OpenAI: GPT-5.4 Nano

Public pricingIntelligence 75/100Large memoryविज़नगहरी सोचटूल उपयोग

OpenAI: GPT-5.4 Nano एक मल्टीमॉडल मॉडल है, जिसे vision-language समझ के लिए बनाया गया है। यह multimodal input handling، छवि समझ, 400K tokens का context और कम लागत profile जोड़कर vision-language understanding and content analysis में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब latency, cost और throughput महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$0.20/1M

Output

$1.25/1M

Cached

$0.02/1M

Batch

$0.10/1M

Calculate your GPT-5.4 Nano bill.

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What would GPT-5.4 Nano cost you?

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Technical specifications

GPT-5.4 Nano at a glance.

Memory

400,000

tokens

Max reply

128,000

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

tiktoken-o200k

Released

Mar 2026

Training cutoff

Aug 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • frontiermath_tier_4

    6.25

  • gpqa_diamond

    55.8

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-5.4 Nano

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

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

Alternatives

Similar models to compare.

FAQ

GPT-5.4 Nano — 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-5.4 Nano costs roughly $65 per month. Input is $0.20 /1M tokens and output is $1.25 /1M tokens.
GPT-5.4 Nano has a 400,000-token context window (large memory — an entire book or large codebase). That means you can fit about 75,000 words of input and history in a single call.
Beyond text generation, GPT-5.4 Nano supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
GPT-5.4 Nano was released in March 2026, with training data cut off around August 2025.
Models in a similar class include GPT-5 Mini, GPT-5.1-Codex-Mini, GPT-5 Nano. The "Similar models" section below this FAQ links into each.

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