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OpenAI: GPT-4.1 Mini

The go-to budget workhorse for high-volume OpenAI API users who need GPT-4.1 quality at GPT-3.5 prices.

Coding

Writing

Research

Images

Value

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 Mar 2026

Context

1.0M tokens

Speed

Very fast

How to access

API

$0.39999999999999997/1M input tokens

Subscription = chat interface. API = build with it. Compare all subscription plans

Switch to instead if...

Best overall

Claude Opus 4.6

Cheaper option

Meta: Llama 3.1 8B Instruct

Faster option

OpenAI: GPT-4.1 Nano

Strengths

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

Monthly cost estimate

See what OpenAI: GPT-4.1 Mini actually costs at your usage level

Input tokens / month1M

10k50M

Output tokens / month500k

10k25M

Input cost

$0.400

Output cost

$0.800

Total / month

$1.20

Based on OpenAI: GPT-4.1 Mini API pricing: $0.39999999999999997/1M input · $1.5999999999999999/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.

Price History

OpenAI: GPT-4.1 Mini pricing over time

→0% since Mar 27

2 data points · tracked daily since Mar 27, 2026

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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.

View model

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OpenAI: GPT-5 Mini

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.

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OpenAIBudget

OpenAI: GPT-5 Nano

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.

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Change history

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.

View model

FAQ

What is OpenAI: GPT-4.1 Mini best for?

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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OpenAI: GPT-4.1 Mini

The go-to budget workhorse for high-volume OpenAI API users who need GPT-4.1 quality at GPT-3.5 prices.

Coding

Writing

Research

Images

Value

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 Mar 2026

Context

1.0M tokens

Speed

Very fast

How to access

API

$0.39999999999999997/1M input tokens

Subscription = chat interface. API = build with it. Compare all subscription plans

Strengths

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

FAQ

What is OpenAI: GPT-4.1 Mini best for?

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.