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OpenAI: GPT-5.2 Chat

openai/gpt-5.2-chat

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GPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 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-5.2 Chat is designed for high-throughput, interactive workloads where responsiveness and consistency matter more than deep deliberation.

Modalities

In / Out Price

$1.75 / $14per 1M

Context

128K

Released

Dec 10, 2025

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About OpenAI: GPT-5.2 Chat

OpenRouter makes OpenAI: GPT-5.2 Chat available through a unified, OpenAI-compatible API using the model ID openai/gpt-5.2-chat. It is served by Azure.

OpenAI: GPT-5.2 Chat accepts files such as PDFs, images and text and returns text. It has a 128,000-token context window and a maximum output of 32,000 tokens.

On OpenRouter, OpenAI: GPT-5.2 Chat costs $1.75/M input tokens and $14.00/M output tokens, with separate rates for Cache Read at $0.175/M tokens. Effective pricing can be lower when prompt caching applies. It was released on December 10, 2025.

More models from OpenAI

  • GPT Transcribe
  • GPT-5.6 Luna Pro
  • GPT-5.6 Luna

Frequently asked questions

GPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 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.

GPT-5.2 Chat costs $1.75/M input tokens and $14.00/M output tokens, with separate rates for Cache Read at $0.175/M tokens.

GPT-5.2 Chat has a 128,000 token context window. It supports up to 32,000 completion tokens.

Yes. GPT-5.2 Chat accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

GPT-5.2 Chat accepts files such as PDFs, images and text as input and returns text.

GPT-5.6 Luna Pro, GPT-5.6 Luna, GPT-5.6 Terra Pro and 55 more are other text models from OpenAI.

GPT-5.2 Chat was released on December 10, 2025.

ProvidersPricingPerformanceUptimeAppsActivityFAQ

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

$1.75$14.00$0.175----
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AutoExacto Benchmarks
GPQA DiamondTAU-Bench
auto-routing
79.8%67.3%
OpenAI
81.3%58.0%
Azure
0.0%0.0%

Not enough uptime data to display yet.

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

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