# BentoML vs Together AI

**Leader by Vioscale score:** Together AI

| Attribute | BentoML | Together AI |
|---|---|---|
| **Vioscale score** | 58.1 (43% (low)) | 72.8 (60% (medium)) |
| activity.commits_last_30d | 3 | - |
| adoption.dependent_repos | 499 | - |
| adoption.github_stars | 8,807 | - |
| deployment.options | `{"cloud":true,"hybrid":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true}` |
| description.long | An open-source framework for packaging, deploying, and managing AI model inference at scale, supporting any model architecture or framework with options for cloud or on-premises deployment. | Together AI provides cloud infrastructure for hosting and serving open-source language, image, audio, and video models through serverless inference, reserved capacity, and dedicated GPU instances. The platform includes fine-tuning capabilities, batch processing, managed storage, and GPU cluster support for custom model development and training—eliminating the need for users to manage underlying infrastructure. |
| features.capabilities | `{"role":"platform","open_source":true,"managed_cloud":true,"model_serving":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"dynamic_batching":true,"gpu_acceleration":true,"llm_observability":true,"framework_agnostic":true,"multi_model_serving":true,"multi_gpu_multi_node":true,"multi_framework_support":true}` | `{"role":"platform","evaluation":false,"soc2_type_ii":false,"compute_model":"multi_tenant_hybrid","managed_cloud":true,"model_serving":true,"pricing_model":"per_million_tokens","self_hostable":false,"multi_provider":true,"vpc_deployment":true,"otel_compatible":false,"no_train_on_data":"yes","llm_observability":false,"prompt_management":false,"framework_agnostic":true,"experiment_tracking":false,"openai_compatible_rest_api_schema":false,"bring_your_own_weights_byow_hosting":true,"dynamic_batching_and_kv_cache_management":false,"massive_context_window_support_100k_plus":false,"hipaa_baa_compliance_for_medical_inference":false,"multimodal_vision_and_audio_in_out_support":true,"native_function_calling_and_strict_json_mode":false,"streaming_server_sent_events_sse_token_yield":false,"lpu_or_custom_silicon_for_extreme_low_latency":false,"zero_data_retention_training_opt_out_enterprise":true}` |
| language.primary | Python | - |
| license.spdx | Apache-2.0 | - |
| market.availability | - | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | - | `{"cli":true,"web":true}` |
| pricing | `{"type":"hybrid","freeTier":true,"sourceUrl":"https://www.bentoml.com","retrievedAt":"2026-08-21T13:19:12.207Z"}` | `{"type":"usage","plans":[{"free":false,"name":"Serverless Inference","summary":"From $0.00014–$15/1M tokens depending on model. Pay only for usage.","features":["50+ open-source models","Variable pricing by model and token type","Batch API support","Private endpoints"],"components":[{"per":{"qty":1000000,"unit":"tokens"},"kind":"metered","amount":0.00014,"currency":"USD"}],"contactSales":false},{"free":false,"name":"Provisioned Throughput","summary":"Reserved throughput capacity with 99% SLA. PTU-based pricing structure.","features":["Reserved token capacity","99% uptime SLA","Token-based pricing model","Production-grade reliability"],"commitment":"monthly","contactSales":false},{"free":false,"name":"Dedicated Inference","summary":"$3.69–$8.99 per GPU per hour (on-demand); reserved discounts available.","features":["Single-tenant GPU instances","Guaranteed performance (no resource sharing)","Custom model support","Autoscaling for traffic spikes"],"commitment":"monthly","components":[{"kind":"fixed","amount":3.69,"period":"hour","currency":"USD"}],"contactSales":false}],"addOns":[{"name":"Fine-Tuning","components":[{"per":{"qty":1000000,"unit":"tokens"},"kind":"metered","amount":0.48,"currency":"USD"}]},{"name":"Managed Storage"},{"name":"GPU Clusters"}],"summary":"Usage-based pricing starting from $0.00014/1M tokens for serverless inference. Reserved capacity and dedicated GPU instances available; on-demand GPU pricing from $3.69/hour.","currency":"USD","freeTier":false,"sourceUrl":"https://www.together.ai/pricing","retrievedAt":"2026-08-21T12:44:34.463Z","startingPrice":{"unit":"tokens","amount":0.00014,"currency":"USD"},"billingPeriods":["month"]}` |
| pricing.free_tier | yes | no |
| pricing.model | commercial | commercial |
| pricing.price_level | low | low |
| pricing.starting_price | - | `{"amount":0.00014,"currency":"USD"}` |
| pricing.transparent | - | yes |
| release.cadence_days | 12 | - |
| release.history | `[{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.39","date":"2026-05-07T10:37:29Z","type":"stable","version":"v1.4.39"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.38","date":"2026-04-02T06:12:17Z","type":"stable","version":"v1.4.38"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.37","date":"2026-03-25T01:20:40Z","type":"stable","version":"v1.4.37"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.36","date":"2026-03-06T04:25:28Z","type":"stable","version":"v1.4.36"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.35","date":"2026-02-03T05:06:31Z","type":"stable","version":"v1.4.35"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.34","date":"2026-01-26T03:19:56Z","type":"stable","version":"v1.4.34"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.33","date":"2026-01-12T10:26:47Z","type":"stable","version":"v1.4.33"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.32","date":"2026-01-09T02:22:49Z","type":"stable","version":"v1.4.32"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.31","date":"2025-12-23T06:51:00Z","type":"stable","version":"v1.4.31"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.30","date":"2025-11-27T03:15:11Z","type":"stable","version":"v1.4.30"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.29","date":"2025-11-17T12:02:22Z","type":"stable","version":"v1.4.29"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.28","date":"2025-10-29T06:09:36Z","type":"stable","version":"v1.4.28"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.27","date":"2025-10-20T06:57:33Z","type":"stable","version":"v1.4.27"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.26","date":"2025-10-10T07:28:39Z","type":"stable","version":"v1.4.26"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.25","date":"2025-09-24T08:51:56Z","type":"stable","version":"v1.4.25"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.24","date":"2025-09-17T09:30:34Z","type":"stable","version":"v1.4.24"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.23","date":"2025-09-05T00:51:38Z","type":"stable","version":"v1.4.23"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.22","date":"2025-08-27T01:20:34Z","type":"stable","version":"v1.4.22"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.21","date":"2025-08-14T01:07:36Z","type":"stable","version":"v1.4.21"},{"url":"https://github.com/bentoml/BentoML/releases/tag/v1.4.20","date":"2025-08-13T08:02:48Z","type":"stable","version":"v1.4.20"}]` | - |
| reliability.sla_pct | - | 99 |
| reliability.status_page | yes | yes |
| security.disclosure_policy | - | yes |
| security.gdpr | - | yes |
| security.iso27001 | - | yes |
| security.scorecard | 7 | - |
| security.soc2 | - | yes |
| security.vulnerabilities | `{"count":16,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=bentoml&per_page=100","last_12m":8,"max_severity":"CRITICAL"}` | - |

## Capabilities (MLOps & LLMOps Tools)

| Capability | BentoML | Together AI |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | End-to-end ML platform | 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 | - | Yes |

*Source: Vioscale. Generated 2026-09-01T15:13:56.450Z. "-" = undocumented, not absent.*