Mistral AI vs DeepSeek
Head-to-head adoption data comparison based on real metrics
Data updated daily — latest collection:
VS
🌊
Mistral AI
SDK
GitHub Stars
10,452
Forks
959
Open Issues
159
Description
Client library for Mistral AI models and API
🌌
DeepSeek
SDK
Description
Open-source AI models and API for code and reasoning tasks
Side-by-Side Metrics
| Metric | Mistral AI | DeepSeek |
|---|---|---|
| GitHub Stars | 10,452 Leader | 0 |
| GitHub Forks | 959 Leader | 0 |
| Open Issues | 159 Leader | 0 |
| Community Mentions | 0 | 0 |
Benchmark Scores
| Benchmark | Mistral AI | DeepSeek |
|---|---|---|
| BigCodeBench (complete) | 23.5 | 46.6 Winner |
| AgentBench | N/A | 49.3 |
| LiveCodeBench | N/A | 27.2 |
Summary
DeepSeek leads in benchmark performance (winning 1 of 1 shared benchmarks).
About This Data
This comparison uses real adoption metrics collected daily from NPM, PyPI, GitHub, benchmark leaderboards, and pricing data sources. Download counts reflect cumulative totals and weekly/monthly snapshots from the most recent scraper run. All data is publicly verifiable.
Latest data collection: (scrapers run daily)
Sources: NPM Registry API, PyPI API, GitHub API, SWE-bench, Official Pricing Pages