Compare GPT-4 0613 vs. Mistral Large 2

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Understand and compare GPT-4 0613 vs. Mistral Large 2

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Overview

GPT-4 0613 was released about 1 year before Mistral Large 2.

	GPT-4 0613	Mistral Large 2
Provider The entity that provides this model.	OpenAI	Mistral
Input Context Window The number of tokens supported by the input context window.	8,192 tokens	128K tokens
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	8,192 tokens	8,192 tokens
Release Date When the model was first released.	June 13th, 2023 about 1 year ago 2023-06-13	July 24th, 2024 about 2 months ago 2024-07-24
Knowledge Cutoff Limit on the knowledge base used by the model.	September 2021 September 2021	Unknown
Open Source	No	Yes
API Providers The providers that offer this model. (This is not an exhaustive list.)	OpenAI	Azure AI, AWS Bedrock, Google Cloud Vertex AI Model Garden, Snowflake Cortex

Pricing

GPT-4 0613 is roughly 10x more expensive compared to Mistral Large 2 for input tokens and roughly 6.7x more expensive for output tokens.

	GPT-4 0613	Mistral Large 2
Input Cost of input data provided to the model.	$30.00 per million tokens	$3.00 per million tokens
Output Cost of output tokens generated by the model.	$60.00 per million tokens	$9.00 per million tokens

Benchmarks

Compare relevant benchmarks between GPT-4 0613 and Mistral Large 2.

	GPT-4 0613	Mistral Large 2
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	Benchmark not available.	84.0 (5-shot) Source
MMMU A wide ranging multi-discipline and multimodal benchmark.	Benchmark not available.	Benchmark not available.
HellaSwag A challenging sentence completion benchmark.	Benchmark not available.	Benchmark not available.
GSM8K Grade-school math problems benchmark.	Benchmark not available.	Benchmark not available.
HumanEval A benchmark to measure functional correctness for synthesizing programs from docstrings.	Benchmark not available.	Benchmark not available.
MATH Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.	Benchmark not available.	Benchmark not available.