Automation Integration · head to head
Prefect vs Together AI

Prefect
Automation Integration
Python-first workflow orchestration that heals itself
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Prefect limited to Python-based workflows; other languages require API calls; Together AI free tier limits not clearly specified in pricing documentation
- They diverge on capability: Prefect covers Python function decorators, Together AI covers Open-source models.
Where they differ
Only the attributes on which Prefect and Together AI actually diverge.
| Attribute | Prefect | Together AI |
|---|---|---|
| Pricing model | Freemium with per-user and usage-based tiers | usage-based |
| Platforms | Cloud, Self-hosted, VPC | Api, Cloud |
| Category | Automation Integration | AI |
| Founded | Unknown | 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 Prefect
- Python function decorators
- Automatic resilience
- Flexible deployment
- Observable execution
- Multiple scheduling
- Webhooks
- Open-source core
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.
Prefect
- Orchestrating data pipeline workflows in Pythonnot Together AI
- Managing ML model training and inference jobsnot Together AI
- Building ETL and event-driven automationnot Together AI
- Monitoring and alerting on workflow healthnot Together AI
Together AI
- LLM inference for production AI applicationsnot Prefect
- Content generation at scalenot Prefect
- Code execution and embeddingsnot Prefect
- Model fine-tuning and trainingnot Prefect
- Startup and enterprise AI deploymentnot Prefect
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Prefect
- Limited to Python-based workflows; other languages require API calls
- Hobby free tier severely limited for production use
- Team plan billing per user scales quickly with team size
- Less visual workflow builder compared to some competitors
- Smaller ecosystem of pre-built connectors than alternatives
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
Prefect
Free- HobbyFree
- 2 users and 5 deployments
- 500 minutes serverless monthly
- 7-day run retention
- Starter$100/month
- 3 users and 20 deployments
- 75 hours serverless compute
- Bring-your-own infrastructure
- Team$100/user/month
- 4-8 users per plan tier
- 100 deployments
- 225 hours serverless monthly
- Enterprise$null/custom
- SSO and SAML authentication
- Role-based access control
- Multiple workspaces
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 Prefect if
- You need python function decorators.
- You want to start without paying.
- You work on Cloud, Self-hosted, VPC.
- You also want automatic resilience.
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 Prefect or Together AI better?
- Neither clearly leads. Prefect 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, Prefect or Together AI?
- Prefect starts at Free and Together AI at Free.
- Does Prefect or Together AI run on more platforms?
- Prefect runs on Cloud, Self-hosted, VPC. Together AI runs on Api, Cloud.
- Can I use Prefect for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Prefect best used for?
- Prefect is most often used for orchestrating data pipeline workflows in python, managing ml model training and inference jobs, building etl and event-driven automation, monitoring and alerting on workflow health. Of those, orchestrating data pipeline workflows in python and managing ml model training and inference jobs are not what Together AI is typically brought in for.
- What can Prefect do that Together AI cannot?
- Prefect covers Python function decorators, Automatic resilience, Flexible deployment, Observable execution. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.
Answered from the vendors’ own pages
Prefect: What is included in the Hobby free plan?
Hobby includes 2 users, 5 deployments, 500 minutes of serverless compute monthly, and 7-day run retention.
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.
SourcePrefect: What is the difference between Starter and Team plans?
Starter is $100/month for 3 users and 20 deployments. Team is $100 per user per month for 4-8 users and 100 deployments.
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.
SourcePrefect: Can I deploy Prefect in my own infrastructure?
Yes, Starter and higher plans support bring-your-own-compute infrastructure and VPC deployments.
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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