# GPT-5.4 nano pricing, and the ladder it sits at the bottom of > GPT-5.4 nano pricing is $0.20 per million input and $1.25 output, 150x below the Pro tier. The widest cost decision sits inside one vendor. URL: https://getculpa.com/gpt-5-4-nano-pricing Last reviewed: 2026-08-01 Rates effective: 2026-07-02 ## Answer GPT-5.4 nano pricing is $0.20 per million input tokens and $1.25 per million output tokens, which is 150 times below the Pro tier's $30.00 input on the same rate card. The widest cost decision you'll make sits inside one vendor rather than between two. Culpa, a local-first LLM cost, margin, and forecast ledger, prices each call by the model that served it. ## Why this happens Model selection gets framed as a choice between providers, and the arithmetic says otherwise. OpenAI's own ladder runs from $0.20 to $30.00 per million input, a spread of 150 times, which is far wider than the gap between any two providers at the same tier. So the question that moves your bill isn't which vendor you signed with. It's which rung each request lands on, and most stacks route everything to a middle rung because that decision was made once and never revisited. ## What this usually looks like - Every request goes to the same model regardless of how hard the task is. - Nobody has tested whether nano handles your classification and routing work. - The tier was chosen during a quality push and has never been re-examined. - Cost per request is uniform across tasks that differ enormously in difficulty. ## Common mistakes - Comparing vendors before comparing tiers within one vendor. Why it hurts: The within-vendor spread here is 150x, and no cross-vendor comparison at the same tier comes close. Do instead: Price your workload on every rung of one ladder first. The answer is usually there. - Routing mechanical work to a middle tier by default. Why it hurts: Classification and extraction rarely need it, and nano runs at a twelfth of the standard tier's input rate. Do instead: Split traffic by task type and send the mechanical share down, with a check on the output. - Ignoring the cached rate because the model is already cheap. Why it hurts: Cached input here is $0.02 per million, a 90% discount, and percentages still apply at small rates. Do instead: Order the prompt stable-first even on the cheap tier, then confirm cached tokens are billing. ## Self-check - Price last month's workload on nano, mini, standard and Pro. Read the four numbers together. - Sort your request types by difficulty and mark which genuinely need more than nano. - Sample 200 real requests, run them through nano, and score the failures rather than assuming them. - Check what share of nano's input bills at the cached $0.02 rate. - Compare nano against GPT-5.6 Luna, which matches its input rate and prices output slightly lower. ## One workload, four rungs of the same ladder (illustrative) A workload of 50 million input and 10 million output tokens in a month, priced on four OpenAI tiers at real rates. Volumes are modelled and the ratios hold at any volume. GPT-5.4 nano: (50 x $0.20) + (10 x $1.25) = $10.00 + $12.50 = $22.50 GPT-5.4 mini: (50 x $0.75) + (10 x $4.50) = $37.50 + $45.00 = $82.50 GPT-5.4: (50 x $2.50) + (10 x $15.00) = $125.00 + $150.00 = $275.00 GPT-5.4 Pro: (50 x $30.00) + (10 x $180.00) = $1,500.00 + $1,800.00 = $3,300.00 Same tokens, same vendor, and the bill spans 147 times end to end The gap between the top and bottom of one vendor's ladder is 147 times on identical work. Any comparison that starts with which provider to use has skipped the decision that actually sets the bill. ## Cost figures Every figure carries its confidence and its source. No figure on this site is provider-reported. - $0.20 / $1.25 per million — GPT-5.4 nano input and output rates [calculated] Source: Culpa price book row for openai/gpt-5.4-nano, $0.0002 and $0.00125 per 1k, effective 2026-07-02, verified against OpenAI API pricing. Shown here per million. - 150x — input rate of the Pro tier as a multiple of nano, on the same OpenAI rate card [calculated] Source: $30.00 divided by $0.20, from the gpt-5.4-pro and gpt-5.4-nano price-book rows. - $22.50 to $3,300.00 — modelled monthly cost of one identical workload across four OpenAI tiers [estimated] Source: Both endpoints from the teardown arithmetic at real OpenAI rates. A range because the token volumes are modelled. ## FAQ Q: How much does GPT-5.4 nano cost? A: $0.20 per million input tokens and $1.25 per million output, on rates verified against OpenAI's pricing page. Cached input runs at $0.02 per million, a 90% discount on the standard input rate. Q: What is nano actually good for? A: High-volume tagging, routing, classification and guardrail checks, where latency and unit cost matter more than nuance. The way to find out is to run a sample of your real requests through it and score the failures rather than predicting them. Q: How does nano compare to GPT-5.6 Luna? A: They match at $0.20 per million input, and Luna prices output slightly lower at $1.20 against $1.25. On an output-heavy workload that small gap compounds, so it's worth checking which one your traffic favours. ## Sources - OpenAI API pricing: https://developers.openai.com/api/docs/pricing Run the free Cost Leak Scan: https://app.getculpa.com/scan?source=pseo&slug=gpt-5-4-nano-pricing&cluster=model_pricing Machine-readable index of every guide: https://getculpa.com/api/pages Human-readable index of every guide: https://getculpa.com/guides Site overview: https://app.getculpa.com/llms.txt Privacy: Culpa runs on your infrastructure. Your prompts and responses never leave it. Culpa counts calls to run your plan, and it fails open, so if it ever breaks your app keeps running.