OpenAI: GPT-5.1 Chat

openai/gpt-5.1-chat

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.

OpenAI

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.

Create API Key

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)