OpenAI: GPT-5.1 Chat
openai/gpt-5.1-chat
GPT-5.1 Chat (AKA Instant is the fast, lightweight member of the 5.1 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on harder queries, improving accuracy on math, coding, and multi-step tasks without slowing down typical conversations. The model is warmer and more conversational by default, with better instruction following and more stable short-form reasoning. GPT-5.1 Chat is designed for high-throughput, interactive workloads where responsiveness and consistency matter more than deep deliberation.
by OpenAI
Input type: Output type: Publish time: 2025-11-13
Recent activity on GPT-5.1 Chat
Tokens processed per day
Throughput
(tokens/s)
| Providers | Min (tokens/s) | Max (tokens/s) | Avg (tokens/s) |
|---|---|---|---|
| Azure | 8.19 | 76.3 | 25.92 |
| OpenAI | 13.33 | 13.33 | 13.33 |
First Token Latency
(ms)
| Providers | Min (ms) | Max (ms) | Avg (ms) |
|---|---|---|---|
| Azure | 1808 | 23714 | 5803.30 |
| OpenAI | 631 | 631 | 631.00 |
Uptime stats for GPT-5.1 Chat
Uptime stats for GPT-5.1 Chat across all providers
Uptime
Azure | OpenAI
( Percent )
| Providers for GPT-5.1 Chat |
ZenMux Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
Latency
Throughput
Uptime
Recent uptime
Apr 30, 2026 6:00 PM-
Price
Input: $ 1.25/ M tokens
Output: $ 10/ M tokens
Cache read: $ 0.125/ M tokens
Cache write 5m
Cache write 1h
Cache write
Web search: $ 0.01/ counts
Model limitation
Context: 128.00K
Max output: 16.38K
Sample code and API for GPT-5.1 Chat
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-5.1-chat",
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-5.1-chat",
input="What is the meaning of life?"
)
print(responses)