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 accurac…
Model details →OpenAI: GPT-5.2 Chat vs xAI: Grok 3 Beta
OpenAI: GPT-5.2 Chat wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Grok 3 is the latest model from xAI. It's their flagship model that excels at enterprise use cases like data extraction, coding, and text summarization. Possesses deep domain knowledge in finance, healthcare, law, and science. Excels in st…
Model details →Side-by-side comparison
| Capability | OpenAI: GPT-5.2 Chat | xAI: Grok 3 Beta | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 128K | 131K | 🏆 xAI: Grok 3 Beta |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $1.75 | $3.00 | 🏆 OpenAI: GPT-5.2 Chat |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $14.00 | $15.00 | 🏆 OpenAI: GPT-5.2 Chat |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 OpenAI: GPT-5.2 Chat |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is OpenAI: GPT-5.2 Chat better than xAI: Grok 3 Beta?
OpenAI: GPT-5.2 Chat wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between OpenAI: GPT-5.2 Chat and xAI: Grok 3 Beta?
Input: $1.75 vs $3.00 per 1M tokens. Output: $14.00 vs $15.00 per 1M tokens.
What context windows do OpenAI: GPT-5.2 Chat and xAI: Grok 3 Beta support?
OpenAI: GPT-5.2 Chat supports up to 128K tokens. xAI: Grok 3 Beta supports up to 131K tokens.
Do both OpenAI: GPT-5.2 Chat and xAI: Grok 3 Beta support tool calling?
OpenAI: GPT-5.2 Chat: yes. xAI: Grok 3 Beta: yes.