# ReOpenly vs vLLM

| Attribute | ReOpenly | vLLM |
|---|---|---|
| **vioscaleAI score** | 65.5 (40% (low)) | 63.5 (58% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 5 |
| adoption.github_stars | - | 93,797 |
| adoption.package_downloads_weekly | - | 463,948 |
| content.faq | `[{"answer":"ReOpenly is an end-to-end platform that handles the infrastructure and training pipeline for fine-tuning open-source models on your dataset, then serving them via hosted API or downloading the weights for self-deployment. Smaller models tuned to specific tasks achieve comparable accuracy to large generalist models at significantly lower cost. It is indexed under MLOps & LLMOps Tools.","source":"https://reopenly.com/pt/pricing/","question":"What is ReOpenly?","confidence":0.6},{"answer":"ReOpenly offers a free tier, so you can start without paying. Paid plans start at $0.03 per GPU per minute. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.","source":"https://reopenly.com/pt/pricing/","question":"Is ReOpenly free?","confidence":0.6},{"answer":"We have confirmed browser-based access to ReOpenly. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.","source":"https://reopenly.com/pt/pricing/","question":"What platforms does ReOpenly support?","confidence":0.6},{"answer":"We have only confirmed a cloud / SaaS deployment for ReOpenly, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.","source":"https://reopenly.com/pt/pricing/","question":"Can ReOpenly be self-hosted?","confidence":0.6},{"answer":"We have confirmed 3 integrations for ReOpenly, including LangChain, n8n and OpenAI. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://reopenly.com/pt/pricing/","question":"What does ReOpenly integrate with?","confidence":0.6},{"answer":"ReOpenly is available worldwide. Its primary market is Brazil. The vendor is headquartered in Brazil.","source":"https://reopenly.com/pt/pricing/","question":"Where is ReOpenly available?","confidence":0.75}]` | `[{"answer":"An open-source framework that provides optimized LLM inference with low latency and high throughput. It includes continuous batching, memory-efficient attention mechanisms, quantization support, and distributed serving across diverse hardware platforms. It is indexed under MLOps & LLMOps Tools.","source":"https://docs.vllm.ai","question":"What is vLLM?","confidence":0.6},{"answer":"vLLM is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://docs.vllm.ai","question":"Is vLLM free to use?","confidence":0.6},{"answer":"vLLM supports Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://docs.vllm.ai","question":"What platforms does vLLM support?","confidence":0.6},{"answer":"Yes. vLLM can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://docs.vllm.ai","question":"Can vLLM be self-hosted?","confidence":0.6},{"answer":"We have confirmed 32 integrations for vLLM, including Hugging Face, NVIDIA Dynamo, OpenAI-compatible API, Anthropic Messages API, FlashAttention, FlashInfer, CUTLASS and torch.compile, plus 24 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://docs.vllm.ai","question":"What does vLLM integrate with?","confidence":0.6},{"answer":"Yes. vLLM is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/vllm-project/vllm","question":"Is vLLM open source?","confidence":0.95}]` |
| deployment.options | `{"cloud":true}` | `{"cloud":true,"on_prem":true,"self_hosted":true}` |
| description.long | ReOpenly is an end-to-end platform that handles the infrastructure and training pipeline for fine-tuning open-source models on your dataset, then serving them via hosted API or downloading the weights for self-deployment. Smaller models tuned to specific tasks achieve comparable accuracy to large generalist models at significantly lower cost. | A production-grade inference engine designed for efficient serving of large language models with support for distributed deployment, GPU acceleration, and multi-model endpoints. |
| features.capabilities | `{"role":"platform","evaluation":true,"managed_cloud":true,"model_serving":true,"self_hostable":true,"vpc_deployment":true,"no_train_on_data":"unknown","framework_agnostic":true}` | `{"role":"serving","open_source":true,"managed_cloud":false,"model_serving":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"gpu_acceleration":true,"kubernetes_native":true,"llm_observability":true,"framework_agnostic":true,"continuous_batching":true,"multi_model_serving":true,"multi_gpu_multi_node":true,"quantization_support":true,"openai_compatible_api":true,"multi_framework_support":true}` |
| integrations.count | 3 | 29 |
| integrations.list | `[{"name":"LangChain","category":"framework"},{"name":"n8n","category":"automation"},{"name":"OpenAI","category":"llm"}]` | `[{"name":"Hugging Face"},{"name":"NVIDIA Dynamo"},{"name":"OpenAI-compatible API"},{"name":"Anthropic Messages API"},{"name":"FlashAttention"},{"name":"FlashInfer"},{"name":"CUTLASS"},{"name":"torch.compile"},{"name":"gRPC"},{"name":"GPTQ"},{"name":"AWQ"},{"name":"GGUF"},{"name":"ModelOpt"},{"name":"TorchAO"},{"name":"OpenAI API"},{"name":"Kubernetes"},{"name":"PyTorch"},{"name":"Ray"},{"name":"OpenTelemetry"},{"name":"Prometheus"},{"name":"FastAPI"},{"name":"Transformers"},{"name":"Outlines"},{"name":"Google Cloud TPU"},{"name":"Intel Gaudi"},{"name":"AMD Instinct"},{"name":"Apple Silicon"},{"name":"IBM Spyre"},{"name":"Huawei Ascend"},{"name":"Rebellions NPU"},{"name":"TRTLLM-GEN"},{"name":"CuTeDSL"},{"name":"OpenAI","native":true,"direction":"outbound"}]` |
| language.primary | - | Python |
| license.spdx | - | Apache-2.0 |
| market.availability | `{"hqCountry":"BR","primaryMarkets":["BR"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"web":true}` | `{"cli":true,"linux":true}` |
| pricing | `{"type":"usage","plans":[{"free":false,"name":"Pay-as-you-go","summary":"$0.03/GPU minute (training and inference)","features":["Fine-tune small open models","Hosted inference","OpenAI-compatible API","Auto-save dataset curation","Real-time training loss visualization"],"components":[{"kind":"metered","unit":"GPU","amount":0.03,"period":"minute","currency":"USD"}],"contactSales":false}],"summary":"Usage-based: $0.03 per GPU minute. New accounts receive welcome credits.","currency":"USD","freeTier":true,"sourceUrl":"https://reopenly.com/pt/pricing/","retrievedAt":"2026-09-08T13:40:11.997Z","startingPrice":{"unit":"GPU","amount":0.03,"period":"minute","currency":"USD"}}` | `{"type":"open_source","freeTier":true,"sourceUrl":"https://docs.vllm.ai","retrievedAt":"2026-08-14T21:53:56.648Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | open_source |
| pricing.price_level | low | free |
| pricing.starting_price | `{"amount":0.03,"currency":"USD"}` | - |
| pricing.transparent | yes | yes |
| release.cadence_days | - | 12 |
| release.history | - | `[{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.31.0","date":"2026-10-05T06:44:55Z","type":"stable","version":"v0.31.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.30.0","date":"2026-09-22T05:20:54Z","type":"stable","version":"v0.30.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.29.0","date":"2026-09-09T08:54:49Z","type":"stable","version":"v0.29.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.28.0","date":"2026-08-26T09:46:30Z","type":"stable","version":"v0.28.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.27.1","date":"2026-08-11T10:47:49Z","type":"stable","version":"v0.27.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.27.0","date":"2026-08-10T21:18:11Z","type":"stable","version":"v0.27.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.26.0","date":"2026-07-27T01:06:58Z","type":"stable","version":"v0.26.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.25.1","date":"2026-07-14T08:51:20Z","type":"stable","version":"v0.25.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.25.0","date":"2026-07-11T20:06:44Z","type":"stable","version":"v0.25.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.24.0","date":"2026-06-29T19:41:59Z","type":"stable","version":"v0.24.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.23.0","date":"2026-06-15T05:27:20Z","type":"stable","version":"v0.23.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.22.1","date":"2026-06-05T10:10:00Z","type":"stable","version":"v0.22.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.22.0","date":"2026-05-29T10:28:13Z","type":"stable","version":"v0.22.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.21.0","date":"2026-05-15T08:44:26Z","type":"stable","version":"v0.21.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.20.2","date":"2026-05-10T07:37:57Z","type":"stable","version":"v0.20.2"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.20.1","date":"2026-05-04T10:36:26Z","type":"stable","version":"v0.20.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.20.0","date":"2026-04-27T21:20:28Z","type":"stable","version":"v0.20.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.19.1","date":"2026-04-18T05:44:42Z","type":"stable","version":"v0.19.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.19.0","date":"2026-04-03T02:19:12Z","type":"stable","version":"v0.19.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.18.1","date":"2026-03-31T00:53:26Z","type":"stable","version":"v0.18.1"}]` |
| security.trust_center | https://reopenly.com/pt/privacy/ | https://docs.vllm.ai/en/latest/usage/security/ |
| security.vulnerabilities | - | `{"count":80,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=vllm&per_page=100","last_12m":52,"max_severity":"CRITICAL"}` |

## Capabilities (MLOps & LLMOps Tools)

| Capability | ReOpenly | vLLM |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | End-to-end ML platform | Model serving |
| **Deployment** |  |  |
| Self-hostable / OSS core | ✓ | ✓ |
| Managed cloud available | ✓ | ✗ |
| On-prem / VPC deployment | ✓ | ✓ |
| **Observability** |  |  |
| LLM tracing / observability | - | ✓ |
| Evaluation (offline / LLM-judge / human) | ✓ | - |
| **Dev** |  |  |
| Prompt management + versioning | - | - |
| **Tracking** |  |  |
| Experiment tracking / model registry | - | - |
| **Serving** |  |  |
| Model serving / inference endpoint | ✓ | ✓ |
| **Interop** |  |  |
| OpenTelemetry / OpenLLMetry compatible | - | ✓ |
| Framework-agnostic | ✓ | ✓ |
| **Gateway** |  |  |
| Multi-provider model support | - | ✓ |
| **Data** |  |  |
| No-train-on-customer-data guarantee | Unknown | - |

*Source: vioscaleAI. Generated 2026-10-16T18:57:06.051Z. "-" = undocumented, not absent.*