Understand and compare
GPT-3.5 Turbo 0125
vs.
Claude Instant 1.2
Overview
GPT-3.5 Turbo 0125 was released
6 months after
Claude Instant 1.2.
GPT-3.5 Turbo 0125
|
Claude Instant 1.2
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
OpenAI
|
Anthropic
|
|
Input Context Window
The number of tokens supported by the input context window.
|
16.4K
tokens
|
100K
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.
|
2024-01-25
|
2023-08-09
|
Pricing
GPT-3.5 Turbo 0125 is
roughly 37.5% cheaper compared
to Claude Instant 1.2 for input and output tokens.
|
GPT-3.5 Turbo 0125
|
Claude Instant 1.2
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$0.50
per million tokens
|
$0.80
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$1.50
per million tokens
|
$2.40
per million tokens
|
Benchmarks
Compare relevant benchmarks between GPT-3.5 Turbo 0125
and Claude Instant 1.2.
|
GPT-3.5 Turbo 0125
|
Claude Instant 1.2
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
Benchmark not available.
|
73.4
(5-shot)
|
|
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.
|
GPT-3.5 Turbo 0125, developed by OpenAI, features a context window of 16385 tokens. The model costs 0.05 cents per thousand tokens for input and 0.15 cents per thousand tokens for output. It was released on January 25, 2024.
Claude Instant 1.2, created by Anthropic, features a context window of 100,000 tokens. The model is priced at 0.8 cents per thousand tokens for input and 2.4 cents per thousand tokens for output. It was launched on August 9, 2023, and has shown strong performance in the MMLU benchmark with a score of 73.4 in a 5-shot scenario.
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