OpenAI: GPT-5 Nano

Public pricingIntelligence 65/100Large memoryVisionDeep thinkingTool use

OpenAI: GPT-5 Nano is a multimodal model for coding, software engineering, and agent workflows. It combines multimodal input handling and strong coding performance with a 400K tokens context window and a low-cost profile. Use it for coding, software engineering, and agent workflows when latency, cost, and throughput matters.

Input

$0.05/1M

Output

$0.40/1M

Cached

$0.01/1M

Batch

$0.03/1M

Calculate your GPT-5 Nano bill.

Set your workload — see cost at your exact volume.

What would GPT-5 Nano cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

GPT-5 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

Aug 2025

Training cutoff

Sep 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu

    55.6

  • gpqa_diamond

    42.8

  • frontiermath_tier_4

    0

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 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 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 Nano costs roughly $20 per month. Input is $0.05 /1M tokens and output is $0.40 /1M tokens.
GPT-5 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 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 Nano was released in August 2025, with training data cut off around September 2024.
Models in a similar class include GPT-5.4 Nano, GPT-5 Mini, GPT-5.1-Codex-Mini. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare GPT-5 Nano 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.

Open the comparison wizard