LOW-COST GPT400K CONTEXTTEXT + VISIONPROMPT CACHINGBATCH -50%
GPT-5.4 nano API Pricing
OpenAI's cheapest GPT-5.4-class model for simple high-volume tasks: $0.20/M input, $1.25/M output, and $0.02/M cached input. It is built for classification, extraction, ranking, routing, and small subagents where cost matters more than maximum capability.
Input - per 1M tokens
$0.20/M
Standard model tier standard
Output - per 1M tokens
$1.25/M
Batch/Flex output is $0.625/M standard
Cached input - 90% off
$0.02/M
Prompt cache hit price -90%
Effective - agentic blend
$0.15/M
92/8 split - 82% cache
§ 01 / TERMINAL
Run the numbers.
Live calculator pre-loaded with current GPT-5.4 nano rates. Use it for high-volume routing, extraction, and classification workloads where small cost differences compound quickly.
$ /mo
Workload split
Prompt cache hit rate
Tokens you can process
—
Words equivalent (English)
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Effective rate
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§ 02 / SCENARIOS
Real-world presets.
CLASSIFICATION
Lead scoring classifier
$0.000/item
EXTRACTION
Invoice field extraction
$0.001/doc
ROUTING
Support ticket routing
$0.001/ticket
SUMMARIZATION
Bulk doc summary
$0.002/doc
SUBAGENT
Codebase triage lint pass
$0.004/run
§ 03 / TOKENIZER
Paste text. See tokens. See cost.
Exact · o200k_base Auto-counts as you type
Counted with the o200k_base BPE encoding — the same tokenizer the API uses — entirely in your browser. The encoder loads on your first keystroke (~1 MB, one time); your text never leaves this page.
Characters 475
Words 71
Tokens (exact) 119 tokens
Cost as input · uncached $0.000024 USD
Cost as output · uncached $0.000149 USD
Cost as cached input $0.000002 USD
| Model | Input /M | Output /M | Effective blended | Context | Best for |
|---|---|---|---|---|---|
| GPT-5.4 nano Current | $0.20 cache $0.02 | $1.25 | $0.15 agentic 92/8 | 400K | Classification and extraction |
| GPT-5.4 mini | $0.75 cache $0.07 | $4.50 | $0.54 more capable | 400K | Subagents and computer-use tasks |
| GPT-5.4 | $2.50 cache $0.25 | $15.00 | $1.80 larger model | 1.05M | Affordable OpenAI frontier work |
| GPT-5.3-Codex | $1.75 cache $0.17 | $14.00 | $1.54 coding specialist | 400K | Agentic coding tasks |
| Gemini 2.5 Pro | $1.25 cache $0.13 | $10.00 | $1.10 tier 1 pricing | 2M | Large multimodal context |
| DeepSeek V4 Pro | $0.43 cache $0.00 | $0.87 | $0.14 promo price | 1M | Low-cost reasoning workloads |
| DeepSeek V4 Flash | $0.14 cache $0.00 | $0.28 | $0.05 same blend | 1M | Bulk low-cost traffic |
Frequently asked.
Practical GPT-5.4 nano pricing questions, with OpenAI's published rates separated from workload assumptions.
Q · 01 What is the standard GPT-5.4 nano API price? +
OpenAI lists
gpt-5.4-nano at $0.20/M input tokens, $0.02/M cached input tokens, and $1.25/M output tokens. This page stores the public list price in USD and marks the source as OpenAI's pricing docs.Q · 02 How much cheaper is GPT-5.4 nano than GPT-5.4 mini? +
Under the shared 92/8 agentic blend with 82% cache hits, GPT-5.4 nano is about
$0.15/M while GPT-5.4 mini is about $0.54/M. That makes nano roughly 3.6x cheaper for the same token mix.Q · 03 How much cheaper are Batch and Flex? +
OpenAI lists Batch and Flex for
gpt-5.4-nano at half the standard rate: $0.10/M input, $0.01/M cached input, and $0.625/M output. That is the best fit for latency-tolerant bulk classification or extraction.Q · 04 Is Priority pricing available for GPT-5.4 nano? +
No Priority row is listed for
gpt-5.4-nano on OpenAI's pricing page. The Priority table lists gpt-5.5, gpt-5.4, and gpt-5.4-mini, so this page does not publish a Priority rate for nano.Q · 05 Does GPT-5.4 nano have regional pricing? +
Yes. OpenAI states that regional processing/data-residency endpoints carry a
10% uplift for gpt-5.4-nano and related GPT-5.4/5.5 models. Standard global routing uses the public standard rate.Q · 06 Does GPT-5.4 nano support computer use? +
No. OpenAI's model page lists computer use as
Not supported for gpt-5.4-nano. Use GPT-5.4 mini or GPT-5.4 when browser or desktop automation is part of the workload.Q · 07 What release date is used here? +
OpenAI's model page lists the first GPT-5.4 nano snapshot as
gpt-5.4-nano-2026-03-17. This page uses 2026-03-17 as the model release date for pricing-history purposes.Q · 08 How accurate is the tokenizer estimate? +
The live widget uses an estimated
4.875 characters per token for English text and labels the tokenizer as tiktoken-o200k_base. It is good for budget planning, but exact billing can differ by language, whitespace, code, tool calls, and image inputs.