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GPT-5.2 vs GPT-4.1 Mini

Compare GPT-5.2 and GPT-4.1 Mini. Build AI products powered by either model on Appaca.

Model Comparison

Feature	GPT-5.2	GPT-4.1 Mini
Provider	OpenAI	OpenAI
Model Type	text	text
Context Window	400,000 tokens	1,047,576 tokens
Input Cost	$1.75/ 1M tokens	$0.40/ 1M tokens
Output Cost	$14.00/ 1M tokens	$1.60/ 1M tokens

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Strengths & Best Use Cases

GPT-5.2

OpenAI

1. Advanced Reasoning for Diverse Domains

Built to tackle coding and agentic workflows across multiple industries, with configurable reasoning support.

2. Multi-Modal & Long-Form Capabilities

Handles both text and image inputs, producing text output.
Allows up to 128 k output tokens for lengthy responses.

3. Large Context & Updated Knowledge

400 k token context window accommodates extensive codebases or documents.
Knowledge cut-off of Aug 31 2025 keeps it current with recent developments.

GPT-4.1 Mini

OpenAI

1. Fast, Lightweight, and Cost-Efficient

Designed for speed with low latency, making it ideal for high-volume, real-time applications.
More affordable than larger GPT-4.1 and GPT-5 models, enabling scalable deployments.

2. Strong Instruction Following

Excels at following structured instructions and producing concise, deterministic outputs.
Suitable for assistants, command-style interfaces, and tools that require stable, predictable behavior.

3. Reliable Tool Calling & Structured Outputs

Built with strong support for:
- Function calling
- Structured outputs (JSON, typed objects)
- Systematic workflows
Ideal for automation, reasoning over parameters, and multi-step tool pipelines.

4. Multimodal Input (Text + Image)

Accepts both text and image as input.
Useful for tasks such as:
- Image captioning
- UI element reading
- Visual question answering

5. Text-Only Output for Clarity

Outputs text only, ensuring clean and consistent results for:
- Data extraction
- Summaries
- Code comments
- Chat responses

6. Massive 1M-Token Context Window

Supports 1,047,576 tokens, enabling:
- Long documents or books
- Large codebases
- Extensive conversation memory
Great for long-context reasoning without requiring chunking.

7. Practical for Everyday AI Applications

Sweet spot for:
- Customer support agents
- Content rewriting
- Lightweight analysis
- Classification and tagging
- Workflow assistants
Recommended primarily for simpler use cases, with GPT-5 Mini suggested for more complex tasks.

8. Broad API Support

Available across:
- Chat Completions
- Responses
- Realtime
- Assistants
- Other major API endpoints
Compatible with long-context modes for large-scale retrieval and processing.