vLLM vs Together AI
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
| VLL vLLM High-throughput LLM inference and serving engine with an OpenAI-compat... Visit |
Together AI
High-performance inference for open-weights LLMs
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| RECATOOLS Score | 8.5 / 10 | 8 / 10 |
| Capability | — | |
| Value for money | — | |
| Ease of use | — | |
| ASEAN readiness | — | |
| API quality | — | |
| Pricing | Free | Usage_based |
| 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 | Not offered as a plan — one model (Ternary Bonsai 27B) is listed at $0.00 per 1M tokens |
| Paid from | — | Per 1M tokens by model — e.g. DeepSeek V4 Flash 0731 $0.14 in / $0.28 out |
| Has API | ✓ | ✓ |
| Open source | ✓ | ✗ |
| Free to use | ✓ | ✗ |
| Users | — | — |
| Founded | — | 2022 |
| Maker | — | — |
| Verdict | 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... |
Together AI is a developer-focused cloud for running, fine-tuning, and training open-source models (Llama, DeepSeek, Qwen, Flux, and many more) with an OpenAI-compatible API, competitive pricing, and strong inference per... |
| 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.