OpenAI

GPT-5.1

Public pricingLarge memoryVisionTool use

GPT-5.1 is OpenAI's large-memory model with vision, tool use. This page shows current pricing, an interactive cost calculator, and a side-by-side with similar models.

Input

$1.25/1M tokens

Output

$10.00/1M tokens

Cached

$2.50/1M tokens

Batch

$5.00/1M tokens

Interactive

Calculate your GPT-5.1 bill.

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What would GPT-5.1 cost you?

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Technical specifications

GPT-5.1 at a glance.

Memory

200,000

tokens

Max reply

16,384

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

tiktoken-o200k

Released

—

Training cutoff

—

Availability

Public pricing

Status

active

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-5.1

  • 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-5.1 — 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-5.1 costs roughly $494 per month. Input is $1.25 /1M tokens and output is $10.00 /1M tokens.
GPT-5.1 has a 200,000-token context window (large memory — an entire book or large codebase). That means you can fit about 37,500 words of input and history in a single call.
Beyond text generation, GPT-5.1 supports understanding images, calling functions / tools, strict JSON output. It streams replies by default.
Models in a similar class include GPT-5, Claude Opus 4.7, Claude Opus 4.6. The "Similar models" section below this FAQ links into each.

Still unsure?

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