Machine Learning & Data Science · head to head
Comet ML vs Together AI

Comet ML
Machine Learning & Data Science
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention; Together AI fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
- They diverge on capability: Comet ML covers Experiment tracking, Together AI covers Open-source models.
Where they differ
Only the attributes on which Comet ML and Together AI actually diverge.
| Attribute | Comet ML | Together AI |
|---|---|---|
| Pricing model | freemium | usage-based |
| Platforms | Web, Linux, Mac, Windows | Api, Cloud |
| Category | Machine Learning & Data Science | AI Tools |
| Founded | 2017 | 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 Comet ML
- Experiment tracking
- Code versioning
- Model registry
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
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.
Comet ML
- Tracking machine learning experiments, metrics and model versionsnot Together AI
- Monitoring and evaluating LLM applications with tracingnot Together AI
Together AI
- Serverless inference against open source chat, vision, embedding, image and video modelsnot Comet ML
- Renting dedicated single tenant H100, H200 or B200 GPU clusters by the hournot Comet ML
- Fine tuning open weight models on a per token basisnot Comet ML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Comet ML
- The free cloud tier caps data at 25,000 spans a month with 60 day retention
- Retention stays at 60 days even on the paid Pro plan, and extending it is a $29 per 100k spans add on
- Overage on Pro is $5 per additional 100,000 spans
- The free MLOps tier is a single user with 100 GB of storage and training hours governed by a fair usage policy
- Pro MLOps is $19 per user per month and caps the team at 10 users
Together AI
- Fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
- Reserved GPU commitments beyond 180 days are priced by contacting sales with no published rate
- Volume and enterprise discounts are quote only with no published threshold
- Reserved dedicated inference pricing is contact sales while only on demand rates of $5.49 to $8.99 per GPU hour are published
Pricing, plan by plan
Comet ML
Free- FreeFree
- 100 experiments
- Basic features
- Community support
- Team$179/month
- Unlimited experiments
- Team collaboration
- Priority support
Together AI
Free- FreeFree
- $5 credits
- API access
- Pay-per-use$0.2/per-million-tokens
- All models
- Fine-tuning
Which should you pick?
Choose Comet ML if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Linux, Mac, Windows.
- You also want code versioning.
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 Comet ML or Together AI better?
- Neither clearly leads. Comet ML 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, Comet ML or Together AI?
- Comet ML starts at Free and Together AI at Free.
- Does Comet ML or Together AI run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. Together AI runs on Api, Cloud.
- Can I use Comet ML for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Comet ML best used for?
- Comet ML is most often used for tracking machine learning experiments, metrics and model versions, monitoring and evaluating llm applications with tracing. Of those, tracking machine learning experiments, metrics and model versions and monitoring and evaluating llm applications with tracing are not what Together AI is typically brought in for.
- What can Comet ML do that Together AI cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.
Related pages
More on Together AI
Other head to heads
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- Comet ML vs Azure Machine Learning
- Comet ML vs DataRobot
- Comet ML vs Snowflake
- Comet ML vs TensorFlow
- Comet ML vs Keras
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- Comet ML vs Fathom
- Comet ML vs Stable Diffusion
- Comet ML vs AI21 Labs
- Comet ML vs ChatGPT
- Comet ML vs Copy.ai
- Comet ML vs HeyGen
- Comet ML vs Jasper
- Comet ML vs Leonardo AI
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- Comet ML vs Perplexity
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- Comet ML vs Replicate
- Comet ML vs Replika
- Comet ML vs Rytr
- Together AI vs AWS SageMaker
- Together AI vs Google Vertex AI
- Together AI vs Azure Machine Learning
- Together AI vs DataRobot
- Together AI vs Snowflake
- Together AI vs TensorFlow
- Together AI vs Keras
- Together AI vs MLflow
- Together AI vs Jupyter
- Together AI vs PyTorch
- Together AI vs scikit-learn
- Together AI vs Apache Spark MLlib
- Together AI vs Weights & Biases
- Together AI vs Alteryx
- Together AI vs Anaconda
- Together AI vs Databricks
- Together AI vs Dataiku
- Together AI vs DVC
- Together AI vs Pika
- Together AI vs Anthropic API
- Together AI vs D-ID
- Together AI vs Fathom
- Together AI vs Stable Diffusion
- Together AI vs AI21 Labs
- Together AI vs ChatGPT
- Together AI vs Copy.ai
- Together AI vs HeyGen
- Together AI vs Jasper
- Together AI vs Leonardo AI
- Together AI vs Murf
- Together AI vs Perplexity
- Together AI vs Pi
- Together AI vs Play.ht
- Together AI vs Replicate
- Together AI vs Replika
- Together AI vs Rytr

