Retired Aug 15, 2024. PaLM API decommissioned August 15, 2024. Absorbed into the Gemini product family.“Google's quiet giant nobody remembers.”
PaLM 2 Chat performance data on Rival is based on blind head-to-head community voting. Overall win rate: 31.6% across 19 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 22 challenges.
PaLM 2 Chat's competitors exist and they've been quietly putting in work. We thought you should know.
Retired Aug 15, 2024. PaLM API decommissioned August 15, 2024. Absorbed into the Gemini product family.“Google's quiet giant nobody remembers.”
PaLM 2 Chat performance data on Rival is based on blind head-to-head community voting. Overall win rate: 31.6% across 19 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 22 challenges.
PaLM 2 Chat's competitors exist and they've been quietly putting in work. We thought you should know.
PaLM 2 by Google features improved multilingual, reasoning, and coding capabilities. Optimized for chat-based interactions.
Use PaLM 2 Chat 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""google/palm-2-chat-bison" : ,
"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.
22 outputs from PaLM 2 Chat
PaLM 2 by Google features improved multilingual, reasoning, and coding capabilities. Optimized for chat-based interactions.
Use PaLM 2 Chat 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""google/palm-2-chat-bison" : ,
"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.
22 outputs from PaLM 2 Chat