OpenAI: GPT-4.1

Public pricingIntelligence 73/100Huge memoryVisionTool use

OpenAI: GPT-4.1 is a multimodal model for coding, debugging, and technical work. It combines multimodal input handling and strong coding performance with a 1M+ tokens context window and a balanced-cost profile. Use it for coding, debugging, and technical writing when accuracy, context, and control matters.

Input

$2.00/1M

Output

$8.00/1M

Cached

$0.50/1M

Batch

$1.00/1M

Calculate your GPT-4.1 bill.

Set your workload — see cost at your exact volume.

What would GPT-4.1 cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

GPT-4.1 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

    80.6

  • gpqa_diamond

    66.6

  • swe_bench_verified

    54.6

  • ifeval

    87.4

  • frontiermath_tier_4

    0

  • humanitys_last_exam

    5.4

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

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • Code generation, review, or refactoring.

When to look elsewhere

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

Alternatives

Similar models to compare.

FAQ

GPT-4.1 — 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 costs roughly $470 per month. Input is $2.00 /1M tokens and output is $8.00 /1M tokens.
GPT-4.1 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 supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
GPT-4.1 was released in April 2025, with training data cut off around June 2024.
Models in a similar class include o3, o4 Mini Deep Research, GPT-5.2. The "Similar models" section below this FAQ links into each.

Still unsure?

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