LLM Comparison Tool
GPT-4 Turbo vs Claude 3.5 Sonnet
Comparison of Large Language Model capabilities, costs, and benchmark performance between OpenAI's GPT-4 Turbo and Anthropic's Claude 3.5 Sonnet.
GPT-4 Turbo is 233.3% more expensive than Claude 3.5 Sonnet
GPT-4 Turbo was released 7 months before before Claude 3.5 Sonnet
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
OpenAI
AnthropicModel Name
Name of the model.
GPT-4 Turbo
Claude 3.5 Sonnet
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$10.00per million tokens
$3.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$30.00per million tokens
$15.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
128000Ktokens
200000Ktokens
Response Length
Maximum length of a single generated response.
4096Ktokens
8192Ktokens
Initial Release
First public release date.
November 6, 2023
June 20, 2024
Training Data Cutoff
Latest date of data included in training.
December 2023
April 2024
License Type
Model licensing and availability.
Proprietary
Proprietary
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
Not available
90.4score
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
Not available
68.3score
Common Sense (HellaSwag)
Understanding of everyday scenarios and situations.
Not available
Not available
Code Generation (HumanEval)
Ability to write and understand programming code.
Not available
Not available
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
Not available
71.1score
0-shot
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10+ AI Templates
Ready-to-use demos for text, image & chat
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Modern Tech Stack
Next.js 14, TypeScript & Tailwind
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AI Integrations
OpenAI, Anthropic & Replicate ready
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Full Infrastructure
Auth, database & payments included
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Professional Design
6+ landing pages & modern UI kit
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Production Ready
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All Large Language Models
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FAQ
Frequently asked questions
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