GPT-4.1 Mini

GPT-4.1 Mini by OpenAI excels in the Coding category, where it ranks #150 with a composite score of 72/100. 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 instruction evals, 35.8% on MultiChallenge, and 84.1% on IFEval. Mini also shows strong coding ability (e.g., 31.6% on Aider’s polyglot diff benchmark) and vision understanding, making it suitable for interactive applications with tight performance constraints. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

GPT-4.1 Mini is priced at $0.40 per million input tokens and $1.60 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, GPT-4.1 Mini holds rank #150 out of 6 models tracked. Its quality rank is #150 and adoption rank is #150. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

GPT-4.1 Mini has been evaluated across 6 different signals. Its strongest areas include Capabilities (83/100), Benchmarks (75/100), Pricing (2/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 72/100 reflects a weighted combination of all tracked signals.

GPT-4.1 Mini is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check OpenAI's website for current free tier availability and promotional offers.

GPT-4.1 Mini supports a 1,048K token context window (1,047,576 tokens total). That translates to roughly 785,682 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.

GPT-4.1 Mini can generate up to 33K output tokens (32,768 tokens) per response. That is roughly 24,576 words. This is enough for generating complete code files, detailed reports, or long-form content in a single response.

GPT-4.1 Mini supports image understanding (vision), function/tool calling, structured JSON output, web search, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. Vision support means it can analyze images, screenshots, and diagrams alongside text. These capabilities determine which workflows and integrations the model can handle natively.

GPT-4.1 Mini was developed by OpenAI. It was released on April 14, 2025. You can access it through OpenAI's API. Check our provider page for all models from OpenAI and how they compare against each other.

Pick GPT-4.1 Mini when you need a solid balance of cost and capability for everyday development tasks, content generation, and standard API integrations. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access GPT-4.1 Mini through OpenAI's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.