GPT-5.4 nano API Pricing: OpenAI's Best-Value Budget Model at $0.20/M Tokens

Q: How much does GPT-5.4 nano cost?

GPT-5.4 nano costs $0.20 per million input tokens and $1.25 per million output tokens. It's 4x more expensive than GPT-5 nano ($0.05/$0.40) but offers significantly better reasoning, a 400K context window (vs 128K), and stronger function calling capabilities.

Q: What is the context window of GPT-5.4 nano?

GPT-5.4 nano has a 400K token context window. This is 3x larger than GPT-5 nano's 128K and sufficient for most document analysis, code review, and multi-turn conversation workloads. For 1M context at a budget price, consider GPT-4.1 mini ($0.40/$1.60).

Q: What can GPT-5.4 nano be used for?

GPT-5.4 nano excels at chatbots, code review, document analysis, data extraction, RAG pipelines, content generation, and API backends. Its 400K context handles most documents, and its reasoning quality is strong enough for production workloads. For simpler tasks, GPT-5 nano is cheaper; for complex agentic work, upgrade to GPT-5.4 or Claude Sonnet 5.

GPT-5.4 nano hits the sweet spot between cost and capability — 12.5x cheaper than GPT-5.4 with 400K context and strong reasoning.

Updated Aug 8, 2026 · 93 models tracked across 11 providers

TL;DR

Price: $0.20/M input, $1.25/M output — 12.5x cheaper than GPT-5.4 on input
Context: 400K tokens — 3x larger than GPT-5 nano, handles most documents and codebases
Vision: No — text-only input. For cheapest vision, use Qwen 3.7 Flash ($0.03/$0.13)
Provider: OpenAI API (platform.openai.com)
Best for: Chatbots, code review, document analysis, RAG pipelines, data extraction
Key advantage: Best reasoning quality per dollar in OpenAI's budget lineup

GPT-5.4 nano Pricing Breakdown

At $0.20 per million input tokens and $1.25 per million output tokens, GPT-5.4 nano delivers strong reasoning at budget prices. Here's how the costs scale:

Monthly Volume	Input Cost	Output Cost	Total Cost
1M tokens	$0.20	$1.25	$1.45
10M tokens	$2.00	$12.50	$14.50
100M tokens	$20.00	$125.00	$145.00
1B tokens	$200.00	$1,250.00	$1,450.00

At 100M tokens/month, GPT-5.4 nano costs $145. The same volume on GPT-5.4 would cost $1,800, and on Claude Sonnet 5 it would cost $900+.

How GPT-5.4 nano Compares to Other Budget Models

Model	Input $/M	Output $/M	Context	Vision	Provider
Qwen 3.7 Flash	$0.03	$0.13	1M	✅	Alibaba
GPT-5 nano	$0.05	$0.40	128K	❌	OpenAI
Gemini 2.5 Flash-Lite	$0.10	$0.40	1M	✅	Google
GPT-4.1 nano	$0.10	$0.40	1M	❌	OpenAI
DeepSeek V4 Flash	$0.14	$0.28	1M	❌	DeepSeek
GPT-5.4 nano	$0.20	$1.25	400K	❌	OpenAI
GPT-5.4 mini	$0.75	$4.50	400K	❌	OpenAI

GPT-5.4 nano is more expensive than the cheapest models (Qwen 3.7 Flash, GPT-5 nano), but it offers meaningfully better reasoning and a 3x larger context than GPT-5 nano. It's the best balance of cost and capability for OpenAI users.

GPT-5.4 nano vs GPT-5 nano: Is 4x Worth It?

GPT-5 nano ($0.05/$0.40) is OpenAI's cheapest model. GPT-5.4 nano costs 4x more — here's what you get:

Feature	GPT-5 nano	GPT-5.4 nano
Input price	$0.05/M	$0.20/M
Output price	$0.40/M	$1.25/M
Context window	128K	400K
Reasoning quality	Basic	Strong
Multi-step logic	Limited	Yes
Function calling	✅	✅
Structured outputs	✅	✅
Best for	Classification, extraction	Chatbots, code, analysis

Rule of thumb: Use GPT-5 nano for simple, high-volume tasks (classification, moderation, extraction). Upgrade to GPT-5.4 nano when you need better reasoning, multi-step logic, or larger context. GPT-5.4 nano is the default choice for most production chatbot and RAG workloads on OpenAI.

GPT-5.4 nano vs GPT-5.4 mini: When to Spend More

GPT-5.4 mini ($0.75/$4.50) is 3.75x more expensive on input than GPT-5.4 nano. The upgrade is worth it when:

You need the highest quality outputs for customer-facing content or complex analysis
Your workload is output-heavy — mini's 3.6x output cost increase matters more than the 3.75x input increase
You're hitting reasoning limits with nano on multi-step tasks

For most internal tools, data processing, and API backends, GPT-5.4 nano is sufficient. Save mini for tasks where output quality directly impacts revenue or user experience.

When to Use GPT-5.4 nano

💬 Production Chatbots

Customer support, FAQ bots, and conversational agents. 400K context handles long conversation histories and knowledge bases.

🔍 Document Analysis

Contract review, report summarization, and compliance checking. 400K context processes ~300 pages of text in a single request.

💻 Code Review

Automated code review, bug detection, and refactoring suggestions. Handles most codebases within the context window.

📚 RAG Pipelines

Retrieval-augmented generation with large context. Process retrieved documents and generate grounded responses.

📊 Data Extraction

Parse complex documents, extract structured data from unstructured text. Works well with function calling for structured output.

🤖 API Backends

Power AI features in your app. Strong reasoning at budget prices — ideal for startups and high-volume APIs.

When NOT to Use GPT-5.4 nano

GPT-5.4 nano is optimized for cost and general capability, not frontier reasoning. Upgrade when you need:

Complex agentic workflows: Multi-step planning, tool orchestration → use GPT-5.4 ($2.50/$15) or Claude Sonnet 5 ($2/$10)
Creative or nuanced writing: Marketing copy, tone-sensitive communication → use Claude Opus 5 ($5/$25)
Vision or multimodal input: Image analysis → use Qwen 3.7 Flash ($0.03/$0.13) or Gemini 3.1 Flash ($0.50/$3.00)
Extreme cost sensitivity: Simple classification at massive scale → use GPT-5 nano ($0.05/$0.40) or Qwen 3.7 Flash ($0.03/$0.13)
1M+ context: Very large documents → use GPT-4.1 mini ($0.40/$1.60, 1M) or Qwen 3.7 Flash ($0.03/$0.13, 1M)

Real-World Cost Scenario

Let's say you're building a code review API that processes 100,000 pull requests per month, with an average of 3,000 input tokens and 1,000 output tokens per request:

Model	Monthly Input	Monthly Output	Total
Qwen 3.7 Flash	$9	$13	$22
GPT-5 nano	$15	$40	$55
GPT-5.4 nano	$60	$125	$185
GPT-5.4 mini	$225	$450	$675
GPT-5.4	$750	$1,500	$2,250
Claude Sonnet 5	$600	$1,500	$2,100

GPT-5.4 nano costs $185/month for 100K code reviews — 3.4x cheaper than GPT-5.4 mini and 12x cheaper than full GPT-5.4. The reasoning quality is strong enough for most automated review tasks.

Frequently Asked Questions

How much does GPT-5.4 nano cost?

$0.20 per million input tokens and $1.25 per million output tokens. It's 4x more expensive than GPT-5 nano ($0.05/$0.40) but offers significantly better reasoning, a 400K context window (vs 128K), and stronger function calling capabilities.

What is the context window of GPT-5.4 nano?

400K tokens. This is 3x larger than GPT-5 nano's 128K and sufficient for most document analysis, code review, and multi-turn conversation workloads. For 1M context at a budget price, consider GPT-4.1 mini ($0.40/$1.60).

Is GPT-5.4 nano cheaper than Claude Haiku 4.5?

Yes. GPT-5.4 nano ($0.20/$1.25) is 5x cheaper on input and 4x cheaper on output than Claude Haiku 4.5 ($1.00/$5.00). GPT-5.4 nano also has a larger context window (400K vs 200K). However, Haiku 4.5 supports extended thinking for complex reasoning tasks.

GPT-5.4 nano vs GPT-5 nano — which should I use?

Use GPT-5 nano ($0.05/$0.40) for simple, high-volume tasks like classification, extraction, and content moderation. Upgrade to GPT-5.4 nano ($0.20/$1.25) when you need better reasoning, multi-step logic, 400K context (vs 128K), or more nuanced outputs. GPT-5.4 nano is the sweet spot for general-purpose budget workloads.

What can GPT-5.4 nano be used for?

Chatbots, code review, document analysis, data extraction, RAG pipelines, content generation, and API backloads. Its 400K context handles most documents, and its reasoning quality is strong enough for production workloads. For simpler tasks, GPT-5 nano is cheaper; for complex agentic work, upgrade to GPT-5.4 or Claude Sonnet 5.

Calculate Your GPT-5.4 nano Costs

Enter your token counts and see exactly what you'd pay. Compare against 93 other models instantly.

Open Calculator → See Full Ranking