AI Tools · head to head
Replicate vs Together AI
The short version
- Each has a real cost: Replicate private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing; Together AI fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
- They diverge on capability: Replicate covers Model hosting, Together AI covers Open-source models.
Where they differ
Only the attributes on which Replicate and Together AI actually diverge.
| Attribute | Replicate | Together AI |
|---|---|---|
| Founded | 2019 | 2022 |
Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), platforms (Api, Cloud), user rating (Not yet rated), category (AI Tools).
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 Replicate
- Model hosting
- Simple API
- Auto-scaling
- Custom models
- Python client
- JavaScript client
Only in Together AI
- Open-source models
- Fine-tuning
- Fast inference
- Embeddings
- Python SDK
- OpenAI compatible
Both cover
- REST API
- Api support
- Cloud support
What people use each for
The jobs each tool is most often brought in to do.
Replicate
- Running open source machine learning models through a hosted API without managing GPUsnot Together AI
- Deploying and serving a custom or fine tuned model on rented GPU hardwarenot Together AI
- Per second billed batch image, video and language model inferencenot Together AI
Together AI
- Serverless inference against open source chat, vision, embedding, image and video modelsnot Replicate
- Renting dedicated single tenant H100, H200 or B200 GPU clusters by the hournot Replicate
- Fine tuning open weight models on a per token basisnot Replicate
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Replicate
- Private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
- Multi-GPU A100, H100, H200 and L40S capacity beyond the listed configurations is only available with a committed spend contract
- The pricing page publishes no free tier allowance
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
Replicate
Free- FreeFree
- Limited free credits
- Public models
- Pay-per-use$0.000225/per-second
- All models
- Private models
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 Replicate if
- You need model hosting.
- You want to start without paying.
- You work on Api, Cloud.
- You also want simple api.
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 Replicate or Together AI better?
- Neither clearly leads. Replicate 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, Replicate or Together AI?
- Replicate starts at Free and Together AI at Free.
- Does Replicate or Together AI run on more platforms?
- Both run on Api, Cloud, so platform support will not decide this one for you.
- Can I use Replicate for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Replicate best used for?
- Replicate is most often used for running open source machine learning models through a hosted api without managing gpus, deploying and serving a custom or fine tuned model on rented gpu hardware, per second billed batch image, video and language model inference. Of those, running open source machine learning models through a hosted api without managing gpus and deploying and serving a custom or fine tuned model on rented gpu hardware are not what Together AI is typically brought in for.
- What can Replicate do that Together AI cannot?
- Replicate covers Model hosting, Simple API, Auto-scaling, Custom models. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings. Both handle REST API, Api support, Cloud support.
Related pages
More on Together AI
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- Replicate vs Leonardo AI
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- Replicate vs Pi
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- Replicate vs Rytr
- 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 Replika
- Together AI vs Rytr


