Pony Alpha performance data on Rival is based on blind head-to-head community voting. Overall win rate: 53.7% across 95 duels. All vote data is part of Rival's open dataset of 21,000+ human preference judgments across 200+ AI models. Model responses are curated from 47 challenges.
Pony Alpha's competitors exist and they've been quietly putting in work. We thought you should know.
Pony Alpha performance data on Rival is based on blind head-to-head community voting. Overall win rate: 53.7% across 95 duels. All vote data is part of Rival's open dataset of 21,000+ human preference judgments across 200+ AI models. Model responses are curated from 47 challenges.
Pony Alpha's competitors exist and they've been quietly putting in work. We thought you should know.
Pony Alpha is a cutting-edge foundation model with strong performance in coding, agentic workflows, reasoning, and roleplay, making it well suited for hands-on coding and real-world use. Released as a stealth model via OpenRouter to gather community feedback, Pony Alpha features a massive 200K context window and supports tool calling, structured outputs, and step-by-step reasoning.
Use Pony Alpha in your applications via the OpenRouter API. Copy the code below to get started.
import requests
response = requests.post(
"https://openrouter.ai/api/v1/chat/completions" ,
headers={
"Authorization""Bearer $OPENROUTER_API_KEY" : ,
"Content-Type""application/json" :
},
json={
"model""openrouter/pony-alpha" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
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.
47 outputs from Pony Alpha
Pony Alpha is a cutting-edge foundation model with strong performance in coding, agentic workflows, reasoning, and roleplay, making it well suited for hands-on coding and real-world use. Released as a stealth model via OpenRouter to gather community feedback, Pony Alpha features a massive 200K context window and supports tool calling, structured outputs, and step-by-step reasoning.
Use Pony Alpha in your applications via the OpenRouter API. Copy the code below to get started.
import requests
response = requests.post(
"https://openrouter.ai/api/v1/chat/completions" ,
headers={
"Authorization""Bearer $OPENROUTER_API_KEY" : ,
"Content-Type""application/json" :
},
json={
"model""openrouter/pony-alpha" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
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.
47 outputs from Pony Alpha