Understand and compare
GPT-4 Turbo 2024-04-09
vs.
Claude 3 Haiku
Overview
GPT-4 Turbo 2024-04-09 was released
27 days after
Claude 3 Haiku.
GPT-4 Turbo 2024-04-09
|
Claude 3 Haiku
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
OpenAI
|
Anthropic
|
|
Input Context Window
The number of tokens supported by the input context window.
|
128K
tokens
|
200K
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.
|
2024-04-09
|
2024-03-13
|
Pricing
GPT-4 Turbo 2024-04-09 is
roughly 40x more expensive compared
to Claude 3 Haiku for input tokens and
roughly 24x more expensive
for output tokens.
|
GPT-4 Turbo 2024-04-09
|
Claude 3 Haiku
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$10.00
per million tokens
|
$0.25
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$30.00
per million tokens
|
$1.25
per million tokens
|
Benchmarks
Compare relevant benchmarks between GPT-4 Turbo 2024-04-09
and Claude 3 Haiku.
|
GPT-4 Turbo 2024-04-09
|
Claude 3 Haiku
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
Benchmark not available.
|
76.7
(5-shot CoT)
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
50.2
|
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
85.9
(10-shot)
|
GPT-4 Turbo 2024-04-09, developed by OpenAI, features an impressive 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 April 9, 2024.
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.
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