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How Mixture of Experts Works: Mistral Large 4, 1T Total, 52B Active Analytics Table
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Mistral Large 4 has about a trillion parameters. Each token uses about 52 billion. Follow one coding request through a mixture of experts to see what the two numbers mean for compute, memory and running the model. 00:00 A trillion parameters, 52 billion active 00:10 Mistral Large 4 (Le Chonk) 00:28 How a mixture of experts routes tokens 01:04 One coding request, token by token 01:20 Compute follows the active part 01:46 Memory holds the whole model 02:08 The trade-off 02:30 Price and access 02:51 What Mistral built it for 03:14 Trained and served in Europe 03:37 What's still missing, and the number Mistral changed 04:03 How to read the two numbers Figures come from Mistral. Its launch post originally said 49 billion active parameters. On October 7 it changed that to 52 billion, matching its documentation. The docs give 1.05 trillion total parameters. The router drawing uses Mixtral's published design as an example. Mistral has not published Large 4's routing details. Memory figures cover the weights at 8 and 4 bits; running the model also needs memory for other work. The preview API is available. Mistral plans to release the weights by the end of October. API list prices are $1.36 per million input tokens and $4.18 per million output tokens. At release, the docs show sale prices of $0.68 and $2.09. Check the current pricing before use. Sources: Mistral Large 4 announcement: https://mistral.ai/news/mistral-large-4/ Mistral Large 4 docs: https://docs.mistral.ai/models/mistral-large-4 Mixtral announcement (router example): https://mistral.ai/news/mixtral-of-experts/ NVIDIA H100 specifications: https://www.nvidia.com/en-us/data-center/h100/ Imaigen Code explains the technology behind AI developments. #MistralAI #MistralLarge4 #MixtureOfExperts
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