Machine Learning · head to head
ClearML vs Together AI

ClearML
Machine Learning
Open-source MLOps platform for experiment tracking and orchestration
- From
- Free
- Rated
- -
The short version
- Each has a real cost: ClearML broad scope means more to learn and more to run than a focused tracking tool; Together AI free tier limits not clearly specified in pricing documentation
- They diverge on capability: ClearML covers Experiment tracking, Together AI covers Open-source models.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which ClearML and Together AI actually diverge.
| Attribute | ClearML | Together AI |
|---|---|---|
| Pricing model | Open-source self-hosted, with paid hosted and enterprise tiers | usage-based |
| Platforms | Linux, macOS, Windows, Docker, Kubernetes | Api, Cloud |
| Category | Machine Learning | AI |
| Founded | Unknown | 2022 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in ClearML
- Experiment tracking
- Remote execution
- Data versioning
- Pipelines
Only in Together AI
- Open-source models
- Fine-tuning
- Fast inference
- Embeddings
- REST API
- Python SDK
- OpenAI compatible
- Api support
What people use each for
The jobs each tool is most often brought in to do.
ClearML
- Tracking experiments across a team so results are reproduciblenot Together AI
- Moving training from laptops to shared GPU hardware without repackagingnot Together AI
- Versioning datasets alongside the experiments that consumed themnot Together AI
Together AI
- LLM inference for production AI applicationsnot ClearML
- Content generation at scalenot ClearML
- Code execution and embeddingsnot ClearML
- Model fine-tuning and trainingnot ClearML
- Startup and enterprise AI deploymentnot ClearML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
ClearML
- Broad scope means more to learn and more to run than a focused tracking tool
- Self-hosting the server is real infrastructure — database, file storage and web server
- Documentation quality is uneven across the newer parts of the platform
- Smaller community than the most popular tracking tools, so fewer worked examples exist
Together AI
- Free tier limits not clearly specified in pricing documentation
- Pricing varies significantly by model and use case
- Requires account setup for production access
- Batch API discounts apply only to non-urgent workloads
Pricing, plan by plan
ClearML
Free- Open sourceFree
- Experiment tracking
- Pipelines
- Self-hosted server
Together AI
Free- Serverless Inference$0.03/1M input tokens
- Chat and Vision models
- Image generation
- Video generation
- Provisioned Throughput$21600/month
- Up to 83% savings vs commercial alternatives
- Reserved capacity
- Guaranteed throughput
- Dedicated Inference$5.49/hour
- H100 GPU instance
- Single-tenant deployment
- No resource sharing
- GPU Clusters$3.99/GPU-hour
- On-demand capacity
- Volume discounts available
- Reserved options with up to 35% savings
Which should you pick?
Choose ClearML if
- You need experiment tracking.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Kubernetes.
- You also want remote execution.
Choose Together AI if
- You need open-source models.
- You want to start without paying.
- You work on Api, Cloud.
- You also want fine-tuning.
Questions people ask
- Is ClearML or Together AI better?
- Neither clearly leads. ClearML starts at Free and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClearML or Together AI?
- ClearML starts at Free and Together AI at Free.
- Does ClearML or Together AI run on more platforms?
- ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Together AI runs on Api, Cloud.
- Can I use ClearML for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is ClearML best used for?
- ClearML is most often used for tracking experiments across a team so results are reproducible, moving training from laptops to shared gpu hardware without repackaging, versioning datasets alongside the experiments that consumed them. Of those, tracking experiments across a team so results are reproducible and moving training from laptops to shared gpu hardware without repackaging are not what Together AI is typically brought in for.
- What can ClearML do that Together AI cannot?
- ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.
Answered from the vendors’ own pages
ClearML: Is ClearML free?
The open-source version is free and self-hostable. Hosted and enterprise tiers are paid.
Together AI: Does Together AI offer a free tier?
Yes, Together AI advertises 'Start for free, scale on demand,' but specific free tier usage limits are not detailed on the pricing page.
SourceClearML: How much code does tracking require?
Very little — adding a couple of lines to an existing training script captures parameters, metrics and environment automatically.
Together AI: What are Together AI's highest model prices?
Serverless inference pricing ranges from free for base models up to $4.40 per 1M input tokens for premium models. Video generation costs $0.14 to $3.20 per video depending on resolution.
SourceClearML: Does ClearML replace MLflow?
It covers MLflow’s tracking and adds orchestration, remote execution and data versioning. Whether that breadth is an advantage or extra weight depends on whether you need the rest.
Together AI: How much can I save with Provisioned Throughput?
Together AI offers up to 83% savings compared to commercial alternatives when using their Provisioned Throughput option with reserved capacity.
SourceTogether AI: What is Together AI's fine-tuning pricing?
Standard fine-tuning costs $0.48 to $2.90 per 1M tokens depending on model size, with a minimum charge of $4.00 per job.
SourceRelated pages
More on Together AI
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- Together AI vs Dataiku
- Together AI vs Pachyderm
- Together AI vs Azure Machine Learning
- Together AI vs Domino Data Lab
- Together AI vs DVC
- Together AI vs AWS SageMaker
- Together AI vs Google Vertex AI
- Together AI vs DataRobot
- Together AI vs Pinecone
- Together AI vs Python
- Together AI vs PyTorch
- Together AI vs scikit-learn
- Together AI vs Apache Spark MLlib
- Together AI vs Weaviate
- Together AI vs Anthropic API
- Together AI vs Fathom
- Together AI vs Pika
- Together AI vs D-ID
- Together AI vs Aider
- Together AI vs Stable Diffusion
- Together AI vs Replicate
- Together AI vs LangGraph
- Together AI vs AutoGen
- Together AI vs Helicone
- Together AI vs AI21 Labs
- Together AI vs Poolside
- Together AI vs Banana
- Together AI vs C3 AI Suite
- Together AI vs Character.AI
- Together AI vs Chatbase
- Together AI vs Copilotly
- Together AI vs Claude

