AI · 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 free tier limits not clearly specified in pricing documentation
- They diverge on capability: Replicate covers Model hosting, 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 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).
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
- LLM inference for production AI applicationsnot Replicate
- Content generation at scalenot Replicate
- Code execution and embeddingsnot Replicate
- Model fine-tuning and trainingnot Replicate
- Startup and enterprise AI deploymentnot 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
- 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
Replicate
Free- Pay-as-you-go$null/usage
- Billed by execution time for public models
- CPU Small: $0.000025/second ($0.09/hour)
- 8x Nvidia A100 GPUs: $0.0112/second ($40.32/hour)
- Enterprise$null/custom
- Dedicated account manager
- Priority support
- Higher GPU limits
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 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.
Answered from the vendors’ own pages
Replicate: How much does Replicate cost?
Replicate uses pay-as-you-go pricing based on model execution time and compute type. Costs range from $0.09/hour for CPU (Small) to $40.32/hour for 8x Nvidia A100 GPUs. Some models charge per input/output tokens instead of time.
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.
SourceReplicate: Does Replicate offer a free tier?
Yes, Replicate is free to start with pay-as-you-go pricing. There are no subscription tiers or minimum commitments; you pay only for what you use.
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.
SourceReplicate: What is the difference between public and private models?
Public models are billed by execution time. Private models are billed for all instance uptime including setup, idle, and active processing time, except for fast-booting fine-tunes which are billed only during active processing.
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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