@realDonaldTrump Proud of our president & VP for standing up to America against an ungrateful dictator. Ukraine has been killing their own citizens in the eastern provinces since 2007 because of their ethnicity.
@elonmusk Proud of President Trump & VP for putting him in his place. Without the US support Ukraine would have been finished long time ago Zelensky is a dictator who eliminated all his opponents, canceled elections and has been stealing support money
Image input pricing varies orders of magnitudes between models - GPT-4o is ~200X more expensive than Gemini 1.5 Flash 💸
Image input is increasingly relevant as more LLMs are becoming multi-modal and as the AI community explores new ways of using vision input. This is particularly the case for RAG use-cases which require vision capabilities to interpret rich documents.
This week @MistralAI released their Pixtral 12B model which, according to their announcement, performs very well on vision evals. We at Artificial Analysis are to launch our own independent evaluation of vision capabilities shortly.
Models also vary as to the amount of images they accept. Gemini 1.5 Flash can accept >1000 images but LLaVA-v1.5-7B can only accept one image per request.
We will be launch a vision focused page on the Artificial Analysis website shortly. Link to our pricing analysis of vision input below 🔗
Cerebras continues to deliver output speed improvements, breaking the 2,000 tokens/s barrier on Llama 3.1 8B and 550 tokens/s on 70B
Since launching less than a month ago, @cerebras has continued to improve output speed inference performance on their custom chips.
We are now measuring 2,005 output tokens per second on @AIatMeta's Llama 3.1 8B and 566 output tokens per second on Llama 3.1 70B.
Faster output speed supports use-cases which require low-latency interactions including consumer applications (games, chatbots, etc) and new techniques of using the models such as agents and multi-query RAG.
Link to our comparison of Llama 3.1 70B and 8B providers below 👇
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