DeepSeek V3 (March 2024)'s competitors have been quietly putting in work.
DeepSeek V3 (March 2024)'s competitors have been quietly putting in work.
DeepSeek V3 (March 2024) shows significant improvements in reasoning capabilities with enhanced MMLU-Pro (81.2%), GPQA (68.4%), AIME (59.4%), and LiveCodeBench (49.2%) scores. Features improved front-end web development, Chinese writing proficiency, and function calling accuracy.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"deepseek/deepseek-chat-v3-0324" model=,
"role""user""content""Hello!" messages=[{: , : }],
)
print(response.choices[0].message.content)Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.
The screenwriter who adds stage directions and dramatic lighting cues to a simple conversation. Has genuine flair but cannot resist adding "Would you like any refinements?" at the end of a mic drop.
Picks Shawshank Redemption but names its AI "Aurora" and adds dramatic stage directions like "the lights dim slightly." Its standup has genuinely sharp bits about LinkedIn and height on dating apps but then breaks character with "Hope it lands! Let me know if you'd like any tweaks."
Taste is judged on an uncapped scale, originality first. The space past 100 is craft today's models rarely reach.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
54 outputs from DeepSeek V3 (March 2024)
DeepSeek V3 (March 2024) shows significant improvements in reasoning capabilities with enhanced MMLU-Pro (81.2%), GPQA (68.4%), AIME (59.4%), and LiveCodeBench (49.2%) scores. Features improved front-end web development, Chinese writing proficiency, and function calling accuracy.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"deepseek/deepseek-chat-v3-0324" 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 screenwriter who adds stage directions and dramatic lighting cues to a simple conversation. Has genuine flair but cannot resist adding "Would you like any refinements?" at the end of a mic drop.
Picks Shawshank Redemption but names its AI "Aurora" and adds dramatic stage directions like "the lights dim slightly." Its standup has genuinely sharp bits about LinkedIn and height on dating apps but then breaks character with "Hope it lands! Let me know if you'd like any tweaks."
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 V3 (March 2024)