The fastest and cheapest way into the GPT-5 ecosystem, built for scale rather than depth.
High-volume, latency-sensitive applications like classification, autocomplete, summarization, and lightweight chat where cost-per-token matters most.
Extremely low input cost at $0.05/1M tokens — among the cheapest in OpenAI's lineup
400K context window is substantial for a budget model, rivaling much pricier options
Fast inference speed suitable for real-time and high-throughput production workloads
Backed by GPT-5 architecture improvements over GPT-4o despite the smaller footprint
Significantly trails GPT-5 and GPT-5 Mini on complex reasoning, multi-step logic, and nuanced instruction-following
See what OpenAI: GPT-5 Nano actually costs at your usage level
Based on OpenAI: GPT-5 Nano API pricing: $0.049999999999999996/1M input · $0.39999999999999997/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
→0% since May 9
4 data points · tracked daily since May 9, 2026
High-volume, latency-sensitive applications like classification, autocomplete, summarization, and lightweight chat where cost-per-token matters most.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Similar models worth checking before you commit.
GPT-4.1 Mini is OpenAI's cost-optimized small model from the GPT-4.1 family, designed to deliver strong instruction-following and coding performance at a fraction of flagship pricing. It targets high-volume, latency-sensitive applications where cost efficiency matters more than peak capability.
Pricing moves, ranking shifts, and capability updates.
OpenAI: GPT-5 Nano (OpenAI) is now indexed. It supersedes GPT-4o. The fastest and cheapest way into the GPT-5 ecosystem, built for scale rather than depth.
View modelOpenAI: GPT-5 Nano is best for high-volume, latency-sensitive applications like classification, autocomplete, summarization, and lightweight chat where cost-per-token matters most.. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and very fast speed.
Avoid if your task requires complex reasoning, detailed code generation, or nuanced writing — GPT-5 Mini or full GPT-5 will deliver meaningfully better results worth the cost premium.
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
OpenAI: GPT-4.1 Mini is the better pick when response time matters more than maximum depth or premium quality.
Newsletter
We track pricing daily. When this model drops or spikes, you'll know first.
No spam. Useful updates only. Affiliate disclosures always clearly labeled.
Avoid if your task requires complex reasoning, detailed code generation, or nuanced writing — GPT-5 Mini or full GPT-5 will deliver meaningfully better results worth the cost premium.
Output cost of $0.40/1M tokens is less competitive relative to rivals like Gemini Flash 2.5 or Claude Haiku 3.5
Not suitable for tasks requiring deep domain expertise, advanced coding, or long-form analytical writing
GPT-4.1 Nano is OpenAI's smallest and most cost-efficient model in the GPT-4.1 family, designed for high-throughput, latency-sensitive tasks at near-commodity pricing. It offers a 1M token context window at just $0.10/1M input tokens, making it one of the cheapest large-context models available.
GPT-5 Mini is OpenAI's budget-tier distillation of GPT-5, designed for high-volume, cost-sensitive tasks that don't require full flagship reasoning depth. It supersedes GPT-4o with improved instruction following and a massively expanded 400K context window at a fraction of the cost.
No reviews yet — be the first.
