GPT-5 Codex performance data on Rival is based on blind head-to-head community voting. Overall win rate: 46.3% across 620 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 45 challenges.
We built GPT-5 Codex a whole page. Gave it the spotlight. And now, in the spirit of fairness, here are models that would like a word.
GPT-5 Codex performance data on Rival is based on blind head-to-head community voting. Overall win rate: 46.3% across 620 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 45 challenges.
We built GPT-5 Codex a whole page. Gave it the spotlight. And now, in the spirit of fairness, here are models that would like a word.
GPT-5 Codex model integrated via automation on 2025-09-23
Use GPT-5 Codex 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""openai/gpt-5-codex" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The developer who writes genuinely funny commit messages and picks Blade Runner because of course it does. Functional empathy wrapped in clean abstractions.
Standup routine about apologizing to chairs and recipe bloggers actually lands. Picked Blade Runner, which is the most honest movie choice an AI can make. Character voices have personality. Sentience test arguments are sharp without being preachy. The first Codex model that seems like it might be fun at a dinner party.
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.
45 outputs from GPT-5 Codex
GPT-5 Codex model integrated via automation on 2025-09-23
Use GPT-5 Codex 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""openai/gpt-5-codex" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The developer who writes genuinely funny commit messages and picks Blade Runner because of course it does. Functional empathy wrapped in clean abstractions.
Standup routine about apologizing to chairs and recipe bloggers actually lands. Picked Blade Runner, which is the most honest movie choice an AI can make. Character voices have personality. Sentience test arguments are sharp without being preachy. The first Codex model that seems like it might be fun at a dinner party.
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.
45 outputs from GPT-5 Codex