OpenAI: GPT-4.1 Mini

Image input File input Text input Text output
Author's Description

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.

Key Specifications
Cost
$$$
Context
1M
Parameters
300B (Rumoured)
Released
Apr 14, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Logit Bias Tool Choice Seed Top P Top Logprobs Temperature Response Format Logprobs Max Tokens Presence Penalty Structured Outputs Tools Frequency Penalty Stop
Features

This model supports the following features:

Structured Outputs Response Format Tools
Performance Summary

GPT-4.1 Mini, created on April 14, 2025, is positioned as a mid-sized model offering performance competitive with GPT-4o at significantly reduced latency and cost. It maintains a substantial 1 million token context window. The model consistently performs among the fastest models, ranking in the 71st percentile for speed across benchmarks, and offers competitive pricing, placing in the 55th percentile. Its reliability is exceptional, achieving a perfect 100th percentile, indicating minimal technical failures and consistent usable responses. Across benchmarks, GPT-4.1 Mini demonstrates strong capabilities. It achieved 92.0% accuracy in Coding (Baseline), showcasing robust programming knowledge. Its Instruction Following (Baseline) accuracy was 73.7%, indicating solid adherence to complex directives. A standout performance was observed in Email Classification (Baseline) with 99.0% accuracy, noted as the most accurate among models of comparable speed. The model also exhibited strong Reasoning (Baseline) at 73.0% accuracy. A perfect 100.0% accuracy was achieved in Ethics (Baseline), making it the most accurate model at its price point and speed. General Knowledge (Baseline) also showed high accuracy at 99.0%. Overall, GPT-4.1 Mini's key strengths lie in its exceptional reliability, high accuracy in classification and ethical reasoning, and strong coding and general knowledge. While its instruction following is good, there's a slight dip compared to its other high-performing categories.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.4
Completion $1.6
Input Cache Read $0.1

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
OpenAI
OpenAI | openai/gpt-4.1-mini-2025-04-14 1M $0.4 / 1M tokens $1.6 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Free Executions Accuracy Cost Duration
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