Understand and compare
Claude 3 Haiku
vs.
Mistral 8x7B Instruct
Overview
Claude 3 Haiku was released
3 months after
Mistral 8x7B Instruct.
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Provider
The entity that provides this model.
|
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Input Context Window
The number of tokens supported by the input context window.
|
200K
tokens
|
32K
tokens
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
4,096
tokens
|
4,096
tokens
|
Release Date
When the model was first released.
|
2024-03-13
|
2023-12-11
|
Pricing
Claude 3 Haiku is
roughly 2.8x cheaper compared
to Mistral 8x7B Instruct for input tokens and
roughly 78.6% more expensive
for output tokens.
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Input
Cost of input data provided to the model.
|
$0.25
per million tokens
|
$0.70
per million tokens
|
Output
Cost of output tokens generated by the model.
|
$1.25
per million tokens
|
$0.70
per million tokens
|
Benchmarks
Compare relevant benchmarks between Claude 3 Haiku
and Mistral 8x7B Instruct.
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|
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MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
76.7
(5-shot CoT)
|
70.6
(5-shot)
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
50.2
|
Benchmark not available.
|
HellaSwag
A challenging sentence completion benchmark.
|
85.9
(10-shot)
|
Benchmark not available.
|
![](https://with.context.ai/assets/anthropic-80870c3e4c4b59465f693246e7ac24d65d785686adf82cc682d05d7bcb81796d.png)
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.
![](https://with.context.ai/assets/mistral-9e9f2d79ccfc3f09ad90b1a79c4072f3ce8345e5582acb227da152e6db07b217.png)
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