Claude 3.5 Sonnet vs Gemini Pro (Which is Better in 2024?)
Comparative Analysis: Claude 3.5 Sonnet vs. Gemini Pro
Overview
Gemini Pro was released 6 months before Claude 3.5 Sonnet.
 Claude 3.5 Sonnet |  Gemini Pro | |
|---|---|---|
Model Provider The organization behind this AI's development | Anthropic | Google |
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 | 8192 tokens |
Release Date When this model first became publicly available | June 20, 2024 4 months ago June 20th, 2024 | December 13, 2023 10 months ago December 13th, 2023 |
Pricing
| Claude 3.5 Sonnet | Gemini Pro | |
|---|---|---|
Input Token Cost Cost per million tokens fed into the model | $3.00 per million tokens | Not specified |
Output Token Cost Cost per million tokens generated by the model | $15.00 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between Claude 3.5 Sonnet and Gemini Pro.
| Claude 3.5 Sonnet | Gemini Pro | |
|---|---|---|
MMLU Measures model's ability to answer questions across various domains | 90.4 (5-shot CoT) | 71.8 (5-shot) |
MMMU Evaluates model's performance across diverse tasks and data types | 68.3 (0-shot CoT) | 47.9 (pass@1) |
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).Gemini Pro, developed by Google, 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). It was made publicly available on December 13th, 2023. 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 71.8 in a 5-shot scenario (a specific testing condition).
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