# Replicate vs Weights & Biases

**Leader by Vioscale score:** Weights & Biases

| Attribute | Replicate | Weights & Biases |
|---|---|---|
| **Vioscale score** | 52 (41% (low)) | 67.2 (38% (low)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 9,299 |
| adoption.github_stars | - | 11,240 |
| 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 integrated platform for developing AI applications, from training and fine-tuning models to deploying agents in production, with comprehensive experiment tracking, model management, and LLM application monitoring. |
| 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":"platform","evaluation":true,"managed_cloud":true,"model_serving":true,"self_hostable":true,"vpc_deployment":true,"llm_observability":true,"prompt_management":true,"framework_agnostic":true,"experiment_tracking":true}` |
| integrations.count | 8 | 8 |
| 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":"OpenAI"},{"name":"Alibaba Qwen"},{"name":"Meta Llama"},{"name":"Microsoft Phi"},{"name":"Hangzhou DeepSeek"},{"name":"Z.ai GLM"},{"name":"MoonshotAI Kimi"},{"name":"CoreWeave"}]` |
| language.primary | - | Python |
| license.spdx | - | MIT |
| market.availability | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"ios":true,"web":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"}}` | - |
| pricing.free_tier | yes | - |
| pricing.model | commercial | commercial |
| pricing.price_level | unknown | - |
| pricing.transparent | no | - |
| release.cadence_days | - | 16 |
| release.history | - | `[{"url":"https://github.com/wandb/wandb/releases/tag/v0.28.2","date":"2026-08-12T01:35:26Z","type":"stable","version":"v0.28.2"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.28.1","date":"2026-07-16T18:48:24Z","type":"stable","version":"v0.28.1"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.28.0","date":"2026-06-23T00:46:58Z","type":"stable","version":"v0.28.0"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.27.2","date":"2026-06-06T01:48:49Z","type":"stable","version":"v0.27.2"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.27.1","date":"2026-06-04T06:12:42Z","type":"stable","version":"v0.27.1"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.27.0","date":"2026-05-14T03:45:43Z","type":"stable","version":"v0.27.0"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.26.1","date":"2026-04-23T16:40:38Z","type":"stable","version":"v0.26.1"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.26.0","date":"2026-04-13T19:45:29Z","type":"stable","version":"v0.26.0"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.25.1","date":"2026-03-10T23:54:02Z","type":"stable","version":"v0.25.1"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.25.0","date":"2026-02-13T19:44:06Z","type":"stable","version":"v0.25.0"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.24.2","date":"2026-02-05T00:19:26Z","type":"stable","version":"v0.24.2"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.24.1","date":"2026-01-29T23:47:48Z","type":"stable","version":"v0.24.1"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.24.0","date":"2026-01-13T23:01:48Z","type":"stable","version":"v0.24.0"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.23.1","date":"2025-12-03T02:27:21Z","type":"stable","version":"v0.23.1"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.23.0","date":"2025-11-11T21:27:15Z","type":"stable","version":"v0.23.0"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.22.3","date":"2025-10-29T00:00:30Z","type":"stable","version":"v0.22.3"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.22.2","date":"2025-10-07T19:55:36Z","type":"stable","version":"v0.22.2"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.22.1","date":"2025-09-29T17:18:23Z","type":"stable","version":"v0.22.1"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.22.0","date":"2025-09-18T20:09:42Z","type":"stable","version":"v0.22.0"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.21.4","date":"2025-09-11T21:24:51Z","type":"stable","version":"v0.21.4"}]` |
| reliability.status_page | yes | yes |
| security.disclosure_policy | - | yes |
| security.gdpr | - | yes |
| security.hipaa | - | yes |
| security.iso27001 | - | yes |
| security.soc2 | - | yes |
| security.vulnerabilities | - | `{"count":1,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=wandb&per_page=100","last_12m":0,"max_severity":"HIGH"}` |

## Capabilities (MLOps & LLMOps Tools)

| Capability | Replicate | Weights & Biases |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Model serving | End-to-end ML platform |
| **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 2026-09-01T16:35:02.947Z. "-" = undocumented, not absent.*