OpenAI: GPT-4.1 Mini
Analysis Summary
GPT-4.1 Mini is OpenAI's compact mid-tier model, sitting between the Nano and full GPT-4.1. It supports vision, tool use, and function calling across a 1M token context window, which is a meaningful capability set for the price point. Instruction following is reasonable and the model handles structured outputs adequately for routine business tasks.
For businesses, it fits well in high-volume content pipelines, document summarisation, and lightweight agentic workflows where cost control matters more than frontier reasoning depth. The intelligence index places it well below the top tier, so it is not suited for complex multi-step reasoning or advanced coding tasks.
At $0.40/1M input and $1.60/1M output, it offers strong value for teams running large volumes of moderate-complexity tasks. Pair it with a more capable model for tasks requiring deep reasoning, and use it as the workhorse for routine, high-throughput calls.
Assessed June 17, 2026
Editorial notes
GPT-4.1 Mini from OpenAI offers a 1M token context window, vision, tool use, and function calling at $0.40/1M input, making it a cost-effective option for mid-tier business workflows where frontier reasoning is not required.
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 #159 of 380 AI models we track for overall intelligence, #154 of 317 for coding, #144 of 292 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
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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 #154 of 317 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.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 17, 2026 9:41 am