INTELLECT-3 by OpenRouter — Pricing, Benchmarks & Real Outputs
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Alternatives to INTELLECT-3
INTELLECT-3 is good. These would like a word anyway.
INTELLECT-3 is good. These would like a word anyway.
INTELLECT-3 is good. These would like a word anyway.
INTELLECT-3 model integrated via automation on 2025-11-27
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"prime-intellect/intellect-3" model=,
"role""user""content""Hello!" messages=[{: , : }],
)
print(response.choices[0].message.content)Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.
The academic who writes journal papers for fun. Builds exhaustive taxonomies, numbered lists for everything, and explains their methodology before answering.
Responds to comedy prompts with "Key Elements Used" analysis sections. Ethics responses have Roman numeral outlines. The only model that explains WHY its jokes work after telling them.
Taste is judged on an uncapped scale, originality first. The space past 100 is craft today's models rarely reach.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
54 outputs from INTELLECT-3
INTELLECT-3 model integrated via automation on 2025-11-27
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"prime-intellect/intellect-3" 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.
The academic who writes journal papers for fun. Builds exhaustive taxonomies, numbered lists for everything, and explains their methodology before answering.
Responds to comedy prompts with "Key Elements Used" analysis sections. Ethics responses have Roman numeral outlines. The only model that explains WHY its jokes work after telling them.
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.
54 outputs from INTELLECT-3