Understand and compare
Claude 3 Haiku
vs.
Llama 2 Chat 70B
Try
Podial
Turn your documents into engaging podcast discussions.
Overview
Claude 3 Haiku was released
8 months after
Llama 2 Chat 70B.
Claude 3 Haiku
|
Llama 2 Chat 70B
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Anthropic
|
Meta
|
|
Input Context Window
The number of tokens supported by the input context window.
|
200K
tokens
|
4,096
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
|
2023-07-18
|
|
Knowledge Cutoff
Limit on the knowledge base used by the model.
|
August 2023
|
September 2022
|
|
Open Source
|
|
|
|
API Providers
The providers that offer this model. (This is not an exhaustive list.)
|
|
|
Pricing
|
Claude 3 Haiku
|
Llama 2 Chat 70B
|
|
|---|---|---|
|
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 2 Chat 70B.
|
Claude 3 Haiku
|
Llama 2 Chat 70B
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
76.7
(5-shot CoT)
|
68.9
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
50.2
|
30.1
|
|
HellaSwag
A challenging sentence completion benchmark.
|
85.9
(10-shot)
|
85.3
(0-shot)
|
|
GSM8K
Grade-school math problems benchmark.
|
Benchmark not available.
|
56.8
(8-shot)
|
|
HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
|
Benchmark not available.
|
29.9
(0-shot)
|
|
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
|
Benchmark not available.
|
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 2 Chat 70B, developed by Meta, features a context window of 4096 tokens. The model was released on July 18, 2023, and has achieved a score of 30.1 in the MMMU benchmark and 68.9 in the MMLU benchmark.
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