GPT-5.2 Chat
gpt-5.2-chatGPT-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... Built by OpenAI.
Prices updated
Input price
$1.75
per 1M tokens · Standard
Output price
$14
per 1M tokens · Standard
Input limit
128K
tokens
Output limit
32K
tokens
Input formats
Output formats
GPT-5.2 Chat price history
2 price records since 9/25/2026
GPT-5.2 Chat cost calculator
$105/month
Standard pricing
Overview
What is GPT-5.2 Chat?
GPT-5.2 Chat is a text & reasoning and vision model from OpenAI. 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... Its 128K context window and $1.75 input price make it a candidate for quality-focused production applications.
Benchmarks
GPT-5.2 Chat benchmarks & speed
How GPT-5.2 Chat scores on standardized evaluations, and where it lands among every model we track.
30.4
Intelligence Index
84tok/s
Output speed
Reasoning
GPQA Diamond
90.3%
Graduate-level scientific reasoning · top 25%
HLE
37.7%
Humanity's Last Exam · top 26%
Latency & design
- Time to first token
- 164.48s
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
GPT-5.2 Chat pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$1.75
Per 1M tokens
Cached input · Standard
$0.17
Per 1M tokens
Capabilities
GPT-5.2 Chat Tools
Tools available when using GPT-5.2 Chat through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Not supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 30.4) position it for demanding production work.
- A 128K context window covers most focused application workflows.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 8× more than input tokens, which matters for verbose responses.
- The 128K context window is smaller than several long-context alternatives.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider