Software · head to head
Lambda Labs vs Together AI
The short version
- Only Together AI has a free tier, so it costs nothing to try first.
- Each has a real cost: Lambda Labs on demand capacity is first come access rather than guaranteed, so an instance type can be unavailable when needed; Together AI fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
- They diverge on capability: Lambda Labs covers NVIDIA GPUs, Together AI covers Open-source models.
Where they differ
Only the attributes on which Lambda Labs and Together AI actually diverge.
| Attribute | Lambda Labs | Together AI |
|---|---|---|
| Starting price | $1.1/per-hour | Free |
| Free tier | No | Yes |
| Platforms | Cloud | Api, Cloud |
| Founded | 2012 | 2022 |
Identical on both: pricing model (usage-based), user rating (Not yet rated), category (Unknown).
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 Lambda Labs
- NVIDIA GPUs
- Pre-installed frameworks
- Persistent storage
- SSH access
- JupyterLab
- VSCode
- SSH
Only in Together AI
- Open-source models
- Fine-tuning
- Fast inference
- Embeddings
- REST API
- Python SDK
- OpenAI compatible
- Api support
Both cover
- Cloud support
What people use each for
The jobs each tool is most often brought in to do.
Lambda Labs
- Renting GPU instances for model training and inferencenot Together AI
- Short term access to high memory accelerators without buying hardwarenot Together AI
Together AI
- Serverless inference against open source chat, vision, embedding, image and video modelsnot Lambda Labs
- Renting dedicated single tenant H100, H200 or B200 GPU clusters by the hournot Lambda Labs
- Fine tuning open weight models on a per token basisnot Lambda Labs
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Lambda Labs
- On demand capacity is first come access rather than guaranteed, so an instance type can be unavailable when needed
- H100 pricing varies within a band, at $3.99 to $4.29 an hour per GPU, so the rate is not fixed
- Reserved capacity is arranged by contacting the team rather than self serve
- Prices are quoted before applicable tax
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
Lambda Labs
$1.1/per-hour- On-Demand$1.1/per-hour
- A10 GPU
- Instant availability
- ReservedFree
- Volume discounts
- Guaranteed capacity
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 Lambda Labs if
- You need nvidia gpus.
- You work on Cloud.
- You also want pre-installed frameworks.
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 Lambda Labs or Together AI better?
- Neither clearly leads. Lambda Labs starts at $1.1/per-hour and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Lambda Labs or Together AI?
- Together AI has a free tier; the other does not. Paid plans start at $1.1/per-hour for Lambda Labs and Free for Together AI.
- Does Lambda Labs or Together AI run on more platforms?
- Lambda Labs runs on Cloud. Together AI runs on Api, Cloud.
- Can I use Together AI for free?
- Yes. Together AI has a free tier, so you can try it without paying. Lambda Labs starts at $1.1/per-hour.
- What is Lambda Labs best used for?
- Lambda Labs is most often used for renting gpu instances for model training and inference, short term access to high memory accelerators without buying hardware. Of those, renting gpu instances for model training and inference and short term access to high memory accelerators without buying hardware are not what Together AI is typically brought in for.
- What can Lambda Labs do that Together AI cannot?
- Lambda Labs covers NVIDIA GPUs, Pre-installed frameworks, Persistent storage, SSH access. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings. Both handle Cloud support.
Related pages
More on Lambda Labs
More on Together AI
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