OpenAI: GPT-4.1 Mini

Public pricingIntelligence 76/100Huge memory비전도구 활용

OpenAI: GPT-4.1 Mini은 비전-언어 이해에 맞춘 멀티모달 모델입니다. 멀티모달 입력 처리、이미지 이해, 1M+ tokens의 컨텍스트, 균형형 비용 특성을 결합해 vision-language understanding and content analysis에서 안정적인 작업을 돕습니다. 특히 지연, 비용, 처리량가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

Input

$0.40/1M

Output

$1.60/1M

Cached

$0.10/1M

Batch

$0.20/1M

Calculate your GPT-4.1 Mini bill.

Set your workload — see cost at your exact volume.

What would GPT-4.1 Mini cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

GPT-4.1 Mini at a glance.

Memory

1,047,576

tokens

Max reply

32,768

tokens

Memory tier

Huge

multiple books or whole repositories

Tokenizer

tiktoken-o200k

Released

Apr 2025

Training cutoff

Jun 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu

    78.1
  • gpqa_diamond

    66.4
  • ifeval

    84.1

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick GPT-4.1 Mini

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

FAQ

GPT-4.1 Mini — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, GPT-4.1 Mini costs roughly $94 per month. Input is $0.40 /1M tokens and output is $1.60 /1M tokens.
GPT-4.1 Mini has a 1,047,576-token context window (huge memory — multiple books or whole repositories). That means you can fit about 196,421 words of input and history in a single call.
Beyond text generation, GPT-4.1 Mini supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
GPT-4.1 Mini was released in April 2025, with training data cut off around June 2024.
Models in a similar class include GPT-5 Mini, GPT-5.1-Codex-Mini, GPT-5.4 Nano. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare GPT-4.1 Mini against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.