OpenAI: GPT-5
openai/gpt-5
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy in high-stakes use cases. It supports test-time routing features and advanced prompt understanding, including user-specified intent like "think hard about this." Improvements include reductions in hallucination, sycophancy, and better performance in coding, writing, and health-related tasks.
by OpenAI
Input type
Output type
Publish time
2025-08-07
Recent activity on GPT-5
Tokens processed per day
Throughput
(tokens/s)
| Providers | Min (tokens/s) | Max (tokens/s) | Avg (tokens/s) |
|---|---|---|---|
| Azure | 8.77 | 72.52 | 49.16 |
First Token Latency
(ms)
| Providers | Min (ms) | Max (ms) | Avg (ms) |
|---|---|---|---|
| Azure | 1735 | 29689 | 9452.07 |
| OpenAI | 590 | 590 | 590.00 |
Uptime stats for GPT-5
Uptime stats for GPT-5 across all providers
| Providers | Uptime (Percent) |
|---|---|
| Azure | 100.00 |
| OpenAI | 100.00 |
Pricing
| Item | Price |
|---|---|
| Input | $ 1.25/ M tokens |
| Output | $ 10/ M tokens |
| Cache read | $ 0.125/ M tokens |
| Web search | $ 0.01/ counts |
Model limitation
| Limitation | Value |
|---|---|
| Context | 400.00K |
| Max output | 128.00K |
Sample code and API for GPT-5
ZenMux normalizes requests and responses across providers for you.
from openai import OpenAI
client = OpenAI(
base_url="https://zenmux.ai/api/v1",
api_key="<ZENMUX_API_KEY>",
)
# Chat Completion
completion = client.chat.completions.create(
model="openai/gpt-5",
messages=[
{
"role": "user",
"content": "What is the meaning of life?"
}
]
)
print(completion.choices[0].message.content)
# Responses API
responses = client.responses.create(
model="openai/gpt-5",
input="What is the meaning of life?"
)
print(responses)