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If anyone from the Mistral team is here, I just signed up for an account and went to subscribe; after the Stripe payment form, I was redirected to stripe.com - not back to Mistral's dashboard. After I went through the subscribe flow again it says "You have successfully subscribed to Mistral AI's API. Welcome! Your API keys will be activated in a few minutes." instead of sending me to Stripe, so everything is working…
Pricing input: $8/1M tokens output: $24/1M tokens https://docs.mistral.ai/platform/pricing/
Compared to GPT4, which is $10/$30 for turbo and $30/$60 for the flagship https://openai.com/pricing
There are some (few) valid reasons to use base gpt4 model, but that doesn't make it the flagship by any means.
pipx install llm
llm install llm-mistral
llm keys set mistral
llm -m mistral-large 'prompt goes here'Looks like open-source is just a marketing tool for AI companies before they have a good enough model to sell. I guess we have to look for what Meta is going to do with LlaMA 3.
How is this a problem? So many companies have been founded around premium versions of open-source products. It's good that they've even given us as much as they have. They have to make the economics work somehow.
IMO, it is just a new version of wage/code theft with a “public good” side-story to convince the gullible that it is somehow “better” and “fair”, when everyone involved were making money, just not as much money as they could be taking with a little bit of court-supported code theft and a hand-waive of “volunteerism”.
EDIT: Actually, I tried to download it and convert to a PNG and it's still a white image. So it might not be on my end.
I just added support for the new models to my https://github.com/simonw/llm-mistral plugin for my LLM CLI tool. You can now do this: pipx install llm llm install llm-mistral llm keys set mistral llm -m mistral-large 'prompt goes here'
Earlier quoted context omitted.
Open source means "the preferred version for modification" and this fits with model weights since you can fine tune them with your own data. Modifying raw training data would be quite unwieldly and pointless.
It's possible to modify binary executables; doesn't make them open-source.
I appreciate the honesty in the marketing materials. Showing the product scoring below the market leader in a big benchmark is better than the Google way of cherry picking benchmarks.
Seems intentionally misleading.
Im not sure if anyone cares about my opinion, but I think its worth mentioning that of all the models, Mixtral is IMO the best, and I do not know what Id do without it. Fantastic news, thank you.
I still sometimes need to double-check its answers and be critical of its responses. But when I want to confirm the answer I suspect, or know the gist of it but want more details, I find it invaluable.
It seems especially really strong in areas of science and computing. However, it consistently gives plausible but incorrect information when asked about Swedish art and culture. Though it does speak really good Swedish!