# LlamaIndex vs vLLM

| Attribute | LlamaIndex | vLLM |
|---|---|---|
| **Vioscale score** | 66.3 (75% (high)) | 67.6 (67% (medium)) |
| activity.commits_last_30d | 32 | 100 |
| adoption.dependent_repos | 0 | 5 |
| adoption.github_stars | 51,883 | 90,137 |
| adoption.package_downloads_weekly | 1,685,400 | 1,098,710 |
| deployment.options | `{"cloud":true,"hybrid":true}` | `{"cloud":true,"on_prem":true,"self_hosted":true}` |
| description.long | LlamaParse is a cloud-based document parsing platform that uses vision language models and intelligent agents to automatically process complex documents—including PDFs, images, and office files—with support for layout detection, multi-modal content, and 80+ languages. It transforms document ingestion workflows with agentic extraction and indexing capabilities. | 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":"framework","evaluation":false,"soc2_type_ii":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":false,"prompt_management":false,"framework_agnostic":true,"experiment_tracking":false,"mit_or_apache_permissive_oss_license":false,"native_observability_and_trace_logging":true,"fault_tolerance_and_llm_retry_mechanisms":true,"native_memory_and_state_persistence_layer":false,"tool_calling_and_function_schema_validation":true,"managed_cloud_runtime_infrastructure_offered":true,"synchronous_and_asynchronous_execution_modes":true,"streaming_output_and_intermediate_step_yielding":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 | 3 | 29 |
| integrations.list | `[{"name":"AWS"},{"name":"Microsoft Azure"},{"name":"GitHub"}]` | `[{"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 | `{"hqCountry":"US","primaryMarkets":["US","EU"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"web":true}` | `{"cli":true,"linux":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":true,"name":"Free","summary":"$0/month, 10K credits included","features":["Basic parsing","Up to 130+ file formats","File upload only","Community support"],"components":[{"kind":"fixed","amount":0,"period":"month","currency":"USD"}],"contactSales":false,"includedLimits":{"credits":"10,000/month","concurrent_parse_jobs":"20","concurrent_sheets_jobs":"1","concurrent_extract_jobs":"5"}},{"free":false,"name":"Starter","summary":"$50/month up to 400K credits","features":["Multiple parse tiers (Cost Effective, Agentic, Agentic Plus)","Auto Mode smart tier routing","Advanced table and chart extraction","Structured JSON output","Extraction agents","Saved parse configs & model versioning","99.9% uptime","Basic email support"],"components":[{"kind":"fixed","amount":50,"period":"month","currency":"USD"}],"contactSales":false,"includedLimits":{"credits":"400,000/month","concurrent_parse_jobs":"100"}},{"free":false,"name":"Pro","summary":"$500/month up to 4M credits","features":["All Starter features","Classification & splitting","Sheets (spreadsheet data extraction)","Agents Builder","External data sources","Webhooks & API callbacks","Smart result caching","Slack support"],"components":[{"kind":"fixed","amount":500,"period":"month","currency":"USD"}],"contactSales":false,"includedLimits":{"credits":"4,000,000/month"}},{"free":false,"name":"Enterprise","summary":"Custom pricing with volume discounts","features":["Volume discount on credits","5x higher rate limits","Enterprise SSO","SaaS or Hybrid cloud deployment","Dedicated account manager","Priority Slack support with SLAs"],"contactSales":true}],"summary":"Free tier with 10K monthly credits; pay-as-you-go starting at $50/month. Credit pricing: 1,000 credits = $1.25.","currency":"USD","freeTier":true,"sourceUrl":"https://www.llamaindex.ai/pricing","retrievedAt":"2026-08-21T12:45:05.106Z","startingPrice":{"amount":50,"period":"month","currency":"USD"},"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 | mid | free |
| pricing.starting_price | `{"amount":50,"currency":"USD"}` | - |
| pricing.transparent | yes | yes |
| release.cadence_days | 12 | 9 |
| release.history | `[{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.24","date":"2026-08-19T18:48:01Z","type":"stable","version":"v0.14.24"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.23","date":"2026-06-24T19:36:43Z","type":"stable","version":"v0.14.23"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.22","date":"2026-05-14T20:22:24Z","type":"stable","version":"v0.14.22"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.21","date":"2026-04-21T00:18:51Z","type":"stable","version":"v0.14.21"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.20","date":"2026-04-03T19:55:51Z","type":"stable","version":"v0.14.20"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.19","date":"2026-03-25T20:59:15Z","type":"stable","version":"v0.14.19"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.18","date":"2026-03-16T19:42:07Z","type":"stable","version":"v0.14.18"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.16","date":"2026-03-10T19:20:35Z","type":"stable","version":"v0.14.16"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.15","date":"2026-02-18T19:06:42Z","type":"stable","version":"v0.14.15"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.14","date":"2026-02-10T23:08:46Z","type":"stable","version":"v0.14.14"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.13","date":"2026-01-21T20:44:52Z","type":"stable","version":"v0.14.13"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.12","date":"2025-12-30T01:07:03Z","type":"stable","version":"v0.14.12"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.10","date":"2025-12-04T19:46:03Z","type":"stable","version":"v0.14.10"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.9","date":"2025-12-02T21:31:18Z","type":"stable","version":"v0.14.9"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.8","date":"2025-11-10T22:18:42Z","type":"stable","version":"v0.14.8"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.7","date":"2025-10-30T23:58:43Z","type":"stable","version":"v0.14.7"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.6","date":"2025-10-26T03:01:31Z","type":"stable","version":"v0.14.6"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.5","date":"2025-10-15T19:10:56Z","type":"stable","version":"v0.14.5"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.4","date":"2025-10-03T17:52:07Z","type":"stable","version":"v0.14.4"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.3","date":"2025-09-24T21:02:46Z","type":"stable","version":"v0.14.3"}]` | `[{"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 | 99.9 | - |
| reliability.status_page | yes | - |
| security.disclosure_policy | yes | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.soc2 | yes | - |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=nixpkgs&package_name=python312Packages.llama-index-llms-openai&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 | LlamaIndex | vLLM |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Agent / RAG framework | 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 2026-09-01T15:17:09.011Z. "-" = undocumented, not absent.*