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
GPT-4.1 Minispecs & pricing
Verified Sep 4, 2026 against the AI Gateway catalog
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.
Extremely competitive pricing at $0.40/$1.60 per 1M tokens — cheaper than GPT-4o Mini at launch
1M token context window enables full codebase or document analysis at budget rates
Strong instruction-following inherited from the GPT-4.1 family, outperforming GPT-4o Mini on agentic tasks
Fast inference speed suitable for real-time applications and chatbots
Weaknesses
Noticeably weaker than GPT-4.1 and GPT-4o on complex multi-step reasoning and nuanced analysis
No native image generation capability; multimodal input is limited compared to flagship models
Can struggle with highly ambiguous or open-ended creative tasks where GPT-4.1 or Claude Sonnet 4.6 shine
Real-world use cases
What people actually use GPT-4.1 Mini for.
Batch-processing thousands of customer support tickets for classification and draft responses
Analyzing an entire GitHub repository in a single context window to generate documentation
Powering a real-time coding autocomplete or linting assistant with sub-second latency
How GPT-4.1 Mini compares
The nearest models people weigh against it, and what actually separates them.
vs GPT-4.1 Nano — Against GPT-4.1 Nano (OpenAI), GPT-4.1 Mini costs about 75% more per token. GPT-4.1 Nano is the one to check first if the price difference matters more than the ceiling.
vs GPT-5 Mini — Against GPT-5 Mini (OpenAI), GPT-4.1 Mini runs about 11% cheaper per token and takes 2.6x the context. Take GPT-4.1 Mini unless you specifically need what GPT-5 Mini does better.
vs GPT-5 Nano — Against GPT-5 Nano (OpenAI), GPT-4.1 Mini costs about 78% more per token and takes 2.6x the context. GPT-5 Nano is the one to check first if the price difference matters more than the ceiling.
Price History
GPT-4.1 Mini pricing over time
↑0% since May 30
90 data points · tracked daily since May 30, 2026
Ready to try it?
Start using GPT-4.1 Mini
High-volume production workloads that need reliable GPT-4-class instruction following without flagship pricing.. Start free — no card required.
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
5/5 speed
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
5/5 speed
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
5/5 speed
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.
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.
GPT-4.1 Mini costs $0.4 per million input tokens and $1.6 per million output tokens on the API, with cached input at $0.1 per million. A month of 10M input and 2M output tokens runs about $7.20 at list price, before any batch or caching discounts.
What is the context window of GPT-4.1 Mini?
GPT-4.1 Mini has a 1.0M tokens context window, with up to 33k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
What is the knowledge cutoff of GPT-4.1 Mini?
GPT-4.1 Mini's training data runs through April 2024, and the model was released on May 14, 2025. For anything after that date it needs web search or documents in the prompt.
What is GPT-4.1 Mini best for?
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 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 GPT-4.1 Mini?
GPT-5 Nano (OpenAI) at $0.05/1M/1M input against GPT-4.1 Mini's $0.40/1M/1M — roughly 78% less per token all in. The fastest and cheapest way into the GPT-5 ecosystem, built for scale rather than depth. Compare it first if GPT-4.1 Mini's pricing is the thing stopping you.
What is a faster alternative to GPT-4.1 Mini?
GPT-4.1 Nano — very fast against GPT-4.1 Mini's very fast, with 1.0M tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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