Compare Gemini Flash vs. Llama 2 Chat 13B

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Overview

Gemini Flash was released 10 months after Llama 2 Chat 13B.

	Gemini Flash	Llama 2 Chat 13B
Provider The entity that provides this model.	Google	Meta
Input Context Window The number of tokens supported by the input context window.	1M tokens	4,096 tokens
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	8,192 tokens	2,048 tokens
Release Date When the model was first released.	May 14th, 2024 7 months ago 2024-05-14	July 18th, 2023 over 1 year ago 2023-07-18
Knowledge Cutoff Limit on the knowledge base used by the model.	November 2023 November 2023	September 2022 September 2022
Open Source	No	Yes
API Providers The providers that offer this model. (This is not an exhaustive list.)	Google Cloud Vertex AI Model Garden	Azure AI, AWS Bedrock, Google Cloud Vertex AI Model Garden, NVIDIA NIM, IBM watsonx

Pricing

	Gemini Flash	Llama 2 Chat 13B
Input Cost of input data provided to the model.	$0.13 per million tokens	Pricing not available.
Output Cost of output tokens generated by the model.	$0.38 per million tokens	Pricing not available.

Benchmarks

Compare relevant benchmarks between Gemini Flash and Llama 2 Chat 13B.

	Gemini Flash	Llama 2 Chat 13B
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	78.9 (5-shot) Source	54.8 Source
MMMU A wide ranging multi-discipline and multimodal benchmark.	56.1 (0-shot pass@1) Source	Benchmark not available.
HellaSwag A challenging sentence completion benchmark.	86.5 (10-shot) Source	80.7 (10-shot) Source
GSM8K Grade-school math problems benchmark.	86.2 (11-shot) Source	28.7 (8-shot) Source
HumanEval A benchmark to measure functional correctness for synthesizing programs from docstrings.	74.3 (0-shot) Source	18.3 (0-shot) Source
MATH Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.	54.9 (4-shot Minerva Prompt) Source	Benchmark not available.

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