DeepSeek V4 Pro's competitors have been quietly putting in work.
DeepSeek V4 Pro, a mixture-of-experts model with 1.6T total and 49B activated parameters over a 1M token context. The same hybrid attention architecture as V4 Flash at much larger scale, with multiple reasoning modes and strong knowledge, mathematics and software engineering scores.
No free endpoint for DeepSeek V4 Pro was found in Rival’s OpenRouter listings. Other providers or chat apps may have separate free offers.
Provider data: OpenRouter usage limits
Per million tokens. Prices and uptime via OpenRouter, checked 9 Sep 2026.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"deepseek/deepseek-v4-pro" 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
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.
53 outputs · $1.70 tracked across 53 receipts