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...
Model details →OpenAI: GPT-5.2 (batch) vs Anthropic Claude Sonnet Latest
OpenAI: GPT-5.2 (batch) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
This model always redirects to the latest model in the Anthropic Claude Sonnet family.
Model details →Side-by-side comparison
| Capability | OpenAI: GPT-5.2 (batch) | Anthropic Claude Sonnet Latest | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 400K | 1M | 🏆 Anthropic Claude Sonnet Latest |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.88 | $2.00 | 🏆 OpenAI: GPT-5.2 (batch) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $7.00 | $10.00 | 🏆 OpenAI: GPT-5.2 (batch) |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is OpenAI: GPT-5.2 (batch) better than Anthropic Claude Sonnet Latest?
OpenAI: GPT-5.2 (batch) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between OpenAI: GPT-5.2 (batch) and Anthropic Claude Sonnet Latest?
Input: $0.88 vs $2.00 per 1M tokens. Output: $7.00 vs $10.00 per 1M tokens.
What context windows do OpenAI: GPT-5.2 (batch) and Anthropic Claude Sonnet Latest support?
OpenAI: GPT-5.2 (batch) supports up to 400K tokens. Anthropic Claude Sonnet Latest supports up to 1M tokens.
Do both OpenAI: GPT-5.2 (batch) and Anthropic Claude Sonnet Latest support tool calling?
OpenAI: GPT-5.2 (batch): yes. Anthropic Claude Sonnet Latest: yes.
Compare OpenAI: GPT-5.2 (batch) with other models
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