Understand and compare
Gemini Ultra
vs.
Llama 2 Chat 70B
Overview
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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.
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32.8K
characters
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4,096
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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8,192
characters
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2,048
tokens
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Release Date
When the model was first released.
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Unknown
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2023-07-18
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Pricing
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Input
Cost of input data provided to the model.
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Pricing not available.
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Pricing not available.
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Output
Cost of output tokens generated by the model.
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Pricing not available.
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Pricing not available.
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Benchmarks
Compare relevant benchmarks between Gemini Ultra
and Llama 2 Chat 70B.
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MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
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83.7
(5-shot)
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68.9
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MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
59.4
(0-shot pass@1)
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30.1
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HellaSwag
A challenging sentence completion benchmark.
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Benchmark not available.
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Benchmark not available.
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![](https://with.context.ai/assets/google-c8f988d7a45b564da5965132d7479ae30327702e3e9fbc3df8f03c2842e0834e.png)
Llama 2 Chat 70B, developed by Meta, features a context window of 4096 tokens. The model was released on July 18, 2023, and has achieved a score of 30.1 in the MMMU benchmark and 68.9 in the MMLU benchmark.
![](https://with.context.ai/assets/meta-b0d3356199f47d298a09385682430689ec6f3da855e3be6d323d4f11b7283d6b.png)
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