Baseten vs vLLM
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Baseten
Production model serving that hit $600M ARR in 2026.
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VLL vLLM High-throughput LLM inference and serving engine with an OpenAI-compat... Visit | |
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| RECATOOLS Score | 7.4 / 10 | 8.5 / 10 |
| Capability | — | |
| Value for money | — | |
| Ease of use | — | |
| ASEAN readiness | — | |
| API quality | — | |
| Pricing | Paid | Free |
| Free tier | — | Everything — Apache-2.0 code on GitHub and PyPI, official container images and docs; the project is hosted by the PyTorch Foundation and has no hosted or paid product of its own |
| Paid from | — | — |
| Has API | ✓ | ✓ |
| Open source | ✗ | ✓ |
| Free to use | ✗ | ✓ |
| Users | — | — |
| Founded | — | — |
| Maker | — | — |
| Verdict | This is infrastructure for teams that have models and engineers to run them, not a point-and-click app. Truss, Baseten's open-source framework, turns a Hugging Face or custom model into an autoscaling HTTPS endpoint and... |
vLLM is for serving large language models at production throughput on hardware you control. Its PagedAttention algorithm manages the KV cache like paged virtual memory. Continuous batching keeps the GPU busy across concu... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.