Understand and compare
Claude 2
vs.
GPT-3.5 Turbo 16K
Try
Podial
Turn your documents into engaging podcast discussions.
Overview
Claude 2 was released
28 days after
GPT-3.5 Turbo 16K.
Claude 2
|
GPT-3.5 Turbo 16K
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Anthropic
|
OpenAI
|
|
Input Context Window
The number of tokens supported by the input context window.
|
100K
tokens
|
16.4K
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
Not specified.
|
16.4K
tokens
|
|
Release Date
When the model was first released.
|
2023-07-11
|
2023-06-13
|
|
Knowledge Cutoff
Limit on the knowledge base used by the model.
|
Early 2023
|
Unknown
|
|
Open Source
|
|
|
|
API Providers
The providers that offer this model. (This is not an exhaustive list.)
|
|
|
Pricing
Claude 2 is
roughly 2.7x more expensive compared
to GPT-3.5 Turbo 16K for input tokens and
roughly 6.0x more expensive
for output tokens.
|
Claude 2
|
GPT-3.5 Turbo 16K
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$8.00
per million tokens
|
$3.00
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$24.00
per million tokens
|
$4.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between Claude 2
and GPT-3.5 Turbo 16K.
|
Claude 2
|
GPT-3.5 Turbo 16K
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
78.5
(5-shot)
|
Benchmark not available.
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
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.
|
Claude 2, developed by Anthropic, features a large context window of 100,000 tokens. The model costs 0.8 cents per thousand tokens for input and 2.4 cents per thousand tokens for output. It was released on July 11, 2023, and has shown strong performance in the MMLU benchmark with a score of 78.5 in a 5-shot scenario.
GPT-3.5 Turbo 16K, developed by OpenAI, features a context window of 16384 tokens. The model costs 0.3 cents per thousand tokens for input and 0.4 cents per thousand tokens for output. It was released on June 13, 2023.
Chat Bison
Mistral 8x7B Instruct
Measure & Improve LLM
Product Performance.
Get Started
© 2023-2024 Context