Understand and compare
Mistral 8x7B Instruct
vs.
GPT-3.5 Turbo 16K
Overview
Mistral 8x7B Instruct was released
6 months after
GPT-3.5 Turbo 16K.
Mistral 8x7B Instruct
|
GPT-3.5 Turbo 16K
|
|
|---|---|---|
|
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.
|
2023-12-11
|
2023-06-13
|
Pricing
Mistral 8x7B Instruct is
roughly 4.3x cheaper compared
to GPT-3.5 Turbo 16K for input tokens and
roughly 5.7x cheaper
for output tokens.
|
Mistral 8x7B Instruct
|
GPT-3.5 Turbo 16K
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$0.70
per million tokens
|
$3.00
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$0.70
per million tokens
|
$4.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between Mistral 8x7B Instruct
and GPT-3.5 Turbo 16K.
|
Mistral 8x7B Instruct
|
GPT-3.5 Turbo 16K
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
70.6
(5-shot)
|
Benchmark not available.
|
|
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.
|
Mistral 8x7B Instruct, developed by Mistral, features a context window of 32000 tokens. The model costs 0.07 cents per thousand tokens for both input and output. It was released on December 11, 2023, and achieved a score of 70.6 in the MMLU benchmark in a 5-shot scenario.
GPT-3.5 Turbo 16K, developed by OpenAI, features a context window of 16384 tokens. The model costs 0.3 cents per thousand tokens for input and 0.4 cents per thousand tokens for output. It was released on June 13, 2023.
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