AIAIFindr.app
Op

OpenAI: GPT-4.1 Nano

by OpenAI

8.7
Quality score / 10

Overview

For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...

Our take

The description calls it the fastest and lowest-cost model in the GPT-4.1 line, priced at $0.10 per 1M input tokens, cheaper than roughly three-quarters of comparable models. Despite the small size it keeps the 1,047,576-token context window plus vision, tool and function calling and structured JSON output. That makes it a natural fit for high-volume, latency-sensitive jobs like tagging and routing a stream of incoming messages, extracting fields from long documents into JSON, or powering an autocomplete feature where every millisecond and cent counts. Unlike Claude Sonnet 5 or ChatGPT, which chase top-end reasoning, this is deliberately positioned at the speed-and-price end while still offering the same large context and multimodal input; against its Mini and full siblings it sacrifices some capability for the lowest cost in the family. The caveat is no free tier and a June 2024 knowledge cutoff. Ideal for developers embedding an assistant into products at scale who need long context and vision without paying premium rates. Choose it for cheap, fast, high-throughput tasks; move up the line when a job demands deeper reasoning than a nano model can give.

How OpenAI: GPT-4.1 Nano stacks up

Among the 367 chatbots & llms tools in our directory, it ranks #90 of 357 on quality (8.7/10), 9% above the 357-tool average of 8.0, and its $0.1/1M input-token rate is in the budget end — 95% cheaper than the 347-model average of $2.01/1M.

Weighing quality against cost, OpenAI: GPT-4.1 Nano's cost-per-quality-point of $0.01 places it in the top 13% for value among chatbots & llms tools.

OpenAI: GPT-4.1 Nano in depth

OpenAI: GPT-4.1 Nano, built by OpenAI, sits in the chatbots & llms space and is a paid tool starting at $0.10/1M tokens. Our editors rate it 8.7 out of 10 based on capability, ecosystem and value. It handles a context window of 1,047,576 tokens.

On the feature side, OpenAI: GPT-4.1 Nano brings 1,047,576-token context window, vision (image input), tool / function calling and structured (json) outputs. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.

Its biggest strength is low api price — $0.1 per 1m input tokens, cheaper than roughly 75% of comparable models, while the main trade-off to weigh is that no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.

OpenAI: GPT-4.1 Nano is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.

Speed
Context window
1,047,576 tokens
Free tier
No
Updated
2026-08-28

Key features

  • 1,047,576-token context window
  • Vision (image input)
  • Tool / function calling
  • Structured (JSON) outputs
  • Knowledge cutoff 2024-06-30

Pricing

$0.10/1M tokens
Pay per token
Paid$0.10/1M tokens
API input
$0.1 / 1M tokens
API output
$0.4 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +Low API price — $0.1 per 1M input tokens, cheaper than roughly 75% of comparable models
  • +Large 1,047,576-token context window, bigger than most models listed here
  • +Accepts images as input (vision-capable)
  • +Supports tool / function calling for agent-style workflows

Cons

  • No free tier — usage is billed per token

Who should use OpenAI: GPT-4.1 Nano

  • Anyone looking for a chatbots & llms tool from OpenAI.
  • Teams and individuals focused on research and writing.
  • People who value low api price — $0.1 per 1m input tokens, cheaper than roughly 75% of comparable models.
  • Workflows that need a 1,047,576 tokens context window.

Who should look elsewhere

  • Anyone who needs a free tier — this tool is paid only.
  • Those for whom no free tier — usage is billed per token is a dealbreaker.

Best for

10 Best OpenAI: GPT-4.1 Nano Alternatives in 2026

OpenAI: GPT-4.1 Nano is a strong chatbots & llms tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to OpenAI: GPT-4.1 Nano, ranked and compared.

1
ClaudeFree tier$20/mo

Anthropic

Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…

+ Best-in-class long-document reasoning+ Natural, high-quality writing+ Strong safety and reliability
Read full Claude review →
2
ChatGPTFree tier$20/mo

OpenAI

ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…

+ Most polished and widely supported ecosystem+ Excellent general reasoning and coding+ Huge third-party integration support
Read full ChatGPT review →
3
GeminiFree tier$20/mo

Google DeepMind

Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…

+ Massive context window+ Tight integration with Google ecosystem+ Generous free access
Read full Gemini review →
4
Qwen: Qwen3.8 FlashPaid$0.15/1M tokens

Qwen

Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows…

+ Low API price — $0.15 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Qwen: Qwen3.8 Flash review →
5
Z.ai: GLM 5.3 FlashPaid$0.07/1M tokens

Z.AI

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks.

+ Low API price — $0.075 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,310,720-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Z.ai: GLM 5.3 Flash review →
6

Meta

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an…

+ Low API price — $0.1 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Meta: Muse Spark 1.2 Contributor review →
7

DeepSeek

DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash…

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full DeepSeek: DeepSeek V4 Flash Vision Exp review →
8
Qwen: Qwen3.8 27BPaid$0.42/1M tokens

Qwen

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows…

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Qwen: Qwen3.8 27B review →
9

Google

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step…

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Google: Gemini 3.7 Flash (batch) review →
10
Meta: Muse Spark 1.2Paid$1.25/1M tokens

Meta

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks.

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Meta: Muse Spark 1.2 review →

OpenAI: GPT-4.1 Nano vs top alternatives

A side-by-side look at how OpenAI: GPT-4.1 Nano stacks up against its closest rivals.

FeatureOpenAI: GPT-4.1 NanoOpenAIClaudeAnthropicChatGPTOpenAIGeminiGoogle DeepMind
Quality score8.7 / 109.6 / 109.5 / 109.2 / 10
Starting price$0.10/1M tokens$20/mo$20/mo$20/mo
Free tierNoYes — Free tier availableYes — Free tier availableYes — Free tier available
API input price$0.1 / 1M tokens$10 / 1M tokens$0.2 / 1M tokens$0.1875 / 1M tokens
API output price$0.4 / 1M tokens$50 / 1M tokens$1.2 / 1M tokens$0.9375 / 1M tokens
SpeedFastFastFast
Context window1,047,576 tokens200K tokens128K tokens1M-2M tokens
CategoriesChatbots & LLMsChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, Writing
Key features
  • 1,047,576-token context window
  • Vision (image input)
  • Tool / function calling
  • Structured (JSON) outputs
  • Industry-leading long context (200K+ tokens)
  • Artifacts for live previews
  • Strong agentic coding (Claude Code)
  • Vision and document analysis
  • Multimodal text, image and voice input
  • Advanced data analysis (code interpreter)
  • Custom GPTs and GPT Store
  • Web browsing and real-time search
  • Up to 2M token context window
  • Deep Google Workspace integration
  • Native video and audio understanding
  • Real-time Google Search grounding
Pros
  • + Low API price — $0.1 per 1M input tokens, cheaper than roughly 75% of comparable models
  • + Large 1,047,576-token context window, bigger than most models listed here
  • + Accepts images as input (vision-capable)
  • + Supports tool / function calling for agent-style workflows
  • + Best-in-class long-document reasoning
  • + Natural, high-quality writing
  • + Strong safety and reliability
  • + Most polished and widely supported ecosystem
  • + Excellent general reasoning and coding
  • + Huge third-party integration support
  • + Massive context window
  • + Tight integration with Google ecosystem
  • + Generous free access
Cons
  • No free tier — usage is billed per token
  • No native image generation
  • Fewer consumer integrations than ChatGPT
  • Usage caps on the most capable models
  • Can be verbose and overly cautious
  • Quality can be inconsistent on edge cases
  • Privacy concerns for some users

Frequently asked questions

Q. Is OpenAI: GPT-4.1 Nano free?

No — OpenAI: GPT-4.1 Nano is a paid tool, starting at $0.10/1M tokens.

Q. How much does OpenAI: GPT-4.1 Nano cost?

OpenAI: GPT-4.1 Nano starts at $0.10/1M tokens. API usage is around $0.1 per 1M input tokens and $0.4 per 1M output tokens.

Q. What is OpenAI: GPT-4.1 Nano best for?

OpenAI: GPT-4.1 Nano is best suited to research and writing, within the chatbots & llms category.

Q. What are the best OpenAI: GPT-4.1 Nano alternatives?

Popular alternatives to OpenAI: GPT-4.1 Nano include Claude, ChatGPT, Gemini and Qwen: Qwen3.8 Flash. Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to OpenAI: GPT-4.1 Nano?

Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.

Q. Why switch from OpenAI: GPT-4.1 Nano?

Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token), data-privacy requirements, or simply wanting a tool that fits your stack better.

How we rate AI tools

Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.

Ready to try OpenAI: GPT-4.1 Nano?

Start with the official plans and upgrade as you grow.

Visit OpenAI: GPT-4.1 Nano