Strongest current signal
Package downloads
44.1M/30d
Across npm and PyPI
▲ +31%
French AI lab building open-weight foundation models.
Best current coverage: 44.1M downloads/30d, 810 dependents, and 1 contributors.
Lead signals
Package pull and public code usage both show up clearly for Mistral AI.
Strongest current signal
44.1M/30d
Across npm and PyPI
810
Known dependents across npm and PyPI
10.8K
Main repository stars
225/30d
Ranked #4 in category discussion
Research Brief
No recent Research Brief centers Mistral AI yet. Start with the latest market reporting, then return here for the stored company signals on this page.
Browse Research Briefs →Reading
package pull and downstream usage are the clearest current signals for Mistral AI.
Package pull
44.1M/30d
Tracked package pull across npm and PyPI
Downstream usage
810
Known dependent packages across both registries
Engineering activity
1
GitHub contributors active in the last 30 days
GitHub attention
10.8K
Main repository stars
Coverage includes npm and PyPI registries, GitHub, developer discussion, distribution surfaces, and recent company news where available. As of April 14, 2026. Methodology
Sustainability and maintenance signals from the primary public repository.
Background and reference details
background, categories, funding, and tools stay collapsed until you need them.
Mistral AI builds powerful open-weight models. Mixtral 8x7B rivals GPT-3.5. Founded by ex-DeepMind and Meta researchers. Raised $415M Series A at $2B valuation.
Raised $3.2B total - DAI rank #18 (top 7%) suggests strong developer adoption relative to funding.
Andreessen Horowitz, Lightspeed Venture Partners
Andreessen Horowitz
Lightspeed Venture Partners
0 npm · 530K PyPI(50% of company total)
French AI lab building open-weight foundation models.
0 npm · 530K PyPI(50% of company total)
Access to Mistral AI's most advanced large language model for complex tasks.
A conversational AI assistant powered by Mistral AI's models, available in beta.
Access to Mistral AI's optimized model for high-performance and low-latency applications.
Access to Mistral AI's popular sparse mixture-of-experts model, known for its efficiency and capabilities.
Public pricing snapshots collected for Mistral AI
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Historical metrics for Mistral AI
Mistral AI: npm Downloads down 49% (1.9M to 975.6K). GitHub Stars up 1% (10.7K to 10.8K).
| Date | npm Downloads | PyPI Downloads | GitHub Stars |
|---|---|---|---|
| Mar 16, 2026 | 1.9M | - | 10.7K |
| Mar 22, 2026 | - | 3.6M | - |
| Mar 23, 2026 | 1.8M | - | 10.7K |
| Mar 29, 2026 | - | 4.4M | - |
| Mar 30, 2026 | 1.9M | - | 10.7K |
| Apr 5, 2026 | - | 5.0M | - |
| Apr 6, 2026 | 1.7M | - | 10.8K |
| Apr 12, 2026 | - | 3.7M | - |
| Apr 13, 2026 | 975.6K | 530.3K | 10.8K |
| Apr 14, 2026 | 0 | - | 10.8K |