Mistral 3 includes three state-of-the-art small, dense models (14B, 8B, and 3B) and Mistral Large 3 – our most capable model to date – a sparse mixture-of-experts trained with 41B active and 675B total parameters. All models are released under the Apache 2.0 license. The Ministral models represent the best performance-to-cost ratio in their category. At the same time, Mistral Large 3 joins the ranks of frontier instruction-fine-tuned open-source models.
Im really impressed with GPT OSS 120B in Antigravity. Its suppose to be level with gpt5 etc. And its possible to run on mac studio, with the highest specs etc. So future look good for local Agentic LLM's. would love to compare this to the GPT OSS model. A local cursor IDE would be huge. Its kind of sad that coding is pay to play at the moment. I spend 100$ a day in coding. It's wild.
Wow it sounds amazing! Congrats on the launch. Just for curiosity, who is your target market?
Which industries or applications do you think will benefit most from these open models?
Impressive launch—especially how Mistral 7B pushes the boundaries of open models while remaining lightweight and efficient.
From a clarity & onboarding lens: when a dev or product team opens Mistral 7B for the first time, what’s the single belief you want them to adopt in the first 10-15 seconds? • “I can deploy a best-in-class model without massive compute or bespoke infrastructure.” Or: • “This open model gives me enterprise-grade performance with full control.” Because with foundational models, the biggest barrier isn’t parameters—it’s belief. Curious how you’re framing that for first-time users and what the “aha moment” looks like in your product journey.
I personally tried Mistral 3 Large when it came out yesterday and think it's a good model in terms of multilanguage and multimodality (as even the smaller models with less params can run purely in browser and confidently detect objects correctly - so kudos for that). But the Mistral 3 Large itself still seems to need a bit more power as in my own evaluations it still lags a bit behind the new deepseek 3.2 in logical thinking, coding and math tasks. But yeah, for users in european countries needing a multilingual assistant it's still the best in that scenario
About Mistral 3 on Product Hunt
“A family of frontier open-source multimodal models”
Mistral 3 launched on Product Hunt on December 3rd, 2025 and earned 423 upvotes and 5 comments, earning #2 Product of the Day. Mistral 3 includes three state-of-the-art small, dense models (14B, 8B, and 3B) and Mistral Large 3 – our most capable model to date – a sparse mixture-of-experts trained with 41B active and 675B total parameters. All models are released under the Apache 2.0 license. The Ministral models represent the best performance-to-cost ratio in their category. At the same time, Mistral Large 3 joins the ranks of frontier instruction-fine-tuned open-source models.
Mistral 3 was featured in Android (57.1k followers), Open Source (68.3k followers) and Artificial Intelligence (466.2k followers) on Product Hunt. Together, these topics include over 136.7k products, making this a competitive space to launch in.
Who hunted Mistral 3?
Mistral 3 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.
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Chris Messina
Which industries or types of work do you think will get the most help from these open models?