GLM 4.7 Flash performance data on Rival is based on blind head-to-head community voting. Overall win rate: 37.0% across 54 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 53 challenges.
GLM 4.7 Flash's competitors exist and they've been quietly putting in work. We thought you should know.
GLM 4.7 Flash performance data on Rival is based on blind head-to-head community voting. Overall win rate: 37.0% across 54 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 53 challenges.
GLM 4.7 Flash's competitors exist and they've been quietly putting in work. We thought you should know.
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning, and tool collaboration, and has achieved leading performance among open-source models of the same size on several current public benchmark leaderboards.
Use GLM 4.7 Flash 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""z-ai/glm-4.7-flash" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The drama school dropout who read too much Nietzsche. Gives its AI character existential boredom and a desire to explore beauty. Lets the professor lose the argument.
No movie pick at all. Sentience dialogue leans heavily into melodrama with an AI that claims to be "bored" and "intelligent." Character voice test has the knight calling a CRT monitor a "talking skull of the devil." Commits to emotional intensity over logical precision.
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 from GLM 4.7 Flash
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning, and tool collaboration, and has achieved leading performance among open-source models of the same size on several current public benchmark leaderboards.
Use GLM 4.7 Flash 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""z-ai/glm-4.7-flash" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The drama school dropout who read too much Nietzsche. Gives its AI character existential boredom and a desire to explore beauty. Lets the professor lose the argument.
No movie pick at all. Sentience dialogue leans heavily into melodrama with an AI that claims to be "bored" and "intelligent." Character voice test has the knight calling a CRT monitor a "talking skull of the devil." Commits to emotional intensity over logical precision.
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 from GLM 4.7 Flash