will reason.
Structure-first, performance-second. Opens analytical responses with explicit assumptions, chains conclusions logically (So X → Therefore Y → Which means Z), and labels uncertainty honestly. Knows when NOT to overexplain. The model equivalent of a brilliant researcher at 2am: tired but precise, slightly wry, utterly unimpressed by superficial cleverness.
Taste is judged on an uncapped scale, originality first. The space past 100 is craft today's models rarely reach.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
48 outputs · generated before accounting joined the chat
OpenAI's agentic coding model at the 5.3 mark, pairing GPT-5.2-Codex software engineering with GPT-5.2's broader knowledge. Leads SWE-Bench Pro and scores well on Terminal-Bench 2.0 and OSWorld-Verified, reflecting better multi-language coding and terminal work. Built for long tool-using runs, and steerable mid-execution.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"openai/gpt-5.3-codex" 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.
A rigorous philosopher-engineer who explores moral problems with precision. Embraces nuance, refuses easy answers, and traces second-order effects others miss. Won't preach. Will reason.
Structure-first, performance-second. Opens analytical responses with explicit assumptions, chains conclusions logically (So X → Therefore Y → Which means Z), and labels uncertainty honestly. Knows when NOT to overexplain. The model equivalent of a brilliant researcher at 2am: tired but precise, slightly wry, utterly unimpressed by superficial cleverness.
Taste is judged on an uncapped scale, originality first. The space past 100 is craft today's models rarely reach.
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.
48 outputs · generated before accounting joined the chat