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OpenAI: GPT-4.1

by OpenAI

8.7
Quality score / 10
Visit OpenAI: GPT-4.1 →Paid$2.00/1M tokens

Overview

GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...

Our take

What genuinely separates this flagship from the field is its optimisation for real-world software engineering and long-context reasoning, backed by an unusually large 1,047,576-token context window. It supports vision, tool and function calling and structured JSON output, and its description positions it as outperforming GPT-4o on instruction following. A concrete use: loading an entire repository and its documentation into one prompt and asking the model to trace a bug across files and return a structured patch plan that downstream tooling can parse. Unlike Claude Sonnet 5 or Gemini, which compete as general assistants, this leans into engineering-grade instruction following and very long context, with vision available for reading screenshots or diagrams. The main drawback is above-average API pricing at $2 per 1M input tokens, and there is no free tier; its knowledge cutoff is June 2024. Ideal for developers and technical teams who need faithful instruction following over large codebases and value reliable JSON output for automated pipelines. Choose it when engineering quality and long-context accuracy justify the premium; look to cheaper siblings or rivals if budget is the deciding factor or you need more current knowledge.

How OpenAI: GPT-4.1 stacks up

Among the 372 chatbots & llms tools in our directory, it ranks #101 of 367 on quality (8.7/10), 8% above the 367-tool average of 8.0, and its $2/1M input-token rate is in the premium end — 3% pricier than the 355-model average of $1.95/1M.

Weighing quality against cost, OpenAI: GPT-4.1's cost-per-quality-point of $0.23 places it at #281 of 346 for value among chatbots & llms tools.

OpenAI: GPT-4.1 in depth

OpenAI: GPT-4.1, built by OpenAI, sits in the chatbots & llms space and is a paid tool starting at $2.00/1M 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 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 large 1,047,576-token context window, bigger than most models listed here, while the main trade-off to weigh is that above-average api pricing ($2 per 1m input tokens). Keep both in mind when deciding whether it fits your workflow.

OpenAI: GPT-4.1 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
2026-10-12

Key features

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

Pricing

$2.00/1M tokens
Pay per token
Paid$2.00/1M tokens
API input
$2 / 1M tokens
API output
$8 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +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
  • +Can return structured JSON output for reliable parsing

Cons

  • −Above-average API pricing ($2 per 1M input tokens)

Who should use OpenAI: GPT-4.1

  • →Anyone looking for a chatbots & llms tool from OpenAI.
  • →Teams and individuals focused on research and writing.
  • →People who value large 1,047,576-token context window, bigger than most models listed here.
  • →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 above-average api pricing ($2 per 1m input tokens) is a dealbreaker.

Best for

10 Best OpenAI: GPT-4.1 Alternatives in 2026

OpenAI: GPT-4.1 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, 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
StepFun: Step 5 PreviewPaid$1.00/1M tokens

Stepfun

Step 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B…

+ 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 StepFun: Step 5 Preview review →
5
Anthropic: Claude Haiku 5.5Paid$0.10/1M tokens

Anthropic

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization…

+ Low API price — $0.1 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 Anthropic: Claude Haiku 5.5 review →
6
Mistral: Mistral Large 4Paid$0.68/1M tokens

Mistral AI

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and…

+ 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 Mistral: Mistral Large 4 review →
7
OpenAI: GPT-6.1 Sol ProPaid$2.00/1M tokens

OpenAI

GPT-6.1 Sol Pro is the same underlying model as [GPT-6.1 Sol](https://openrouter.ai/openai/gpt-6.1-sol), served with…

+ Large 1,050,000-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 OpenAI: GPT-6.1 Sol Pro review →
8
OpenAI: GPT-6.1 SolPaid$2.00/1M tokens

OpenAI

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series.

+ Large 1,050,000-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 OpenAI: GPT-6.1 Sol review →
9
Anthropic: Claude Sonnet 5.5Paid$2.00/1M tokens

Anthropic

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a…

+ 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 Anthropic: Claude Sonnet 5.5 review →
10
Fireworks: Ember-1Paid$3.00/1M tokens

Fireworks

Ember-1 is a specialized reasoning model from Fireworks Research, built on [Kimi…

+ 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 Fireworks: Ember-1 review →

OpenAI: GPT-4.1 vs top alternatives

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

FeatureOpenAI: GPT-4.1OpenAIClaudeAnthropicChatGPTOpenAIGeminiGoogle DeepMind
Quality score8.7 / 109.6 / 109.5 / 109.2 / 10
Starting price$2.00/1M tokens$20/mo$20/mo$20/mo
Free tierNoYes — Free tier availableYes — Free tier availableYes — Free tier available
API input price$2 / 1M tokens$0.1 / 1M tokens$2 / 1M tokens$0.75 / 1M tokens
API output price$8 / 1M tokens$0.5 / 1M tokens$10 / 1M tokens$3.75 / 1M tokens
Speed—FastFastFast
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
  • + 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
  • + Can return structured JSON output for reliable parsing
  • + 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
  • − Above-average API pricing ($2 per 1M input tokens)
  • − 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 free?

No — OpenAI: GPT-4.1 is a paid tool, starting at $2.00/1M tokens.

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

OpenAI: GPT-4.1 starts at $2.00/1M tokens. API usage is around $2 per 1M input tokens and $8 per 1M output tokens.

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

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

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

Popular alternatives to OpenAI: GPT-4.1 include Claude, ChatGPT, Gemini and StepFun: Step 5 Preview. Each trades off price, quality and ecosystem differently.

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

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?

Common reasons include pricing, specific feature gaps (Above-average API pricing ($2 per 1M input tokens)), 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.

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