Understand and compare
Claude 3 Haiku
vs.
Mistral Large 2
Overview
Claude 3 Haiku was released
4 months before
Mistral Large 2.
![]() |
![]() |
|
---|---|---|
Provider
The entity that provides this model.
|
![]() |
![]() |
Input Context Window
The number of tokens supported by the input context window.
|
200K
tokens
|
128K
tokens
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
4,096
tokens
|
8,192
tokens
|
Release Date
When the model was first released.
|
2024-03-13
|
2024-07-24
|
Knowledge Cutoff
Limit on the knowledge base used by the model.
|
August 2023
|
Unknown
|
Open Source
|
|
|
API Providers
The providers that offer this model. (This is not an exhaustive list.)
|
|
|
Pricing
Claude 3 Haiku is
roughly 12x cheaper compared
to Mistral Large 2 for input tokens and
roughly 7.2x cheaper
for output tokens.
![]() |
![]() |
|
---|---|---|
Input
Cost of input data provided to the model.
|
$0.25
per million tokens
|
$3.00
per million tokens
|
Output
Cost of output tokens generated by the model.
|
$1.25
per million tokens
|
$9.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between Claude 3 Haiku
and Mistral Large 2.
![]() |
![]() |
|
---|---|---|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
76.7
(5-shot CoT)
|
84.0
(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.
|
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.
|
Measure & Improve LLM
Product Performance.
Get Started