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OpenAI: GPT-4.1 (batch)

by OpenAI

8.7
Quality score / 10

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

For developers grappling with complex, multi-stage coding tasks, OpenAI: GPT-4.1 (batch) offers a distinct approach. Unlike general-purpose chatbots such as ChatGPT or Gemini, this model is positioned for advanced instruction following and real-world software engineering. Its substantial 1,047,576-token context window, larger than most models listed here, allows for extensive code analysis or multi-file project understanding within a single prompt. The ability to accept image input via Vision and return structured JSON outputs further supports agent-style workflows, for instance, when interpreting UI mock-ups to generate corresponding code. The tool is ideal for engineers who require precise, long-context reasoning and structured outputs for integration into automated systems, particularly given its 2024-06-30 knowledge cutoff. Given that there is no free tier and usage is billed per token, those with sporadic or experimental needs may find the cost prohibitive.

How OpenAI: GPT-4.1 (batch) stacks up

Among the 368 chatbots & llms tools in our directory, it ranks #79 of 354 on quality (8.7/10), 9% above the 354-tool average of 7.9, and its $1/1M input-token rate is in the premium end — 37% cheaper than the 344-model average of $1.59/1M.

Weighing quality against cost, OpenAI: GPT-4.1 (batch)'s cost-per-quality-point of $0.11 places it at #213 of 325 for value among chatbots & llms tools.

OpenAI: GPT-4.1 (batch) in depth

OpenAI: GPT-4.1 (batch), built by OpenAI, sits in the chatbots & llms space and is a paid tool starting at $1.00/1M 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 (batch) 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 no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.

OpenAI: GPT-4.1 (batch) 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
2026-08-13

Key features

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

Pricing

$1.00/1M tokens
Pay per token
Paid$1.00/1M tokens
API input
$1 / 1M tokens
API output
$4 / 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

  • No free tier — usage is billed per token

Who should use OpenAI: GPT-4.1 (batch)

  • 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 no free tier — usage is billed per token is a dealbreaker.

Best for

10 Best OpenAI: GPT-4.1 (batch) Alternatives in 2026

OpenAI: GPT-4.1 (batch) 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 (batch), 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
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 →
5
Qwen: Qwen3.8 MaxPaid$2.00/1M tokens

Qwen

Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max…

+ 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 Max review →
6
Qwen: Qwen3.7 FlashPaid$0.03/1M tokens

Qwen

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding…

+ Low API price — $0.03 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: Qwen3.7 Flash review →
7
Claude Opus 5 (Fast)Paid$10.00/1M tokens

Anthropic

Fast-mode variant of [Opus 5](/anthropic/claude-opus-5) - identical capabilities with higher output speed at 2x pricing…

+ 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 Claude Opus 5 (Fast) review →
8
Claude Opus 5 (batch)Paid$2.50/1M tokens

Anthropic

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work.

+ 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 Claude Opus 5 (batch) review →
9

Google

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development.

+ 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 3.6 Flash (batch) review →
10

Google

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities.

+ Low API price — $0.15 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 Google: Gemini 3.5 Flash Lite (batch) review →

OpenAI: GPT-4.1 (batch) vs top alternatives

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

FeatureOpenAI: GPT-4.1 (batch)OpenAIClaudeAnthropicChatGPTOpenAIGeminiGoogle DeepMind
Quality score8.7 / 109.6 / 109.5 / 109.2 / 10
Starting price$1.00/1M tokens$20/mo$20/mo$20/mo
Free tierNoYes — Free tier availableYes — Free tier availableYes — Free tier available
API input price$1 / 1M tokens$10 / 1M tokens$0.1 / 1M tokens$0.75 / 1M tokens
API output price$4 / 1M tokens$50 / 1M tokens$0.6 / 1M tokens$3.75 / 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
  • + 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
  • 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 (batch) free?

No — OpenAI: GPT-4.1 (batch) is a paid tool, starting at $1.00/1M tokens.

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

OpenAI: GPT-4.1 (batch) starts at $1.00/1M tokens. API usage is around $1 per 1M input tokens and $4 per 1M output tokens.

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

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

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

Popular alternatives to OpenAI: GPT-4.1 (batch) include Claude, ChatGPT, Gemini and Meta: Muse Spark 1.2. Each trades off price, quality and ecosystem differently.

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

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 (batch)?

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.

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