Understand and compare
Mistral Large
vs.
Claude Instant 1.2
Overview
Mistral Large was released
7 months after
Claude Instant 1.2.
Mistral Large
|
Claude Instant 1.2
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
Mistral
|
Anthropic
|
|
Input Context Window
The number of tokens supported by the input context window.
|
32K
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.
|
2024-02-26
|
2023-08-09
|
Pricing
Mistral Large is
roughly 10x more expensive compared
to Claude Instant 1.2 for input tokens and
roughly 3.3x more expensive
for output tokens.
|
Mistral Large
|
Claude Instant 1.2
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$8.00
per million tokens
|
$0.80
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$8.00
per million tokens
|
$2.40
per million tokens
|
Benchmarks
Compare relevant benchmarks between Mistral Large
and Claude Instant 1.2.
|
Mistral Large
|
Claude Instant 1.2
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
81.2
(5-shot)
|
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.
|
89.2
(10-shot)
|
Benchmark not available.
|
Mistral Large, developed by Mistral, features a context window of 32000 tokens. The model is priced at 0.8 cents per thousand tokens for both input and output. It was released on February 26, 2024, and has achieved impressive scores in benchmarks like MMLU (81.2 in a 5-shot scenario) and HellaSwag (89.2 in a 10-shot scenario).
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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