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).
Overview
Mistral Large
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Provider
The entity that provides this model.
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Mistral
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Input Context Window
The number of tokens supported by the input context window.
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32K
tokens
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Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
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4,096
tokens
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Open Source
Whether the model's code is available for public use.
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Yes
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Release Date
When the model was first released.
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2024-02-26
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Knowledge Cut-off Date
When the model's knowledge was last updated.
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Unknown
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API Providers
The providers that offer this model. (This is not an exhaustive list.)
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Empirical Throughput
The number of tokens the model can generate per second.
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Pricing
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Mistral Large
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Input
Cost of input data provided to the model.
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$8.00
per million tokens
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Output
Cost of output tokens generated by the model.
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$8.00
per million tokens
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Benchmarks
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Mistral Large
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MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
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81.2
(5-shot)
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MMMU
A wide ranging multi-discipline and multimodal benchmark.
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Benchmark not available.
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HellaSwag
A challenging sentence completion benchmark.
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89.2
(10-shot)
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HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
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Benchmark not available.
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MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
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Benchmark not available.
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