GPT-5.2 pro vs GPT-5.4 mini
Compare OpenAI and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-5.2 pro
GPT-5.4 mini
Cost Differences
GPT-5.4 mini costs less than GPT-5.2 pro
Feature Comparison
| Feature | GPT-5.2 pro | GPT-5.4 mini |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $21.00/1M tokens | $0.75/1M tokens |
| Output Price | $168.00/1M tokens | $4.50/1M tokens |
| Context Window | 1,000,000 tokens | 1,050,000 tokens |
| Max Output | 131,072 tokens | 65,536 tokens |
| Category | reasoning | efficient |
| Capabilities | textvisionaudiocodereasoning | textvisioncode |
| Release Date | 12/11/2025 | 3/6/2026 |
GPT-5.2 pro vs GPT-5.4 mini: Which Should You Choose?
Choosing between GPT-5.2 pro and GPT-5.4 mini depends on your priorities: cost efficiency, context length, or raw capability. GPT-5.4 mini is the more affordable option at $0.75/1M input tokens — 96% cheaper than GPT-5.2 pro. Meanwhile, GPT-5.4 mini offers a significantly larger context window at 1,050,000 tokens vs 1,000,000 for GPT-5.2 pro.
These models target different tiers: GPT-5.2 pro is a reasoning model while GPT-5.4 mini is efficient. This means they're optimized for different workloads. GPT-5.2 pro is built for complex tasks that require deeper reasoning, while GPT-5.4 mini offers better value for routine operations.
Output costs matter too. GPT-5.2 pro charges $168.00/1M output tokens vs $4.50 for GPT-5.4 mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-5.4 mini has the edge here at $4.50/1M output tokens.
Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.
Best Use Cases
Choose GPT-5.2 pro when:
- • You need more capabilities (audio, reasoning)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using OpenAI's API ecosystem
Choose GPT-5.4 mini when:
- • Budget is a primary concern
- • You need a larger context window (1,050,000 tokens)
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5.2 pro (OpenAI)
GPT-5.4 mini (OpenAI)
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