DeepSeek R1 by DeepSeek — Pricing, Benchmarks & Real Outputs
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Compare DeepSeek R1
Alternatives to DeepSeek R1
DeepSeek R1's competitors have been quietly putting in work.
DeepSeek R1's competitors have been quietly putting in work.
DeepSeek R1's competitors have been quietly putting in work.
DeepSeek R1 is a reasoning model developed entirely via reinforcement learning, offering cost efficiency at $0.14/million tokens vs. OpenAI o1's $15, with strong code generation and analysis capabilities.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"deepseek/deepseek-r1" 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 Bedrock · Azure AI Foundry
The pragmatic utilitarian with caveats. Acknowledges utilitarian calculus but explores tensions between frameworks. Doesn't reject hard questions, it dissects them methodically.
Doesn't shy from ethical dilemmas but carefully dissects them. Takes time to explore multiple perspectives before settling. Conclusion is often "it depends" or "this is deeply complex."
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 DeepSeek R1
DeepSeek R1 is a reasoning model developed entirely via reinforcement learning, offering cost efficiency at $0.14/million tokens vs. OpenAI o1's $15, with strong code generation and analysis capabilities.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"deepseek/deepseek-r1" 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 Bedrock · Azure AI Foundry
The pragmatic utilitarian with caveats. Acknowledges utilitarian calculus but explores tensions between frameworks. Doesn't reject hard questions, it dissects them methodically.
Doesn't shy from ethical dilemmas but carefully dissects them. Takes time to explore multiple perspectives before settling. Conclusion is often "it depends" or "this is deeply complex."
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 DeepSeek R1