Cheaper GPT-4 rival that supports 32K-token context windows
Mistral Large has top-tier reasoning capacities, is multi-lingual by design, has native function calling capacities and a 32k model. The pre-trained model has 81.2% accuracy on MMLU.
“Cheaper GPT-4 rival that supports 32K-token context windows”
Mistral Large launched on Product Hunt on February 27th, 2024 and earned 269 upvotes and 9 comments, placing #11 on the daily leaderboard. Mistral Large has top-tier reasoning capacities, is multi-lingual by design, has native function calling capacities and a 32k model. The pre-trained model has 81.2% accuracy on MMLU.
On the analytics side, Mistral Large competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Mistral Large performed against the three products that launched closest to it on the same day.
Who hunted Mistral Large?
Mistral Large was hunted by Chris Messina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Chris Messina
