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) | 27.3 | 29.6 Winner |
| AgentBench | N/A | 36.1 |
| LiveCodeBench | N/A | 73.1 |
Summary
DeepSeek leads in benchmark performance (winning 1 of 1 shared benchmarks).
Historical Comparison
See how this comparison has changed over the last 30, 60, and 90 days with download and star trends plotted over time.
Unlock with Professional PlanAbout 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