OpenAI: GPT-5.1 Chat

Public pricingIntelligence 80/100Medium memoryVisionTool-Nutzung

OpenAI: GPT-5.1 Chat ist ein multimodal-Modell für multimodales Denken und Analysieren. Es verbindet multimodale Eingabeverarbeitung und tiefes Schlussfolgern und Planen, einen Kontext von 128K tokens und ein ausgewogen-Profil für zuverlässige Arbeit über multimodales Denken und Analysieren.

Input

$1.25/1M

Output

$10.00/1M

Cached

$0.13/1M

Batch

$0.31/1M

Calculate your GPT-5.1 Chat bill.

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What would GPT-5.1 Chat cost you?

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Technical specifications

GPT-5.1 Chat at a glance.

Memory

128,000

tokens

Max reply

16,384

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

tiktoken-o200k

Released

Nov 2025

Training cutoff

Jul 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • frontiermath_tier_4

    4.17

  • gpqa_diamond

    85.04

  • humanitys_last_exam

    23.68

  • swe_bench_verified

    67.98

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 Chat

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Code generation, review, or refactoring.
  • Multimodal pipelines mixing text + images.

When to look elsewhere

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

Alternatives

Similar models to compare.

FAQ

GPT-5.1 Chat — 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 Chat costs roughly $494 per month. Input is $1.25 /1M tokens and output is $10.00 /1M tokens.
GPT-5.1 Chat has a 128,000-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,000 words of input and history in a single call.
Beyond text generation, GPT-5.1 Chat supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
GPT-5.1 Chat was released in November 2025, with training data cut off around July 2025.
Models in a similar class include GPT-5, GPT-5 Chat, GPT-5 Codex. The "Similar models" section below this FAQ links into each.

Still unsure?

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