GPT-4.1 Mini

GPT-4.1 Mini by OpenAI excels in the Coding category, where it ranks #66 with a composite score of 58/100. 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 #66 out of 6 models tracked. Its quality rank is #66 and adoption rank is #66. 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 (71/100), Context Window (96/100), Output Capacity (75/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 58/100 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.