# LiteLLM vs MLflow

**Leader by vioscaleAI score:** MLflow

| Attribute | LiteLLM | MLflow |
|---|---|---|
| **vioscaleAI score** | 57.6 (35% (low)) | 70.4 (67% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 5,089 |
| adoption.github_stars | - | 28,260 |
| adoption.package_downloads_weekly | - | 9,993,245 |
| content.faq | `[{"answer":"A gateway that consolidates language model API requests across 140+ providers through a single endpoint, with centralized cost tracking, budget controls, rate limiting, and team-based access management. Available as open-source software for self-hosted deployment or as an enterprise managed service. It is indexed under Llm Gateways.","source":"https://litellm.ai","question":"What is LiteLLM?","confidence":0.6},{"answer":"LiteLLM does not publish its prices. Pricing is quoted on request, across 2 plans (Free and Enterprise), so the figure depends on your seat count and requirements. We record this as a pricing-transparency signal rather than guessing a number. Pricing changes often, so verify at source before relying on it.","source":"https://litellm.ai","question":"How much does LiteLLM cost?","confidence":0.6},{"answer":"LiteLLM supports the web and Linux. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://litellm.ai","question":"What platforms does LiteLLM support?","confidence":0.6},{"answer":"Yes. LiteLLM can be deployed cloud / SaaS, air-gapped and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://litellm.ai","question":"Can LiteLLM be self-hosted?","confidence":0.6},{"answer":"We have confirmed 29 integrations for LiteLLM, including OpenAI, Anthropic, Azure, AWS Bedrock, Cloudflare, Google VertexAI, Meta Llama and Mistral AI, plus 21 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://litellm.ai","question":"What does LiteLLM integrate with?","confidence":0.6}]` | `[{"answer":"A comprehensive, open-source platform that provides experiment tracking, model registry, LLM tracing, prompt management, and deployment capabilities across the complete machine learning and AI lifecycle It is indexed under MLOps & LLMOps Tools.","source":"https://mlflow.org","question":"What is MLflow?","confidence":0.6},{"answer":"MLflow 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://mlflow.org","question":"Is MLflow free to use?","confidence":0.6},{"answer":"MLflow supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://mlflow.org","question":"What platforms does MLflow support?","confidence":0.6},{"answer":"Yes. MLflow can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://mlflow.org","question":"Can MLflow be self-hosted?","confidence":0.6},{"answer":"We have confirmed 24 integrations for MLflow, including Databricks, AWS S3, Google Cloud Storage, Azure Storage, AzureML, Kubernetes, LangChain and Pydantic AI, plus 16 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://mlflow.org","question":"What does MLflow integrate with?","confidence":0.6},{"answer":"Yes. MLflow 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/mlflow/mlflow","question":"Is MLflow open source?","confidence":0.95}]` |
| deployment.options | `{"cloud":true,"on_prem":true,"air_gapped":true,"self_hosted":true}` | `{"cloud":true,"on_prem":true,"self_hosted":true}` |
| description.long | An open-source AI gateway that abstracts access to over 140 language model providers behind a single OpenAI-compatible API, enabling teams to implement spend tracking, request routing, and governance controls without changing application code. | A comprehensive platform that helps teams debug, evaluate, monitor, and optimize production AI applications. Provides experiment tracking, prompt management, model deployment, systematic evaluation tools, and a unified API gateway for managing access to multiple LLM providers with cost controls. |
| features.capabilities | `{"open_source":true,"pricing_model":"open-source-self-host","rate_limiting":true,"deployment_model":"self-hosted","routing_strategy":"cost-based","architecture_model":"open_source_proxy","automatic_failover":true,"budget_spend_controls":true,"guardrails_moderation":"built-in","openai_compatible_api":true,"virtual_key_management":true,"request_cost_observability":true,"bring_your_own_keys_byok_routing":true,"mit_or_apache_permissive_oss_license":true,"custom_rate_limiting_by_user_or_tenant_id":true,"universal_api_key_for_100_plus_llm_providers":true,"auto_fallback_routing_on_rate_limit_or_downtime":true,"organization_wide_cost_tracking_and_chargebacks":true}` | `{"role":"platform","evaluation":true,"open_source":true,"managed_cloud":true,"model_serving":true,"pricing_model":"free_open_source","rate_limiting":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"deployment_model":"self-hosted","llm_observability":true,"prompt_management":true,"streaming_support":true,"architecture_model":"open_source_proxy","framework_agnostic":true,"experiment_tracking":true,"budget_spend_controls":true,"guardrails_moderation":"built-in","openai_compatible_api":true,"request_cost_observability":true,"mit_or_apache_permissive_oss_license":true,"auto_fallback_routing_on_rate_limit_or_downtime":true,"organization_wide_cost_tracking_and_chargebacks":true}` |
| integrations.count | 140 | 9 |
| integrations.list | `[{"name":"OpenAI"},{"name":"Anthropic"},{"name":"Azure"},{"name":"AWS Bedrock"},{"name":"Cloudflare"},{"name":"Google VertexAI"},{"name":"Meta Llama"},{"name":"Mistral AI"},{"name":"NLP Cloud"},{"name":"OVHCloud"},{"name":"vLLM"},{"name":"Nvidia NIM"},{"name":"Slack"},{"name":"Discord"},{"name":"Microsoft Teams"},{"name":"PagerDuty"},{"name":"Prometheus"},{"name":"AWS Secrets Manager"},{"name":"Google Cloud Secret Manager"},{"name":"MCP servers"},{"name":"Gemini"},{"name":"Bedrock"},{"name":"VertexAI"},{"name":"Langfuse"},{"name":"Langsmith"},{"name":"Datadog"},{"name":"Email"},{"name":"Webhook"},{"name":"S3"},{"name":"Google Cloud Storage"},{"name":"Azure Data Lake"},{"name":"GCP Secret Manager"},{"name":"Amazon S3","native":true,"category":"storage","direction":"outbound"},{"name":"Google Gemini","native":true,"category":"llm","direction":"bidirectional"},{"name":"Lunary","native":true,"category":"observability","direction":"outbound"},{"name":"MLflow","native":true,"category":"observability","direction":"outbound"}]` | `[{"name":"Databricks"},{"name":"AWS S3"},{"name":"Google Cloud Storage"},{"name":"Azure Storage"},{"name":"AzureML"},{"name":"Kubernetes"},{"name":"LangChain"},{"name":"Pydantic AI"},{"name":"Anthropic Claude"},{"name":"OpenAI"},{"name":"Google Gemini"},{"name":"SAP AI Core"},{"name":"JFrog"},{"name":"Aliyun"},{"name":"PostgreSQL"},{"name":"MySQL"},{"name":"MSSQL"},{"name":"Claude Code"},{"name":"OpenAI Codex"},{"name":"Gemini"},{"name":"Anthropic"},{"name":"Ollama"},{"name":"OpenClaw"},{"name":"Qwen Code"},{"name":"LiteLLM"},{"name":"Amazon S3"},{"name":"OpenTelemetry/OTLP"},{"name":"OpenAI-compatible endpoints"},{"name":"OpenTelemetry","native":true,"category":"observability"},{"name":"Azure ML","native":true,"category":"platform"},{"name":"AWS SageMaker","native":true,"category":"platform"},{"name":"Docker","native":true,"category":"platform"}]` |
| language.primary | - | Python |
| license.spdx | - | Apache-2.0 |
| market.availability | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":true,"name":"Open Source","summary":"Free forever, self-hosted","features":["100+ LLM providers, one OpenAI API","Virtual keys, users & teams","Spend tracking","Budgets + rate limits","LLM fallbacks","Request/response logging","Prometheus metrics","Admin UI"],"description":"Free forever, self-hosted","contactSales":false},{"free":false,"name":"Enterprise","summary":"Custom pricing by annual request volume and deployment needs","features":["Everything in Open Source, plus:","SSO + SCIM","OIDC / JWT auth","Audit logs","Secret managers + key rotation","Org & team admins","Multi-region control plane","24/7 support & SLAs","Dedicated support & onboarding","Volume discount tiers"],"commitment":"annual","description":"Annual deployment priced by request volume and architecture","contactSales":true}],"summary":"Free open-source self-hosted tier; Enterprise priced to scale","freeTier":true,"sourceUrl":"https://www.litellm.ai/pricing","retrievedAt":"2026-10-02T10:55:52.193Z","freeTrialDays":30,"billingPeriods":["year"]}` | `{"type":"open_source","sourceUrl":"https://mlflow.org","retrievedAt":"2026-10-05T10:15:00.395Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | open_source |
| pricing.price_level | low | free |
| pricing.transparent | no | yes |
| release.cadence_days | - | 9 |
| release.history | - | `[{"url":"https://github.com/mlflow/mlflow/releases/tag/model-catalog/latest","date":"2026-04-06T05:49:14Z","type":"stable","version":"model-catalog/latest"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v2.11.5","date":"2026-09-23T06:17:56Z","type":"stable","version":"v2.11.5"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.16.1","date":"2026-09-17T02:40:08Z","type":"stable","version":"v3.16.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.16.0","date":"2026-09-04T08:30:54Z","type":"stable","version":"v3.16.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.15.2","date":"2026-08-26T08:34:31Z","type":"stable","version":"v3.15.2"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.15.1","date":"2026-08-03T11:09:58Z","type":"stable","version":"v3.15.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.15.0","date":"2026-07-31T08:59:13Z","type":"stable","version":"v3.15.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.14.0","date":"2026-06-17T08:50:33Z","type":"stable","version":"v3.14.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.13.0","date":"2026-06-01T23:24:24Z","type":"stable","version":"v3.13.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.13.0rc0","date":"2026-05-22T07:41:13Z","type":"prerelease","version":"v3.13.0rc0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/ts/v0.2.0","date":"2026-05-15T04:09:03Z","type":"stable","version":"ts/v0.2.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.12.0","date":"2026-05-05T23:48:58Z","type":"stable","version":"v3.12.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.12.0rc0","date":"2026-04-28T23:25:56Z","type":"prerelease","version":"v3.12.0rc0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/ts/v0.2.0-rc.1","date":"2026-04-13T09:42:04Z","type":"prerelease","version":"ts/v0.2.0-rc.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.11.1","date":"2026-04-08T05:29:25Z","type":"stable","version":"v3.11.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.11.0rc1","date":"2026-04-01T09:14:13Z","type":"prerelease","version":"v3.11.0rc1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.11.0rc0","date":"2026-03-16T14:02:42Z","type":"prerelease","version":"v3.11.0rc0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.10.1","date":"2026-03-05T14:47:14Z","type":"stable","version":"v3.10.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.10.0","date":"2026-02-20T16:05:05Z","type":"stable","version":"v3.10.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.10.0rc0","date":"2026-02-12T05:01:00Z","type":"prerelease","version":"v3.10.0rc0"}]` |
| security.scorecard | - | 5.4 |
| security.trust_center | - | https://mlflow.org/articles/tags/ai-compliance-policies/ |
| security.vulnerabilities | - | `{"count":82,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=mlflow&per_page=100","last_12m":29,"max_severity":"CRITICAL"}` |

## Capabilities (Llm Gateways)

| Capability | LiteLLM | MLflow |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Openai compatible API | ✓ | ✓ |
| Automatic failover | ✓ | - |
| Routing strategy | Cost based | - |
| Caching | - | - |
| Virtual key management | ✓ | - |
| Budget spend controls | ✓ | ✓ |
| Rate limiting | ✓ | ✓ |
| Guardrails moderation | Built in | Built in |
| Request cost observability | ✓ | ✓ |
| Streaming support | - | ✓ |
| Deployment model | Self hosted | Self hosted |
| Open source | ✓ | ✓ |
| Pricing model | Open source self host | free_open_source |

*Source: vioscaleAI. Generated 2026-10-17T09:45:45.119Z. "-" = undocumented, not absent.*