The fastest and cheapest way into the GPT-5 ecosystem, built for scale rather than depth.
62
Coding
65
Writing
55
Research
0
Images
88
Value
78
Long Context
Use this when
High-volume, latency-sensitive applications like classification, autocomplete, summarization, and lightweight chat where cost-per-token matters most.
Strengths
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
Weaknesses
Significantly trails GPT-5 and GPT-5 Mini on complex reasoning, multi-step logic, and nuanced instruction-following
Monthly cost estimate
See what OpenAI: GPT-5 Nano actually costs at your usage level
Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$0.050
Output cost
$0.200
Total / month
$0.250
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
OpenAI: GPT-5 Nano pricing over time
→0% since May 9
4 data points · tracked daily since May 9, 2026
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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.
Compare alternatives
Similar models worth checking before you commit.
OpenAIBudget
OpenAI: GPT-4.1 Mini
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.
Verdict
The go-to budget workhorse for high-volume OpenAI API users who need GPT-4.1 quality at GPT-3.5 prices.
Quality score
65%
Pricing
$0.40/1M in
$1.60/1M out
Speed
Change history
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
OpenAI: GPT-5 Nano — added to UseRightAI
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.
OpenAI: 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.
When should I avoid OpenAI: GPT-5 Nano?
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.
What is a cheaper alternative to OpenAI: GPT-5 Nano?
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.
What is a faster alternative to OpenAI: GPT-5 Nano?
OpenAI: GPT-4.1 Mini is the better pick when response time matters more than maximum depth or premium quality.
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Skip this if
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
Very fast
Best for high-volume production workloads that need reliable gpt-4-class instruction following without flagship pricing.
Context
1.0M tokens
Pricing shown is $0.40 input / $1.60 output per 1M tokens. Cached input tokens are significantly cheaper. The 1M token context window is a standout feature at this price tier — few competitors match it. Supersedes GPT-4o as the recommended default for cost-conscious applications.
BudgetFastLong ContextOpenAIProduction
Best for
High-volume production workloads that need reliable GPT-4-class instruction following without flagship pricing.
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.
Verdict
The best pick for budget-conscious, high-volume workloads that don't demand frontier intelligence.
Quality score
54%
Pricing
$0.10/1M in
$0.40/1M out
Speed
Very fast
Best for high-volume production workloads like classification, extraction, summarization, and simple q&a where cost and speed matter more than frontier reasoning.
Context
1.0M tokens
Pricing is $0.10/1M input and $0.40/1M output tokens. Officially supersedes GPT-4o in OpenAI's lineup for lightweight use cases. Context window of ~1.047M tokens is one of the largest available at this price tier.
BudgetFastLong ContextHigh VolumeOpenAI
Best for
High-volume production workloads like classification, extraction, summarization, and simple Q&A where cost and speed matter more than frontier reasoning.
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.
Verdict
The new budget default for OpenAI API users: faster, cheaper, and smarter than GPT-4o with a context window that punches well above its price tier.
Quality score
66%
Pricing
$0.25/1M in
$2.00/1M out
Speed
Very fast
Best for high-volume production workloads — chatbots, summarization pipelines, and document q&a — where cost efficiency matters more than peak reasoning.
Context
400k tokens
Output cost of $2/1M tokens is higher than some competing budget models (Gemini Flash at ~$0.60/1M output). At scale, output-heavy tasks may erode cost advantages — monitor token ratios carefully. Supersedes GPT-4o, which may be deprecated on a rolling basis.
BudgetFastLong ContextHigh VolumeOpenAI
Best for
High-volume production workloads — chatbots, summarization pipelines, and document Q&A — where cost efficiency matters more than peak reasoning.