← Back to Leaderboard
Project comparison
Kimi K3 In C vs vllm
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Kimi K3 In C
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
Best matched with other inference tools.
7.2K
Stars
+282
Weekly
67/100
Health
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Best matched with other inference tools.
91.1K
Stars
+606
Weekly
86/100
Health
Quick Take
Adoption
vllm has the larger GitHub footprint with 91.1K stars.
Momentum
vllm is currently growing faster at +606 stars this week.
Maintenance
vllm has the stronger automated maintenance signal at 86/100. This is not a security or fit verdict.
Side-by-side evidence
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Kimi K3 In C | vllm |
|---|---|---|
| Evidence status | Basic listing· 16h ago | Recently verified· 16h ago |
| GitHub stars | 7.2K | 91.1K |
| Weekly growth | +282 | +606 |
| Health score | Healthy67/100 |
Weekly AI open-source movers
Get the fastest-growing projects, useful MCP servers, and technical reads in one weekly email.