Understand and compare
Claude 3 Opus
vs.
GPT-4 Turbo
Overview
Claude 3 Opus was released
4 months after
GPT-4 Turbo.
Claude 3 Opus
|
GPT-4 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
|
128K
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
|
2023-11-06
|
Pricing
Claude 3 Opus is
roughly 50.0% more expensive compared
to GPT-4 Turbo for input tokens and
roughly 2.5x more expensive
for output tokens.
Claude 3 Opus
|
GPT-4 Turbo
|
|
---|---|---|
Input
Cost of input data provided to the model.
|
$15.00
per million tokens
|
$10.00
per million tokens
|
Output
Cost of output tokens generated by the model.
|
$75.00
per million tokens
|
$30.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between Claude 3 Opus
and GPT-4 Turbo.
Claude 3 Opus
|
GPT-4 Turbo
|
|
---|---|---|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
88.2
(5-shot CoT)
|
Benchmark not available.
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
59.4
|
Benchmark not available.
|
HellaSwag
A challenging sentence completion benchmark.
|
95.4
(10-shot)
|
Benchmark not available.
|
Claude 3 Opus, developed by Anthropic, features a context window of 200,000 tokens. The model costs 1.5 cents per thousand tokens for input and 7.5 cents per thousand tokens for output. It was released on March 4, 2024, and has achieved impressive scores in benchmarks like HellaSwag with a score of 95.4 in a 10-shot scenario, MMLU with a score of 88.2 in a 5-shot CoT scenario, and MMMU with a score of 59.4.
GPT-4 Turbo, developed by OpenAI, features a large context window of 128,000 tokens. The model costs 1.0 cent per thousand tokens for input and 3.0 cents per thousand tokens for output. It is set to be released on November 6, 2023.
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