Compare Mistral Large vs. GPT-3.5 Turbo 1106

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Overview

Mistral Large was released 4 months after GPT-3.5 Turbo 1106.

	Mistral Large	GPT-3.5 Turbo 1106
Provider The entity that provides this model.	Mistral	OpenAI
Input Context Window The number of tokens supported by the input context window.	32K tokens	16.4K tokens
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	4,096 tokens	16.4K tokens
Release Date When the model was first released.	February 26th, 2024 10 months ago 2024-02-26	November 6th, 2023 about 1 year ago 2023-11-06
Knowledge Cutoff Limit on the knowledge base used by the model.	Unknown	September 2021 September 2021
Open Source	Yes	No
API Providers The providers that offer this model. (This is not an exhaustive list.)	Azure AI, AWS Bedrock, Google Cloud Vertex AI Model Garden, Snowflake Cortex	OpenAI

Pricing

Mistral Large is roughly 8.0x more expensive compared to GPT-3.5 Turbo 1106 for input tokens and roughly 4.0x more expensive for output tokens.

	Mistral Large	GPT-3.5 Turbo 1106
Input Cost of input data provided to the model.	$8.00 per million tokens	$1.00 per million tokens
Output Cost of output tokens generated by the model.	$8.00 per million tokens	$2.00 per million tokens

Benchmarks

Compare relevant benchmarks between Mistral Large and GPT-3.5 Turbo 1106.

	Mistral Large	GPT-3.5 Turbo 1106
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	81.2 (5-shot) Source	Benchmark not available.
MMMU A wide ranging multi-discipline and multimodal benchmark.	Benchmark not available.	Benchmark not available.
HellaSwag A challenging sentence completion benchmark.	89.2 (10-shot) Source	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.

Mistral Large, developed by Mistral, features a context window of 32000 tokens. The model is priced at 0.8 cents per thousand tokens for both input and output. It was released on February 26, 2024, and has achieved impressive scores in benchmarks like MMLU (81.2 in a 5-shot scenario) and HellaSwag (89.2 in a 10-shot scenario).

GPT-3.5 Turbo 1106, developed by OpenAI, features a context window of 16385 tokens. The model costs 0.1 cents per thousand tokens for input and 0.2 cents per thousand tokens for output. It was released on November 6, 2023.

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