Understand and compare
Mistral 8x7B Instruct
vs.
Claude 3 Haiku
Overview
Mistral 8x7B Instruct was released
3 months before
Claude 3 Haiku.
Mistral 8x7B Instruct
|
Claude 3 Haiku
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Mistral
|
Anthropic
|
|
Input Context Window
The number of tokens supported by the input context window.
|
32K
tokens
|
200K
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.
|
2023-12-11
|
2024-03-13
|
Pricing
Mistral 8x7B Instruct is
roughly 2.8x more expensive compared
to Claude 3 Haiku for input tokens and
roughly 44.0% cheaper
for output tokens.
|
Mistral 8x7B Instruct
|
Claude 3 Haiku
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$0.70
per million tokens
|
$0.25
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$0.70
per million tokens
|
$1.25
per million tokens
|
Benchmarks
Compare relevant benchmarks between Mistral 8x7B Instruct
and Claude 3 Haiku.
|
Mistral 8x7B Instruct
|
Claude 3 Haiku
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
70.6
(5-shot)
|
76.7
(5-shot CoT)
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
50.2
|
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
85.9
(10-shot)
|
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.
Claude 3 Haiku, developed by Anthropic, features a context window of 200,000 tokens. The model costs 0.025 cents per thousand tokens for input and 0.125 cents per thousand tokens for output. It was released on March 13, 2024. In benchmarks, it achieved a score of 50.2 in MMMU, 85.9 in HellaSwag in a 10-shot scenario, and 76.7 in MMLU in a 5-shot CoT scenario.
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