GPT-5.2
Pricing & Specs
OpenAI · $1.75 input / $14 output per 1M tokens · 400K context window
The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on GPT-5.2 costs about $0.0088 — roughly $8.75 per 1,000 runs. But if it needs 3x the tokens of a cheaper model to match quality on YOUR task, the economics flip. The only way to know is to benchmark it on your actual workload.
GPT-5.2 API Pricing
| Tokens | Price |
|---|---|
| Input | $1.75 / 1M tokens |
| Output | $14 / 1M tokens |
| Cached input | $0.175 / 1M tokens |
Cached input tokens are billed when caching is enabled. Batch API pricing is available for this model at 50%.
What that means in practice
GPT-5.2 Specs
| Spec | Value |
|---|---|
| Context window | 400K tokens |
| Max input per request | 272K tokens |
| Max output tokens | 128K tokens |
| Input modalities | text, image |
| Output modalities | text |
| Latency (measured by OpenMark) | ~612ms median response |
| Reasoning model | Yes |
| Tool / function calling | Yes |
| JSON mode | Yes |
| Streaming | Yes |
| Prompt caching | Yes |
| Batch API | Yes |
FAQ
How much does GPT-5.2 cost?
GPT-5.2 costs $1.75 per 1M input tokens and $14 per 1M output tokens ($0.175 per 1M cached input tokens).
What is GPT-5.2's context window?
GPT-5.2 has a 400K-token context window. Maximum output is 128K tokens.
Can I test GPT-5.2 on my own task?
Yes. OpenMark lets you benchmark GPT-5.2 against 100+ models on your own task with real API calls — no API keys needed, free tier available.
Is GPT-5.2 the right model for YOUR task?
Pricing tables can't answer that. Benchmark it against 100+ models
on your actual workload — real API calls, real costs. Free tier available.