Understand and compare
Claude Instant 1.2
vs.
Claude 3 Haiku
Overview
Claude Instant 1.2 was released
7 months before
Claude 3 Haiku.
Claude Instant 1.2
|
Claude 3 Haiku
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Anthropic
|
Anthropic
|
|
Input Context Window
The number of tokens supported by the input context window.
|
100K
tokens
|
200K
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
Not specified.
|
4,096
tokens
|
|
Release Date
When the model was first released.
|
2023-08-09
|
2024-03-13
|
Pricing
Claude Instant 1.2 is
roughly 3.2x more expensive compared
to Claude 3 Haiku for input tokens and
roughly 92.0% more expensive
for output tokens.
|
Claude Instant 1.2
|
Claude 3 Haiku
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$0.80
per million tokens
|
$0.25
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$2.40
per million tokens
|
$1.25
per million tokens
|
Benchmarks
Compare relevant benchmarks between Claude Instant 1.2
and Claude 3 Haiku.
|
Claude Instant 1.2
|
Claude 3 Haiku
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
73.4
(5-shot)
|
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)
|
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.
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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