The go-to budget workhorse for high-volume OpenAI API users who need GPT-4.1 quality at GPT-3.5 prices.
74
Coding
70
Writing
65
Research
0
Images
91
Value
82
Long Context
Use this when
High-volume production workloads that need reliable GPT-4-class instruction following without flagship pricing.
Skip this if
Avoid if your task requires deep multi-step reasoning, complex mathematical problem-solving, or high-stakes analysis where GPT-4.1 or Claude Sonnet 4.6's extra capability justifies the higher cost.
Pricing
$0.40/1M in
$1.60/1M out
→0%since May 2026
Context
1.0M tokens
Speed
Very fast
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.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
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OpenAIBudget
OpenAI: GPT-4.1 Nano
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.
GPT-5 Nano is OpenAI's smallest and fastest model in the GPT-5 family, optimized for high-throughput, low-latency tasks at near-minimal cost. It supersedes GPT-4o as the go-to option for lightweight inference at scale.
Verdict
The fastest and cheapest way into the GPT-5 ecosystem, built for scale rather than depth.
Quality score
58%
Pricing
$0.05/1M in
$0.40/1M out
Speed
Very fast
Best for high-volume, latency-sensitive applications like classification, autocomplete, summarization, and lightweight chat where cost-per-token matters most.
Context
400k tokens
Output cost of ~$0.40/1M tokens means output-heavy workloads (long generations) will accumulate cost faster than input-heavy ones. Best suited for tasks where outputs are short-to-medium length. No image generation capability.
BudgetFastHigh VolumeLong ContextGPT-5 Family
Best for
High-volume, latency-sensitive applications like classification, autocomplete, summarization, and lightweight chat where cost-per-token matters most.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
OpenAI: GPT-4.1 Mini — added to UseRightAI
OpenAI: GPT-4.1 Mini (OpenAI) is now indexed. It supersedes GPT-4o. The go-to budget workhorse for high-volume OpenAI API users who need GPT-4.1 quality at GPT-3.5 prices.
OpenAI: GPT-4.1 Mini is best for high-volume production workloads that need reliable gpt-4-class instruction following without flagship pricing.. 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-4.1 Mini?
Avoid if your task requires deep multi-step reasoning, complex mathematical problem-solving, or high-stakes analysis where GPT-4.1 or Claude Sonnet 4.6's extra capability justifies the higher cost.
What is a cheaper alternative to OpenAI: GPT-4.1 Mini?
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-4.1 Mini?
OpenAI: GPT-4.1 Nano is the better pick when response time matters more than maximum depth or premium quality.
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