GPT-4.1 mini
GPT-4.1 mini is OpenAI's lightweight model with text and image capabilities, featuring a 1M token context window for cost-effective tasks.
API Pricing
| Provider | Input / 1M | Output / 1M | Cached / 1M |
|---|---|---|---|
| $0.400 | $1.60 | $0.100 |
Prices updated daily. Last check: Jul 13, 2026
Performance & Benchmarks
Source: Artificial Analysis →Reasoning & Knowledge
- MMLU-Pro78.1%
- GPQA Diamond66.4%
- Humanity's Last Exam4.6%
Coding
- LiveCodeBench48.3%
- SciCode40.4%
Math
- AIME 202546.3%
- AIME43.0%
- MATH-50092.5%
Agentic & Tool Use
- Terminal-Bench Hard7.6%
- Terminal-Bench v2.110.1%
- τ²-bench52.9%
- τ-bench Banking5.2%
Instruction & Long Context
- IFBench38.3%
- Long-Context Reasoning42.3%
Benchmarks measured Jul 2026. Scores are independent evaluations, not vendor-reported.
Model Details
General
- Creator
- OpenAI
- Family
- GPT
- Tier
- Lightweight
- Context Window
- 1.0M
- Knowledge Cutoff
- Jun 2024
- Modalities
- Text, Image
Capabilities
- Tool Calling
- Yes
- Open Source
- No
- Subtypes
- Chat Completion
Strengths & Limitations
Strengths
- 1 million token context window enables processing of very long documents
- Supports both text and image inputs for multimodal applications
- Tool calling functionality with structured output capabilities
- Output speed of 79.9 tokens per second for responsive applications
- Time to first token of 584ms for interactive use cases
- Knowledge cutoff of June 2024 provides recent training data
- Lightweight tier offers cost efficiency for high-volume deployments
Limitations
- Proprietary model with no access to weights or local deployment
- Positioned as lightweight tier with less capability than flagship GPT models
- No video input support despite multimodal capabilities
- Limited to chat completion format rather than other interaction modes
Key Features
About GPT-4.1 mini
Common Use Cases
GPT-4.1 mini is well-suited for applications requiring reliable language understanding at scale, including content moderation, document summarization, customer support automation, and data classification tasks. Its large context window makes it particularly valuable for analyzing lengthy documents, processing extensive conversation histories, or working with large codebases. The multimodal capabilities enable use cases like image content analysis, visual question answering, and document processing that combines text and visual elements. As a lightweight model, it serves high-volume production environments where cost efficiency is important while maintaining strong performance for routine language tasks.
Frequently Asked Questions
How much does GPT-4.1 mini cost per million tokens?
GPT-4.1 mini pricing varies by provider and usage type (standard vs batch processing). Check the pricing table above for current rates across all supported providers.
What is GPT-4.1 mini best used for?
GPT-4.1 mini excels at high-volume applications like content moderation, document summarization, classification tasks, and customer support automation. Its 1M token context window makes it particularly effective for processing lengthy documents or maintaining extended conversation histories, while its multimodal capabilities support image analysis workflows.
How does GPT-4.1 mini compare to other lightweight models?
GPT-4.1 mini distinguishes itself with a 1 million token context window, which is significantly larger than most lightweight models. It also offers multimodal support for both text and image inputs, tool calling capabilities, and competitive performance with 79.9 tokens per second output speed, making it more capable than typical cost-optimized models.