Understand and compare
Claude 3 Haiku
vs.
Llama 3 8B Instruct
Overview
Claude 3 Haiku was released
about 1 month before
Llama 3 8B Instruct.
Claude 3 Haiku
|
Llama 3 8B Instruct
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Anthropic
|
Meta
|
|
Input Context Window
The number of tokens supported by the input context window.
|
200K
tokens
|
8,000
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
4,096
tokens
|
2,048
tokens
|
|
Release Date
When the model was first released.
|
2024-03-13
|
2024-04-18
|
Pricing
|
Claude 3 Haiku
|
Llama 3 8B Instruct
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$0.25
per million tokens
|
Pricing not available.
|
|
Output
Cost of output tokens generated by the model.
|
$1.25
per million tokens
|
Pricing not available.
|
Benchmarks
Compare relevant benchmarks between Claude 3 Haiku
and Llama 3 8B Instruct.
|
Claude 3 Haiku
|
Llama 3 8B Instruct
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
76.7
(5-shot CoT)
|
68.4
(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.
|
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.
Llama 3 8B Instruct, developed by Meta, features a context window of 8000 tokens. The model was released on April 18, 2024, and achieved a score of 68.4 in the MMLU benchmark.
GPT-4 Turbo 1106
Gemini Ultra
Mistral 8x7B Instruct
Measure & Improve LLM
Product Performance.
Get Started
© 2023-2024 Context