Cloud · head to head
Lambda vs Together AI

Lambda
Cloud
GPU supercomputers for AI training and inference at enterprise scale
- From
- On request
- Rated
- -
The short version
- Only Together AI has a free tier, so it costs nothing to try first.
- Each has a real cost: Lambda no free tier or trial, requiring immediate commitment for testing; Together AI free tier limits not clearly specified in pricing documentation
- They diverge on capability: Lambda covers Superclusters, Together AI covers Open-source models.
Where they differ
Only the attributes on which Lambda and Together AI actually diverge.
| Attribute | Lambda | Together AI |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | Pay-as-you-go hourly pricing with volume discounts for reserved capacity | usage-based |
| Free tier | No | Yes |
| Platforms | Cloud | Api, Cloud |
| Category | Cloud | AI |
| Founded | 2012 | 2022 |
Identical on both: 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 Lambda
- Superclusters
- 1-Click Clusters
- On-demand instances
- Liquid cooling
- InfiniBand networking
- Managed orchestration
- Co-engineering support
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.
Lambda
- Training foundation models at scale with dedicated GPU infrastructurenot Together AI
- Large-scale inference serving on enterprise-grade hardwarenot Together AI
- Multi-GPU distributed training with InfiniBand networkingnot Together AI
- Single-tenant secure compute for regulated industriesnot Together AI
- AI lab infrastructure for frontier model developmentnot Together AI
Together AI
- LLM inference for production AI applicationsnot Lambda
- Content generation at scalenot Lambda
- Code execution and embeddingsnot Lambda
- Model fine-tuning and trainingnot Lambda
- Startup and enterprise AI deploymentnot Lambda
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Lambda
- No free tier or trial, requiring immediate commitment for testing
- Single-tenant Superclusters require custom pricing discussions
- Pricing complexity across multiple GPU types and cluster sizes
- Less suitable for experimentation or small teams with tight budgets
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
Lambda
On request- 1-Click Clusters B200$undefined/hourly
- 16 GPUs: $9.86/GPU/hour
- 256+ GPUs: $8.87/GPU/hour
- 1-year+ reserved discounts available
- 1-Click Clusters H100$undefined/hourly
- 16 GPUs: $6.16/GPU/hour
- 256+ GPUs: $5.54/GPU/hour
- On-Demand Instances B200$undefined/hourly
- SXM6: $6.69/GPU/hour
- On-Demand Instances H100$undefined/hourly
- SXM: $3.99/GPU/hour
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 Lambda if
- You need superclusters.
- You work on Cloud.
- You also want 1-click clusters.
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 or Together AI better?
- Neither clearly leads. Lambda starts at On request and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Lambda or Together AI?
- Together AI has a free tier; the other does not. Paid plans start at On request for Lambda and Free for Together AI.
- Does Lambda or Together AI run on more platforms?
- Lambda 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 starts at On request.
- What is Lambda best used for?
- Lambda is most often used for training foundation models at scale with dedicated gpu infrastructure, large-scale inference serving on enterprise-grade hardware, multi-gpu distributed training with infiniband networking, single-tenant secure compute for regulated industries. Of those, training foundation models at scale with dedicated gpu infrastructure and large-scale inference serving on enterprise-grade hardware are not what Together AI is typically brought in for.
- What can Lambda do that Together AI cannot?
- Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.
Answered from the vendors’ own pages
Lambda: What makes Lambda's infrastructure different?
Lambda offers single-tenant Superclusters with exclusive GPU access, liquid cooling, and NVIDIA Quantum-2 InfiniBand networking. The company is 100% focused on AI infrastructure with co-engineering support from teams who built infrastructure for major AI labs.
SourceTogether 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.
SourceLambda: How does pricing work for large clusters?
1-Click Clusters pricing ranges from $5.54-$9.86 per GPU/hour depending on GPU type and cluster size, with volume discounts for 256+ GPUs. Reserved capacity is available at custom pricing for 1-year+ commitments.
SourceTogether 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.
SourceLambda: Which GPU types are available?
Lambda offers NVIDIA B200, H100, A100, and Tesla V100 GPUs. Individual instances range from V100 at $0.79/hour to B200 SXM6 at $6.69/hour. Newer models like Vera Rubin are available in Superclusters.
SourceTogether 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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