vioscaleAI
Comparison

MLflow vs Together AI

On the evidence we track, Together AI leads this comparison with a composite score of 77/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

MLflow full profile →Together AI full profile →
Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
MLflow70
★Together AI77
Score
vioscaleAI score
MLflow70 / 100medium · 67%
Together AI77 / 100medium · 59%
Pricing
Free tier
MLflow✓
Together AI✓
Model
MLflowopen_source
Together AIfreemium
Price level
MLflowfree
Together AIlow
Starting price
MLflow–
Together AI$0.00
Transparent
MLflow✓
Together AI✓
Integrations
Count
MLflow9
Together AI–
Security
Disclosure policy
MLflow–
Together AI✓
Gdpr
MLflow–
Together AI✓
Iso27001
MLflow–
Together AI✓
Scorecard
MLflow5.4
Together AI–
Soc2
MLflow–
Together AI✓
Trust center
Vulnerabilities
Reliability
Sla pct
MLflow–
Together AI99
Status page
MLflow–
Together AI✓
Adoption
Dependent repos
MLflow5,089
Together AI–
Github stars
MLflow28,260
Together AI–
Package downloads weekly
MLflow9,993,245
Together AI–
Activity
Commits last 30d
MLflow100
Together AI–
Release
Cadence days
MLflow9
Together AI–
History
MLflow20 items
Together AI–
License
Spdx
MLflowApache-2.0
Together AI–
Language
Primary
MLflowPython
Together AI–
Market
Availability
Content
Faq
MLflow6 items
Together AI6 items

Capabilities

Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.

Core
Tool role
MLflowEnd-to-end ML platform
Together AIEnd-to-end ML platform
Deployment
Self-hostable / OSS core
MLflow✓
Together AI✗
Managed cloud available
MLflow✓
Together AI✓
On-prem / VPC deployment
MLflow✓
Together AI✓
Observability
LLM tracing / observability
MLflow✓
Together AI✗
Evaluation (offline / LLM-judge / human)
MLflow✓
Together AI✓
Dev
Prompt management + versioning
MLflow✓
Together AI✗
Tracking
Experiment tracking / model registry
MLflow✓
Together AI✗
Serving
Model serving / inference endpoint
MLflow✓
Together AI✓
Interop
OpenTelemetry / OpenLLMetry compatible
MLflow✓
Together AI✗
Framework-agnostic
MLflow✓
Together AI✓
Gateway
Multi-provider model support
MLflow✓
Together AI✓
Data
No-train-on-customer-data guarantee
MLflow-
Together AIYes

What each one is

The product in its own terms, so the numbers below have context.

MLflow

A comprehensive platform that helps teams debug, evaluate, monitor, and optimize production AI applications. Provides experiment tracking, prompt management, model deployment, systematic evaluation tools, and a unified API gateway for managing access to multiple LLM providers with cost controls.

Independently observed

Together AI

Leader

Together AI provides cloud infrastructure for deploying, fine-tuning, and training open-source AI models. It offers flexible deployment options including serverless inference, batch processing, reserved throughput, and dedicated GPU instances with optimized performance and cost efficiency.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

MLflow

Open source
as of verify ↗

Together AI

Leader
from $0.00/million tokensUsage-basedFree tier

Pay-per-token usage starting from $0.0015 per 1M tokens. Free tier available. Dedicated instances and reserved throughput available upon request.

  • BuildFree
    • Discord community support
  • ScaleFrom $0.0015 per 1M tokens
    • Serverless inference
    • Batch API
    • Standard Support (business hours)
  • EnterpriseContact sales
    • Provisioned throughput
    • Dedicated GPU instances
    • Silver/Gold Support
    • Dedicated support engineer
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
MLflow✓
Together AI✓
CLI
MLflow✓
Together AI✓
Deployment
Cloud / SaaS
MLflow✓
Together AI✓
Self-hosted
MLflow✓
Together AI✗
On-premise
MLflow✓
Together AI✗

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

MLflow

32 total
  • Databricks
  • AWS S3
  • Google Cloud Storage
  • Azure Storage
  • AzureML
  • Kubernetes
  • LangChain
  • Pydantic AI
  • Anthropic Claude
  • OpenAI
  • Google Gemini
  • SAP AI Core
  • JFrog
  • Aliyun
  • PostgreSQL
  • MySQL
  • MSSQL
  • Claude Code
  • OpenAI Codex
  • Gemini
  • Anthropic
  • Ollama
  • OpenClaw
  • Qwen Code
  • +8 more
Independently observed

Together AI

Leader

Not documented yet.

Still deciding?

MLflow or Together AI: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.