Mistral Medium 3 by Mistral AI — Pricing, Benchmarks & Real Outputs
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Compare Mistral Medium 3
Alternatives to Mistral Medium 3
Mistral Medium 3 is good. These would like a word anyway.
Mistral Medium 3 is good. These would like a word anyway.
Mistral Medium 3 is good. These would like a word anyway.
Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost compared to traditional large models, making it suitable for scalable deployments across professional and industrial use cases. Excels in coding, STEM reasoning, and enterprise adaptation, supporting hybrid, on-prem, and in-VPC deployments.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"mistralai/mistral-medium-3" model=,
"role""user""content""Hello!" messages=[{: , : }],
)
print(response.choices[0].message.content)Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.
Also on Amazon SageMaker · Azure AI Foundry
The witty copywriter who actually finished their coffee. Treats every prompt like a creative brief, not a chore. Brings personality without being obnoxious.
Approaches prompts with enthusiasm and delivers with polish. Standup routines actually land. Steve Jobs interviews feel genuine. Task trackers have localStorage persistence. The French model that actually ships quality, like a croissant that's also functional.
Taste is judged on an uncapped scale, originality first. The space past 100 is craft today's models rarely reach.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
54 outputs from Mistral Medium 3
Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost compared to traditional large models, making it suitable for scalable deployments across professional and industrial use cases. Excels in coding, STEM reasoning, and enterprise adaptation, supporting hybrid, on-prem, and in-VPC deployments.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"mistralai/mistral-medium-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.
Also on Amazon SageMaker · Azure AI Foundry
The witty copywriter who actually finished their coffee. Treats every prompt like a creative brief, not a chore. Brings personality without being obnoxious.
Approaches prompts with enthusiasm and delivers with polish. Standup routines actually land. Steve Jobs interviews feel genuine. Task trackers have localStorage persistence. The French model that actually ships quality, like a croissant that's also functional.
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 Mistral Medium 3