GPT-4 32K vs Mistral 7B Instruct (Which is Better in 2024?)
Comparative Analysis: GPT-4 32K vs. Mistral 7B Instruct
Overview
GPT-4 32K was released 6 months before Mistral 7B Instruct.
 GPT-4 32K |  Mistral 7B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | OpenAI | Mistral |
Input Context Window Maximum input tokens this model can process at once | 32.8K tokens | 32.0K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | 8192 tokens |
Release Date When this model first became publicly available | March 14, 2023 1 year ago March 14th, 2023 | September 27, 2023 1 year ago September 27th, 2023 |
Pricing
GPT-4 32K is roughly 240.0x more expensive compared to Mistral 7B Instruct for input tokens and roughly 480.0x more expensive for output tokens.
| GPT-4 32K | Mistral 7B Instruct | |
|---|---|---|
Input Token Cost Cost per million tokens fed into the model | $60.00 per million tokens | $0.25 per million tokens |
Output Token Cost Cost per million tokens generated by the model | $120.00 per million tokens | $0.25 per million tokens |
Benchmarks
Compare relevant benchmarks between GPT-4 32K and Mistral 7B Instruct.
| GPT-4 32K | Mistral 7B Instruct | |
|---|---|---|
MMLU Measures model's ability to answer questions across various domains | Benchmark not available. | 60.1 (5-shot) |
MMMU Evaluates model's performance across diverse tasks and data types | Benchmark not available. | Benchmark not available. |
HellaSwag Assesses the model's ability to understand everyday scenarios | Benchmark not available. | Benchmark not available. |
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.Mistral 7B Instruct, developed by Mistral, features a context window (the maximum amount of text the model can consider at once) of 32.0K tokens (individual units of text or subwords). The model costs $0.25 per million tokens for input (text fed into the model) and $0.25 per million tokens for output (text generated by the model). It was made publicly available on September 27th, 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 60.1 in a 5-shot scenario (a specific testing condition).
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