Understand and compare
Claude 3 Sonnet
vs.
GPT-3.5 Turbo
Overview
Claude 3 Sonnet was released
over 1 year after
GPT-3.5 Turbo.
Claude 3 Sonnet
|
GPT-3.5 Turbo
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Anthropic
|
OpenAI
|
|
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
|
4,096
tokens
|
|
Release Date
When the model was first released.
|
2024-03-04
|
2022-11-28
|
Pricing
Claude 3 Sonnet is
roughly 6.0x more expensive compared
to GPT-3.5 Turbo for input tokens and
roughly 10x more expensive
for output tokens.
|
Claude 3 Sonnet
|
GPT-3.5 Turbo
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$3.00
per million tokens
|
$0.50
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$15.00
per million tokens
|
$1.50
per million tokens
|
Benchmarks
Compare relevant benchmarks between Claude 3 Sonnet
and GPT-3.5 Turbo.
|
Claude 3 Sonnet
|
GPT-3.5 Turbo
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
81.5
(5-shot CoT)
|
70.0
(5-shot)
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
53.1
|
Benchmark not available.
|
|
HellaSwag
A challenging sentence completion benchmark.
|
89.0
(10-shot)
|
85.5
(10-shot)
|
Claude 3 Sonnet, developed by Anthropic, features a context window of 200,000 tokens. The model costs 0.3 cents per thousand tokens for input and 1.5 cents per thousand tokens for output. It was released on March 4, 2024, and has achieved benchmark scores of 53.1 in MMMU, 89.0 in HellaSwag (10-shot), and 81.5 in MMLU (5-shot CoT).
GPT-3.5 Turbo, developed by OpenAI, features a context window of 4096 tokens. It is priced at 0.05 cents per thousand tokens for input and 0.15 cents per thousand tokens for output. The model was released on November 28, 2022, and has achieved high scores in benchmarks like HellaSwag (85.5 in a 10-shot scenario) and MMLU (70.0 in a 5-shot scenario).
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