# CrewAI vs vLLM

**Leader by Vioscale score:** vLLM

| Attribute | CrewAI | vLLM |
|---|---|---|
| **Vioscale score** | 61.7 (76% (high)) | 67.6 (67% (medium)) |
| activity.commits_last_30d | 100 | 100 |
| adoption.dependent_repos | 0 | 5 |
| adoption.github_stars | 57,642 | 90,137 |
| adoption.package_downloads_weekly | 4,500,329 | 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 | A comprehensive platform combining an open-source Python framework for multi-agent workflows with a managed cloud control plane that adds governance, security, tracing, and deployment capabilities for enterprise production use. | 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":"platform","evaluation":true,"managed_cloud":true,"model_serving":true,"pricing_model":"commercial_enterprise_platform","self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"no_train_on_data":"unknown","llm_observability":true,"prompt_management":true,"framework_agnostic":false,"experiment_tracking":true,"architecture_paradigm":"graph_based_cycles","native_observability_and_trace_logging":true,"native_memory_and_state_persistence_layer":true,"tool_calling_and_function_schema_validation":true,"managed_cloud_runtime_infrastructure_offered":true,"synchronous_and_asynchronous_execution_modes":true,"dynamic_agent_generation_and_spawning_at_runtime":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 | 15 | 29 |
| integrations.list | `[{"name":"NVIDIA NIM"},{"name":"GitHub"},{"name":"Slack"},{"name":"Microsoft Teams"},{"name":"Arize"},{"name":"Galileo"},{"name":"DataDog"},{"name":"Patronus"},{"name":"IBM Db2"},{"name":"OpenTelemetry"},{"name":"LiteLLM"},{"name":"Anthropic"},{"name":"E2B"},{"name":"Daytona"},{"name":"AWS Bedrock"},{"name":"Ollama"},{"name":"OpenAI"},{"name":"Model Context Protocol"},{"name":"SerperDev"}]` | `[{"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 | Python |
| license.spdx | MIT | Apache-2.0 |
| market.availability | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"linux":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":true,"name":"Basic","summary":"Free tier with 50 workflow executions/month and 2 automations","features":["Visual editor and AI copilot","GitHub integration","50 workflow executions/month","Studio (visual editor)","Standard tools and triggers","Private agent repository","Private tools repository","Agentic workflow templates","Export as MCP server","Export as UI component","CrewAI cloud deployment","Tracing and OpenTelemetry","AI agent training","LLM testing","Guardrails","Human-in-the-loop input","Workflow chat (UI, Slack, Teams)","Usage dashboard","Token count and performance metrics","Hallucination scores","Deployment history","LLM management","Automatic scaling","Cron scheduling","Community support"],"description":"Foundation tier for building agentic workflows","contactSales":false,"includedLimits":{"automations":"2","workflow_executions":"50/month"}},{"free":false,"name":"Enterprise","summary":"Custom pricing with enterprise governance, compliance, and dedicated support","features":["All Basic features, plus:","Enterprise connectors","SSO (MS Entra, Okta)","Role-based access control (RBAC)","Workload identity","PII redaction","Policy enforcement","Deployment: CrewAI cloud, dedicated VPC, or customer infrastructure","SAM certified deployment","FedRamp High compliance","Dedicated support","Slack/Teams support","Support contact","On-site training and support","Deployment assistance","Development support","45-day onboarding program","Forward deployed engineering (available a la carte)"],"description":"Enterprise tier with governance, compliance, and infrastructure flexibility","contactSales":true,"includedLimits":{"automations":"Custom","workflow_executions":"Custom"}}],"summary":"Free tier (Basic) with 50 executions/month; Enterprise custom pricing with governance and compliance","currency":"USD","freeTier":true,"sourceUrl":"https://crewai.com/pricing","retrievedAt":"2026-08-14T09:18:58.239Z"}` | `{"type":"open_source","freeTier":true,"sourceUrl":"https://docs.vllm.ai","retrievedAt":"2026-08-14T21:53:56.648Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | commercial | open_source |
| pricing.price_level | low | free |
| pricing.transparent | no | yes |
| release.cadence_days | 1 | 9 |
| release.history | `[{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.17","date":"2026-08-20T00:27:23Z","type":"stable","version":"1.15.17"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.16","date":"2026-08-14T00:08:07Z","type":"stable","version":"1.15.16"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.15","date":"2026-08-12T01:27:30Z","type":"stable","version":"1.15.15"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.14","date":"2026-08-08T22:57:37Z","type":"stable","version":"1.15.14"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.13","date":"2026-08-07T21:13:23Z","type":"stable","version":"1.15.13"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.12","date":"2026-08-05T22:56:34Z","type":"stable","version":"1.15.12"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.11","date":"2026-08-05T06:29:59Z","type":"stable","version":"1.15.11"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.10","date":"2026-07-31T14:57:37Z","type":"stable","version":"1.15.10"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.9","date":"2026-07-30T05:45:26Z","type":"stable","version":"1.15.9"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.8","date":"2026-07-28T15:06:04Z","type":"stable","version":"1.15.8"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.7","date":"2026-07-26T18:20:02Z","type":"stable","version":"1.15.7"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.7a1","date":"2026-07-26T17:04:25Z","type":"prerelease","version":"1.15.7a1"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.6","date":"2026-07-24T20:30:33Z","type":"stable","version":"1.15.6"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.5","date":"2026-07-20T16:33:25Z","type":"stable","version":"1.15.5"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.4","date":"2026-07-17T14:33:30Z","type":"stable","version":"1.15.4"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.3","date":"2026-07-16T19:43:04Z","type":"stable","version":"1.15.3"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.3a2","date":"2026-07-16T18:56:12Z","type":"prerelease","version":"1.15.3a2"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.3a1","date":"2026-07-16T17:22:22Z","type":"prerelease","version":"1.15.3a1"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.2","date":"2026-07-08T02:05:22Z","type":"stable","version":"1.15.2"},{"url":"https://github.com/crewAIInc/crewAI/releases/tag/1.15.2a2","date":"2026-07-01T22:15:05Z","type":"prerelease","version":"1.15.2a2"}]` | `[{"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.status_page | yes | - |
| security.disclosure_policy | yes | - |
| security.fedramp | yes | - |
| security.hipaa | yes | - |
| security.soc2 | yes | - |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=crewai-clean&per_page=100","last_12m":0,"max_severity":null}` | `{"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 | CrewAI | 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: Vioscale. Generated 2026-09-01T16:57:15.290Z. "-" = undocumented, not absent.*