GPT-5.2
OpenAILarge Language ModelProprietaryOpenAI frontier model for complex professional work with a 400K token context window and 128K max output. Strong reasoning, coding, and multimodal capabilities.
Abilities
Use Cases
Available in Tools
Availability
How to Use
Pros
- 400K token context window — handles very large documents and codebases
- 128K max output — can generate long, detailed responses in a single call
- Strong reasoning and coding performance — significant improvement over GPT-4 family
- Competitive pricing at $0.875/1M input tokens — more cost-effective than previous frontier models
- Largest ecosystem of third-party integrations and tools
Cons
- Closed source — no visibility into model weights or training data
- Knowledge cutoff August 2025 — cannot access real-time information without tools
- Being retired in favor of GPT-5.4 — limited long-term support
- API costs add up quickly at scale for high-volume batch processing
What to Use It For
Perfect For
Frontier-level reasoning with 400K context for processing massive inputs
400K context window can hold entire codebases with 128K output for comprehensive changes
Good For
Available on Azure with compliance certifications and strong tool ecosystem
Natively handles text and images together with fast response times
Not Recommended
Output tokens at $7/1M are expensive for high-volume generation tasks
Try instead: GPT-4.1 Mini
Closed source with no available weights — completely dependent on OpenAI API
Try instead: Llama 4 Maverick, Qwen 3
Do Not Use For
It is an LLM, not an image generation model — use GPT-Image-1 instead
Try instead: GPT-Image-1, FLUX.2 Pro
Text and reasoning model only — cannot create video content
Try instead: Sora, Veo