# Baseten vs vLLM

**Leader by Vioscale score:** Baseten

| Attribute | Baseten | vLLM |
|---|---|---|
| **Vioscale score** | 76.3 (73% (medium)) | 67.6 (67% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 5 |
| adoption.github_stars | - | 90,137 |
| adoption.package_downloads_weekly | - | 1,098,710 |
| deployment.options | `{"cloud":true,"hybrid":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true,"on_prem":true,"self_hosted":true}` |
| description.long | An infrastructure platform that handles serving, optimizing, and scaling machine learning models across multiple clouds. Offers both managed cloud and self-hosted deployment options with built-in performance tuning, autoscaling, and 99.99% uptime reliability. | 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. |
| features.capabilities | `{"role":"serving","evaluation":false,"soc2_type_ii":true,"compute_model":"dedicated_gpu_instance","managed_cloud":true,"model_serving":true,"pricing_model":"per_million_tokens","self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":false,"llm_observability":false,"prompt_management":false,"framework_agnostic":true,"experiment_tracking":true,"openai_compatible_rest_api_schema":true,"bring_your_own_weights_byow_hosting":true,"dynamic_batching_and_kv_cache_management":true,"massive_context_window_support_100k_plus":true,"hipaa_baa_compliance_for_medical_inference":true,"multimodal_vision_and_audio_in_out_support":true,"native_function_calling_and_strict_json_mode":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":"Plotly"},{"name":"OpenAI-compatible endpoint"},{"name":"Truss"}]` | `[{"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"}]` |
| language.primary | - | Python |
| license.spdx | - | Apache-2.0 |
| market.availability | `{"hqCountry":"US","primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"mac":true,"web":true}` | `{"cli":true,"linux":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":true,"name":"Basic","summary":"$0/month base, pay-as-you-go compute","features":["Dedicated deployments","Model APIs","Training","Fast cold starts","SOC 2 Type II and HIPAA compliant","Email and in-app chat support"],"components":[{"kind":"fixed","amount":0,"period":"month","currency":"USD"}],"description":"Deploy custom, fine-tuned, and open-source models with dedicated deployments, model APIs, training, fast cold starts","contactSales":false},{"free":false,"name":"Pro","summary":"Volume discounts available. Custom pricing via quote.","features":["Everything in Basic","Priority access to high-demand GPUs","Dedicated compute","Higher Model API rate limits","Hands-on engineering expertise","Dedicated support on Slack and Zoom"],"description":"Unlimited autoscaling and priority compute access with dedicated compute, higher rate limits, hands-on engineering support","contactSales":true},{"free":false,"name":"Enterprise","summary":"Volume discounts available. Custom pricing via quote.","features":["Everything in Pro","Custom SLAs","Self-host deployments","On-demand flex compute","Use existing cloud commitments","Full control over data residency","Advanced security and compliance","Custom global regions","Advanced RBAC with Teams"],"description":"Full control with custom SLAs, self-hosted deployments, on-demand flex compute, data residency control, and advanced security","contactSales":true}],"summary":"Free tier with pay-as-you-go compute ($0.01/min for basic instances). Pro and Enterprise plans available via quote with volume discounts.","currency":"USD","freeTier":true,"sourceUrl":"https://www.baseten.co/pricing/","retrievedAt":"2026-08-14T09:22:26.114Z","billingPeriods":["month"]}` | `{"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.transparent | yes | yes |
| release.cadence_days | - | 9 |
| release.history | - | `[{"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"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.18.0","date":"2026-03-20T21:31:36Z","type":"stable","version":"v0.18.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.17.1","date":"2026-03-11T10:24:34Z","type":"stable","version":"v0.17.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.17.0","date":"2026-03-07T00:46:41Z","type":"stable","version":"v0.17.0"}]` |
| reliability.sla_pct | 99.99 | - |
| reliability.status_page | yes | - |
| security.disclosure_policy | yes | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.pci | yes | - |
| security.soc2 | yes | - |
| security.vulnerabilities | - | `{"count":62,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=vllm&per_page=100","last_12m":37,"max_severity":"CRITICAL"}` |

## Capabilities (MLOps & LLMOps Tools)

| Capability | Baseten | vLLM |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Model serving | 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 | - | - |

*Source: Vioscale. Generated 2026-09-01T17:21:14.186Z. "-" = undocumented, not absent.*