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GPT-4 Review

GPT-4 is a large multimodal model developed by OpenAI that can accept image and text inputs and produce text outputs.

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GPT-4 - AI tool

Why it matters

1GPT-4, developed by OpenAI, was released on March 14, 2023, advancing the field of artificial intelligence.
2It is a large multimodal model capable of accepting both image and text inputs to generate text outputs.
3The model exhibits human-level performance on various professional and academic benchmarks.
4GPT-4 and its successors (GPT-4 Turbo, GPT-4o) are available via OpenAI's API, with usage-based pricing starting at $0.03 per 1,000 input tokens.

Stork’s verdict on GPT-4

GPT-4 offers human-level performance for multimodal inputs, but newer models have superseded it in the primary ChatGPT interface, making it an API workhorse.

GPT-4 reviewed by Stork AI · stork.ai/en/gpt-4

About GPT-4

Business Model
Subscription SaaS
Headquarters
San Francisco, USA
Founded
2015
Team Size
201-500
Funding
Series D
Total Raised
$1 billion
Target Audience
Developers and businesses looking to integrate advanced AI capabilities into their applications.
API Docs

Specs

API Docs

View Documentation →

GitHub

View Repository →

API Available

Yes, public API

overview

What is GPT-4?

GPT-4 is a large multimodal model tool developed by OpenAI that enables developers and businesses to accept image and text inputs and produce text outputs. It exhibits human-level performance on professional and academic benchmarks. Released on March 14, 2023, GPT-4 has significantly advanced the field of artificial intelligence. While newer models like GPT-5 have superseded it in the primary ChatGPT interface, GPT-4 and its direct successors, including GPT-4 Turbo and GPT-4o, remain available and widely utilized through OpenAI's API. GPT-4 Turbo, announced in November 2023, featured a 128,000 token context window and an updated knowledge cutoff of December 2023. GPT-4o, released in May 2024, is a multimodal and multilingual model capable of natively processing and generating text, audio, and images, with response times as low as 320 milliseconds. A more cost-effective version, GPT-4o mini, was released on July 18, 2024, replacing GPT-3.5 Turbo on the ChatGPT interface. Despite the retirement of GPT-4.5 and other GPT-4 models from ChatGPT as of May 29, 2026, the core GPT-4 models continue to be accessible for developers via the OpenAI API.

features

Key Features of GPT-4

GPT-4 and its subsequent iterations offer a robust set of features designed for advanced AI applications, focusing on multimodal understanding and generation. These capabilities enable a wide range of applications from content creation to complex data analysis.

  • Accepts image and text inputs for processing.
  • Produces coherent and contextually relevant text outputs.
  • Offers an API for integration into custom applications and services.
  • Exhibits human-level performance on professional and academic benchmarks, including standardized tests.
  • Generates natural language for various content types, such as articles, poems, and scripts.
  • Assists with software development tasks, including code generation, debugging, and documentation.
  • Handles vision or language tasks based on combined text and image prompts.
  • GPT-4 Turbo provides a 128,000 token context window, equivalent to approximately 300 pages of text.
  • GPT-4o natively processes and generates text, audio, and images, with fast response times (as low as 320 milliseconds).
  • GPT-4o supports over 50 languages, enhancing its global applicability.

use cases

Who Should Use GPT-4?

GPT-4 is designed for developers, businesses, and individuals requiring advanced AI capabilities for complex tasks involving language and multimodal data. Its versatility makes it suitable for a broad spectrum of applications.

  • Content Creators: For generating articles, blogs, poems, scripts, and social media content efficiently.
  • Software Developers: For assisting with code generation, debugging, documentation, and porting programs between languages.
  • Customer Service Operations: For powering advanced chatbots that provide accurate and empathetic responses, reducing response times.
  • Data Analysts: For analyzing large datasets, processing spreadsheets, developing statistical models, and identifying patterns.
  • Researchers: For processing unstructured data from academic papers and industry reports to identify trends and extract insights.

pricing

GPT-4 Pricing & Plans

OpenAI offers access to the GPT-4 family of models through a hybrid pricing structure, including freemium access via ChatGPT and usage-based pricing for API access. Freemium access to models like GPT-4o mini is available through the ChatGPT interface, with capacity limits. Paid subscriptions to ChatGPT Plus or Team historically provided higher limits and access to more advanced GPT-4 models. For developers utilizing the OpenAI API, pricing for GPT-4 is usage-based, calculated per 1,000 tokens. For the base GPT-4 model, input tokens are priced at $0.03 per 1,000 tokens, and output tokens are priced at $0.06 per 1,000 tokens. Pricing for GPT-4 Turbo and GPT-4o models may vary, often offering improved cost-effectiveness. API rate limits, applied in terms of requests per minute (RPM) and tokens per minute (TPM), vary based on account type, usage history, and the specific model. For example, default tiers for GPT-4o might allow 3,500 RPM and 90,000 TPM. Users can request higher rate limits through OpenAI's support team.

  • Freemium: Access to GPT-4o mini via the ChatGPT interface with capacity limits.
  • API Usage (GPT-4): Input tokens at $0.03 per 1,000 tokens; Output tokens at $0.06 per 1,000 tokens.
  • API Usage (GPT-4 Turbo): Input tokens at $0.01 per 1,000 tokens; Output tokens at $0.03 per 1,000 tokens (as of November 2023).
  • API Usage (GPT-4o): Input tokens at $0.005 per 1,000 tokens; Output tokens at $0.015 per 1,000 tokens (as of May 2024).

Similar Tools

GPT-4 vs Competitors

The large language model landscape is highly competitive, with several models offering capabilities that rival or complement GPT-4. Key competitors include offerings from Google, Anthropic, Meta, and Mistral AI.

1
Google Gemini↗

Deep integration with Google's ecosystem and services, offering strong multimodal capabilities and a large context window.

Gemini Advanced, powered by Gemini 1.5 Pro, directly competes with GPT-4 in advanced reasoning and multimodal input (text, image, audio, video). It offers a freemium model with a paid 'Google AI Pro' tier at $19.99/month, similar to ChatGPT Plus.

2
Anthropic ClaudeOn StorkCompare

Strong emphasis on safety, steerability, and very large context windows, with advanced multimodal capabilities.

Claude 3 Opus is a top-tier competitor to GPT-4, excelling in complex reasoning, code generation, and multimodal understanding (text and image). It offers a freemium model with a 'Pro' tier at $20/month, similar to GPT-4's paid access.

3
Meta Llama 3On StorkCompare

Open-source availability and strong performance across various benchmarks, enabling broad customization and on-premise deployment.

Llama 3 (especially the 405B model) offers capabilities that rival top closed-source models like GPT-4, but its open-source nature provides greater flexibility for developers and enterprises. It is primarily distributed for self-hosting, contrasting with GPT-4's API-first proprietary model.

4
Mistral AIOn StorkCompare

Focus on efficiency, strong multilingual capabilities, and competitive performance with a balance of open-source and commercial offerings.

Mistral Large is positioned as a strong competitor to GPT-4 in reasoning and multilingual tasks, often praised for its cost-effectiveness and speed. It offers both a freemium chat interface ('Le Chat') and API access with usage-based pricing.

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