Mercury's competitors have been quietly putting in work.
The first diffusion large language model. Discrete diffusion runs 5 to 10x faster than speed-tuned models like GPT-4.1 Nano and Claude 3.5 Haiku while matching them, which is what makes voice agents and search viable.
No free endpoint for Mercury was found in Rival’s OpenRouter listings. Other providers or chat apps may have separate free offers.
Provider data: OpenRouter usage limits
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"inception/mercury" 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.
Also on Azure AI Foundry · Amazon Bedrock
The corporate training video narrator. Unfailingly positive, speaks in platitudes, and treats Steve Jobs like a motivational poster. Optimized for safety and blandness in equal measure.
Responds to every prompt with the enthusiasm of a LinkedIn influencer. Fake Steve Jobs interview sounds like a TED talk transcript. The model most likely to say "Let's ensure it benefits everyone."
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 · $0.02 tracked across 25 receipts