Understand and compare
Claude 3 Opus
vs.
GPT-4 32K
Overview
Claude 3 Opus was released
12 months after
GPT-4 32K.
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|
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Provider
The entity that provides this model.
|
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Input Context Window
The number of tokens supported by the input context window.
|
200K
tokens
|
32.8K
tokens
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
4,096
tokens
|
Not specified.
|
Release Date
When the model was first released.
|
2024-03-04
|
2023-03-14
|
Pricing
Claude 3 Opus is
roughly 4.0x cheaper compared
to GPT-4 32K for input tokens and
roughly 37.5% cheaper
for output tokens.
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|
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Input
Cost of input data provided to the model.
|
$15.00
per million tokens
|
$60.00
per million tokens
|
Output
Cost of output tokens generated by the model.
|
$75.00
per million tokens
|
$120.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between Claude 3 Opus
and GPT-4 32K.
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|
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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.
|
![](https://with.context.ai/assets/anthropic-80870c3e4c4b59465f693246e7ac24d65d785686adf82cc682d05d7bcb81796d.png)
GPT-4 32K, developed by OpenAI, features a context window of 32768 tokens. The model costs 6.0 cents per thousand tokens for input and 12.0 cents per thousand tokens for output. It was released on March 14, 2023.
![](https://with.context.ai/assets/openai-5e3235388de8d8803af80dc53ea68559e0a4f698ae58b3eb9ea8048515f1bac1.png)
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