Claude 3.5 Sonnet vs GPT-4 32K (Which is Better in 2024?)
Comparative Analysis: Claude 3.5 Sonnet vs. GPT-4 32K
Overview
GPT-4 32K was released 1 year before Claude 3.5 Sonnet.
 Claude 3.5 Sonnet |  GPT-4 32K | |
|---|---|---|
Model Provider The organization behind this AI's development | Anthropic | OpenAI |
Input Context Window Maximum input tokens this model can process at once | 200.0K tokens | 32.8K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 4096 tokens | Not specified tokens |
Release Date When this model first became publicly available | June 20, 2024 3 months ago June 20th, 2024 | March 14, 2023 1 year ago March 14th, 2023 |
Pricing
Claude 3.5 Sonnet is roughly 0.05x less expensive compared to GPT-4 32K for input tokens and roughly 0.1x less expensive for output tokens.
| Claude 3.5 Sonnet | GPT-4 32K | |
|---|---|---|
Input Token Cost Cost per million tokens fed into the model | $3.00 per million tokens | $60.00 per million tokens |
Output Token Cost Cost per million tokens generated by the model | $15.00 per million tokens | $120.00 per million tokens |
Benchmarks
Compare relevant benchmarks between Claude 3.5 Sonnet and GPT-4 32K.
| Claude 3.5 Sonnet | GPT-4 32K | |
|---|---|---|
MMLU Measures model's ability to answer questions across various domains | 90.4 (5-shot CoT) | Benchmark not available. |
MMMU Evaluates model's performance across diverse tasks and data types | 68.3 (0-shot CoT) | Benchmark not available. |
HellaSwag Assesses the model's ability to understand everyday scenarios | Benchmark not available. | Benchmark not available. |
Claude 3.5 Sonnet, developed by Anthropic, features a context window (the maximum amount of text the model can consider at once) of 200.0K tokens (individual units of text or subwords). The model costs $3.00 per million tokens for input (text fed into the model) and $15.00 per million tokens for output (text generated by the model). It was made publicly available on June 20th, 2024. It has achieved impressive scores in benchmarks (standardized tests for AI models) like MMLU (Massive Multitask Language Understanding, a test of general knowledge) with a score of 90.4 in a 5-shot CoT scenario (a specific testing condition).GPT-4 32K, developed by OpenAI, features a context window (the maximum amount of text the model can consider at once) of 32.8K tokens (individual units of text or subwords). The model costs $60.00 per million tokens for input (text fed into the model) and $120.00 per million tokens for output (text generated by the model). It was made publicly available on March 14th, 2023.
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