OpenAI: GPT-4.1 Mini
Analysis Summary
GPT-4.1 Mini is a compact but capable model from OpenAI with text, image, and file support, tool use, function calling, and a 1,047,576 token context window. Its livecodebench score of 0.483 and tau2 of 0.529 are strong for its price tier, and the agentic index of 30.2 shows reliable multi-step task handling. The intelligence index of 16.3 reflects mid-tier reasoning depth.
For businesses, it is well suited to coding assistance, agentic automation, structured extraction, and high-volume multimodal workflows where cost efficiency matters. The math index of 46.3 is high for a mini model, adding value for analytical tasks. Complex reasoning chains may still benefit from a larger model.
At $0.40 input and $1.60 output per million tokens with a 1M context, it offers strong price-performance for its capability breadth. Teams running automated pipelines at scale, particularly those combining coding, tool use, and document processing, will find it a cost-effective workhorse.
Assessed June 30, 2026
Editorial notes
GPT-4.1 Mini from OpenAI delivers strong coding and agentic scores with vision, tool use, and a 1M context at low cost, making it a high-value option for automated business workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How OpenAI: GPT-4.1 Mini compares
OpenAI: GPT-4.1 Mini ranks #176 of 385 AI models we track for overall intelligence, #89 of 139 for coding, #145 of 293 for agentic tasks. Its 1M-token context window is larger than 92% of the models we list. At $0.40 per million input tokens it is cheaper than 39% of comparable models.
About OpenAI: GPT-4.1 Mini
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does OpenAI: GPT-4.1 Mini stack up?
Compare side-by-side with other professional models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.40 | $0.000400 |
| Output | $1.60 | $0.001600 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about OpenAI: GPT-4.1 Mini
How much does OpenAI: GPT-4.1 Mini cost?
OpenAI: GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens.
What is the context window of OpenAI: GPT-4.1 Mini?
OpenAI: GPT-4.1 Mini has a context window of 1,047,576 tokens (1M).
Is OpenAI: GPT-4.1 Mini good for coding?
On our coding benchmark index, OpenAI: GPT-4.1 Mini ranks #89 of 139 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: GPT-4.1 Mini do?
OpenAI: GPT-4.1 Mini supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-4.1 Mini?
OpenAI: GPT-4.1 Mini is developed by OpenAI and was released on April 14, 2025.
