# Ollama vs vLLM

**Leader by vioscaleAI score:** Ollama

| Attribute | Ollama | vLLM |
|---|---|---|
| **vioscaleAI score** | 73.3 (56% (medium)) | 63.5 (58% (medium)) |
| activity.commits_last_30d | 100 | 100 |
| adoption.dependent_repos | 0 | 5 |
| adoption.github_stars | 183,171 | 93,797 |
| adoption.package_downloads_weekly | 2,940,647 | 463,948 |
| content.faq | `[{"answer":"A platform for running open-source language models through CLI, API, or desktop interfaces, with broad integration support for development tools. Provides both private local execution and cloud-hosted inference while maintaining strict data privacy and refusing to train on user inputs. It is indexed under MLOps & LLMOps Tools.","source":"https://ollama.com/pricing","question":"What is Ollama?","confidence":0.6},{"answer":"Ollama is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. A commercial or hosted edition starts at $20 per month. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.","source":"https://ollama.com/pricing","question":"Is Ollama free to use?","confidence":0.6},{"answer":"Ollama supports the web, Windows, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://ollama.com/pricing","question":"What platforms does Ollama support?","confidence":0.6},{"answer":"Yes. Ollama can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://ollama.com/pricing","question":"Can Ollama be self-hosted?","confidence":0.6},{"answer":"We have confirmed 63 integrations for Ollama, including Claude Code, OpenClaw, OpenCode, Codex, Copilot, Droid, Open WebUI and Onyx, plus 55 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://ollama.com/pricing","question":"What does Ollama integrate with?","confidence":0.6},{"answer":"We have independently confirmed GDPR for Ollama. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Ollama not holding them. Always confirm compliance directly before you rely on it.","source":"https://ollama.com/privacy","question":"What security certifications does Ollama have?","confidence":0.7},{"answer":"Yes. Ollama is published under the MIT 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/ollama/ollama","question":"Is Ollama open source?","confidence":0.95},{"answer":"Ollama is available worldwide. Its primary markets are the United States and the EU.","source":"https://ollama.com/pricing","question":"Where is Ollama 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,"hybrid":true,"self_hosted":true}` | `{"cloud":true,"on_prem":true,"self_hosted":true}` |
| description.long | Ollama enables developers to run open-source language models either on their own computers or through Ollama's cloud infrastructure, with a guarantee that user prompts and responses are never logged, stored, or used for training. Models can run locally without internet (limited by hardware) or in the cloud with no performance constraints. | 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,"open_source":true,"managed_cloud":true,"model_serving":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"gpu_acceleration":true,"no_train_on_data":"yes","llm_observability":true,"prompt_management":true,"framework_agnostic":true,"multi_model_serving":true,"multi_gpu_multi_node":true,"quantization_support":true,"openai_compatible_api":true,"multi_framework_support":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 | 40,000 | 29 |
| integrations.list | `[{"name":"Claude Code"},{"name":"OpenClaw"},{"name":"OpenCode"},{"name":"Codex"},{"name":"Copilot"},{"name":"Droid"},{"name":"Open WebUI"},{"name":"Onyx"},{"name":"LibreChat"},{"name":"Lobe Chat"},{"name":"NextChat"},{"name":"Perplexica"},{"name":"big-AGI"},{"name":"Lollms WebUI"},{"name":"ChatOllama"},{"name":"Bionic GPT"},{"name":"Chatbot UI"},{"name":"Hollama"},{"name":"Chatbox"},{"name":"Ollama RAG Chatbot"},{"name":"Dify.AI"},{"name":"AnythingLLM"},{"name":"Maid"},{"name":"Witsy"},{"name":"Cherry Studio"},{"name":"Ollama App"},{"name":"PyGPT"},{"name":"Alpaca"},{"name":"SwiftChat"},{"name":"Enchanted"},{"name":"RWKV-Runner"},{"name":"Ollama Grid Search"},{"name":"macai"},{"name":"AI Studio"},{"name":"Reins"},{"name":"ConfiChat"},{"name":"LLocal.in"},{"name":"MindMac"},{"name":"Msty"},{"name":"BoltAI for Mac"},{"name":"IntelliBar"},{"name":"Kerlig AI"},{"name":"Hermes Agent"},{"name":"Slack"},{"name":"Discord"},{"name":"Telegram"},{"name":"WhatsApp"},{"name":"Docker"},{"name":"Python"},{"name":"Spring Framework"},{"name":"LangChain"},{"name":"Vercel"},{"name":"Cursor"},{"name":"VS Code"},{"name":"C# / .NET"},{"name":"Julia"},{"name":"Go"},{"name":"Emacs"},{"name":"Anthropic"},{"name":"Datasette"},{"name":"Stripe"},{"name":"NVIDIA"},{"name":"Google Gemma"},{"name":"Meta Llama"},{"name":"Claude Desktop","native":true},{"name":"ChatGPT Desktop","native":true},{"name":"n8n","native":false,"category":"automation"},{"name":"Spring AI","native":false,"category":"framework"},{"name":"Muse Code","native":false},{"name":"DeepSeek Harness","native":false},{"name":"Claude","native":true,"category":"chat","direction":"bidirectional"},{"name":"ChatGPT","native":true,"category":"chat","direction":"bidirectional"}]` | `[{"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 | Go | Python |
| license.spdx | MIT | Apache-2.0 |
| market.availability | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"mac":true,"linux":true,"windows":true}` | `{"cli":true,"linux":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":true,"name":"Free","summary":"Free","features":["Run models locally","Starter usage credits included","Access to starter models","Add credits to unlock all models","No service fees"],"components":[{"kind":"fixed","amount":0,"period":"month","currency":"USD"}],"description":"For getting started with open models","contactSales":false},{"free":false,"name":"Pro","summary":"$20/mo or $200/yr billed annually","features":["Everything in Free, plus","$60 of usage credits per month","Access to larger pro models","Run multiple models concurrently","Fast mode (coming soon)"],"components":[{"kind":"fixed","amount":20,"period":"month","currency":"USD"},{"kind":"fixed","amount":200,"period":"year","currency":"USD"}],"description":"For shorter, well-defined day-to-day tasks","contactSales":false,"includedLimits":{"usage_credits":"$60/month"}},{"free":false,"name":"Max","summary":"$100/mo","features":["Everything in Pro, plus","$300 of usage credits per month","Early access to the newest models","10 concurrent requests"],"components":[{"kind":"fixed","amount":100,"period":"month","currency":"USD"}],"description":"For power users who run multiple agents simultaneously","contactSales":false,"includedLimits":{"usage_credits":"$300/month"}},{"free":false,"name":"Team","summary":"$500/mo","features":["Unlimited users","$1,000 of usage credits per month, shared across the team","Centralized billing and administration","Priority support","Shared projects, skills, and instructions"],"components":[{"kind":"fixed","amount":500,"period":"month","currency":"USD"}],"description":"For teams scaling with open models","contactSales":false,"includedLimits":{"usage_credits":"$1,000/month shared"}},{"free":false,"name":"Enterprise","summary":"Custom pricing","features":["Everything in Team, plus","Model access controls","Limit team access to specific models","Set cost budgets for users and API keys","Private Slack channel with dedicated support","Custom security questionnaires"],"description":"For larger teams with volume usage pricing","contactSales":true}],"summary":"Free to start; Pro from $20/mo with $60 usage credits; Max at $100/mo with $300 usage credits; Team at $500/mo with shared $1,000 usage credits; Enterprise with custom pricing","currency":"USD","freeTier":true,"sourceUrl":"https://ollama.com/pricing","retrievedAt":"2026-09-13T19:31:11.705Z","startingPrice":{"amount":20,"period":"month","currency":"USD"},"billingPeriods":["month","year"]}` | `{"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":20,"currency":"USD"}` | - |
| pricing.transparent | yes | yes |
| release.cadence_days | 2 | 12 |
| release.history | `[{"url":"https://github.com/ollama/ollama/releases/tag/v0.40.5-rc0","date":"2026-10-14T19:45:22Z","type":"prerelease","version":"v0.40.5-rc0"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.40.4","date":"2026-10-12T19:00:12Z","type":"stable","version":"v0.40.4"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.40.3","date":"2026-10-11T01:39:04Z","type":"stable","version":"v0.40.3"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.40.2","date":"2026-10-08T16:53:47Z","type":"stable","version":"v0.40.2"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.40.1","date":"2026-10-07T23:22:59Z","type":"stable","version":"v0.40.1"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.40.0","date":"2026-09-25T03:31:52Z","type":"stable","version":"v0.40.0"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.35.1","date":"2026-09-29T20:14:22Z","type":"stable","version":"v0.35.1"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.35.0","date":"2026-09-28T21:23:22Z","type":"stable","version":"v0.35.0"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.34.4","date":"2026-09-23T02:24:43Z","type":"stable","version":"v0.34.4"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.34.3","date":"2026-09-19T00:02:57Z","type":"stable","version":"v0.34.3"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.34.2","date":"2026-09-15T21:21:07Z","type":"stable","version":"v0.34.2"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.34.1","date":"2026-09-14T22:14:03Z","type":"stable","version":"v0.34.1"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.34.0","date":"2026-09-05T23:49:00Z","type":"stable","version":"v0.34.0"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.33.3","date":"2026-09-02T00:11:33Z","type":"stable","version":"v0.33.3"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.33.2","date":"2026-08-27T20:31:47Z","type":"stable","version":"v0.33.2"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.33.1","date":"2026-08-26T18:09:57Z","type":"stable","version":"v0.33.1"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.33.0","date":"2026-08-21T22:52:46Z","type":"stable","version":"v0.33.0"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.32.15","date":"2026-08-19T17:25:16Z","type":"stable","version":"v0.32.15"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.32.14","date":"2026-08-15T19:41:23Z","type":"stable","version":"v0.32.14"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.32.13","date":"2026-08-14T19:16:07Z","type":"stable","version":"v0.32.13"}]` | `[{"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.gdpr | yes | - |
| security.trust_center | - | https://docs.vllm.ai/en/latest/usage/security/ |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=nixpkgs&package_name=ollama&per_page=100","last_12m":0,"max_severity":null}` | `{"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 | Ollama | 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 | Yes | - |

*Source: vioscaleAI. Generated 2026-10-16T09:51:38.768Z. "-" = undocumented, not absent.*