GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly to simple queries …
Model details →OpenAI: GPT-5.2 vs Relace: Relace Search
OpenAI: GPT-5.2 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search performs agentic multi-step reasoning to produce highly prec…
Model details →Side-by-side comparison
| Capability | OpenAI: GPT-5.2 | Relace: Relace Search | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 400K | 256K | 🏆 OpenAI: GPT-5.2 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $1.75 | $1.00 | 🏆 Relace: Relace Search |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $14.00 | $3.00 | 🏆 Relace: Relace Search |
| 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 |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | — | 🏆 OpenAI: GPT-5.2 |
Frequently asked questions
Is OpenAI: GPT-5.2 better than Relace: Relace Search?
OpenAI: GPT-5.2 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 and Relace: Relace Search?
Input: $1.75 vs $1.00 per 1M tokens. Output: $14.00 vs $3.00 per 1M tokens.
What context windows do OpenAI: GPT-5.2 and Relace: Relace Search support?
OpenAI: GPT-5.2 supports up to 400K tokens. Relace: Relace Search supports up to 256K tokens.
Do both OpenAI: GPT-5.2 and Relace: Relace Search support tool calling?
OpenAI: GPT-5.2: yes. Relace: Relace Search: yes.