# MLflow vs Together AI

| Attribute | MLflow | Together AI |
|---|---|---|
| **Vioscale score** | 76.2 (63% (medium)) | 72.8 (60% (medium)) |
| activity.commits_last_30d | 100 | - |
| adoption.dependent_repos | 5,089 | - |
| adoption.github_stars | 27,687 | - |
| adoption.package_downloads_weekly | 9,993,245 | - |
| deployment.options | `{"on_prem":true,"self_hosted":true}` | `{"cloud":true}` |
| description.long | 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 | 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","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,"organization_wide_cost_tracking_and_chargebacks":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}` |
| integrations.count | 15 | - |
| integrations.list | `[{"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"}]` | - |
| language.primary | Python | - |
| license.spdx | Apache-2.0 | - |
| market.availability | - | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://mlflow.org","retrievedAt":"2026-08-14T21:35:48.733Z"}` | `{"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 | free | low |
| pricing.starting_price | - | `{"amount":0.00014,"currency":"USD"}` |
| pricing.transparent | yes | yes |
| release.cadence_days | 10 | - |
| 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/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"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.9.0","date":"2026-01-29T08:49:56Z","type":"stable","version":"v3.9.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.9.0rc0","date":"2026-01-16T04:48:57Z","type":"prerelease","version":"v3.9.0rc0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.8.1","date":"2025-12-27T02:56:22Z","type":"stable","version":"v3.8.1"}]` | - |
| reliability.sla_pct | - | 99 |
| reliability.status_page | - | yes |
| security.disclosure_policy | - | yes |
| security.gdpr | - | yes |
| security.iso27001 | - | yes |
| security.scorecard | 5.5 | - |
| security.soc2 | - | yes |
| security.vulnerabilities | `{"count":80,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=mlflow&per_page=100","last_12m":27,"max_severity":"CRITICAL"}` | - |

## Capabilities (MLOps & LLMOps Tools)

| Capability | MLflow | 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 2026-09-01T15:20:09.019Z. "-" = undocumented, not absent.*