# Replicate vs vLLM

**Leader by Vioscale score:** vLLM

| Attribute | Replicate | vLLM |
|---|---|---|
| **Vioscale score** | 52 (41% (low)) | 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,"on_prem":true,"self_hosted":true}` | `{"cloud":true,"on_prem":true,"self_hosted":true}` |
| description.long | Replicate is an infrastructure platform that lets you run state-of-the-art AI models through a simple API or deploy your own custom models. It automatically handles containerization, scaling, and resource allocation, charging only for compute used. | 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","compute_model":"serverless_per_token","managed_cloud":true,"model_serving":true,"pricing_model":"per_compute_hour","self_hostable":true,"multi_provider":true,"vpc_deployment":true,"no_train_on_data":"unknown","llm_observability":true,"framework_agnostic":true,"experiment_tracking":true,"bring_your_own_weights_byow_hosting":true,"multimodal_vision_and_audio_in_out_support":true,"lpu_or_custom_silicon_for_extreme_low_latency":false}` | `{"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 | 8 | 29 |
| integrations.list | `[{"name":"Google"},{"name":"OpenAI"},{"name":"ByteDance"},{"name":"Black Forest Labs"},{"name":"HuggingFace"},{"name":"Anthropic"},{"name":"Alibaba"},{"name":"Krea"},{"name":"GitHub"},{"name":"Docker"}]` | `[{"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 | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"linux":true}` |
| pricing | `{"type":"usage","plans":[{"name":"Public Models","summary":"Per-token or per-output pricing varies by model","features":["Run public models","Text-to-image generation","Image editing and restoration","Video generation","Speech generation","Large language models","Music generation"],"components":[{"per":{"qty":1000,"unit":"output tokens"},"kind":"metered","amount":0.015,"currency":"USD"},{"per":{"qty":1000000,"unit":"input tokens"},"kind":"metered","amount":3,"currency":"USD"},{"kind":"per_unit","unit":"image","amount":0.04,"period":"per_output","currency":"USD"},{"kind":"per_unit","unit":"video","amount":0.09,"period":"per_second","currency":"USD"}],"description":"Thousands of open-source and proprietary models billed by execution time or output tokens/images","contactSales":false},{"free":false,"name":"Private Models","summary":"$0.09–$20.16/hr depending on hardware","features":["Dedicated hardware (no shared queue)","Auto-scaling","Custom model deployment","Hourly billing available"],"components":[{"kind":"per_unit","unit":"CPU (Small)","amount":0.000025,"period":"second","currency":"USD"},{"kind":"per_unit","unit":"CPU","amount":0.0001,"period":"second","currency":"USD"},{"kind":"per_unit","unit":"Nvidia A100 (80GB)","amount":0.0014,"period":"second","currency":"USD"},{"kind":"per_unit","unit":"Nvidia H100","amount":0.001525,"period":"second","currency":"USD"},{"kind":"per_unit","unit":"Nvidia L40S","amount":0.000975,"period":"second","currency":"USD"},{"kind":"per_unit","unit":"Nvidia T4","amount":0.000225,"period":"second","currency":"USD"}],"description":"Deploy custom models on dedicated hardware. Billed for all uptime (setup, idle, and processing)","contactSales":false},{"free":false,"name":"Fast Booting Fine-Tunes","summary":"Active processing time only","features":["Fine-tuned model deployment","No idle time billing"],"description":"Private fine-tuned models billed only for active processing time (no idle time charges)","contactSales":false}],"addOns":[{"name":"Multi-GPU A100 Capacity","components":[{"kind":"per_unit","unit":"4x Nvidia A100 (80GB)","amount":0.0056,"period":"second","currency":"USD"},{"kind":"per_unit","unit":"8x Nvidia A100 (80GB)","amount":0.0112,"period":"second","currency":"USD"}]},{"name":"Multi-GPU H100 Capacity","components":[{"kind":"per_unit","unit":"2x Nvidia H100","amount":0.00305,"period":"second","currency":"USD"},{"kind":"per_unit","unit":"4x Nvidia H100","amount":0.0061,"period":"second","currency":"USD"},{"kind":"per_unit","unit":"8x Nvidia H100","amount":0.0122,"period":"second","currency":"USD"}]}],"summary":"Usage-based: public models from $0.01–$0.25 per output token/image/second; private models from $0.09–$40.32/hr. Free tier available.","currency":"USD","freeTier":true,"sourceUrl":"https://replicate.com","retrievedAt":"2026-08-03T22:46:21.215Z","startingPrice":{"amount":0.000025,"period":"month","currency":"USD"}}` | `{"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 | unknown | free |
| pricing.transparent | no | 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.status_page | 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 | Replicate | 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 | Unknown | - |

*Source: Vioscale. Generated 2026-09-01T17:05:12.025Z. "-" = undocumented, not absent.*