Automation Integration · head to head
Activiti vs Together AI

Activiti
Automation Integration
Apache 2.0 BPMN engine under Hyland, from which Flowable and Camunda were forked
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Activiti the last stable release was 8.2.0 in January 2024, and while release candidate builds continue, a two-year gap between stable versions is a real risk signal for a production dependency.; Together AI free tier limits not clearly specified in pricing documentation
- They diverge on capability: Activiti covers BPMN 2.0 engine, Together AI covers Open-source models.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Activiti and Together AI actually diverge.
| Attribute | Activiti | Together AI |
|---|---|---|
| Pricing model | Open source, no licence fee | usage-based |
| Platforms | Linux, Windows, Docker, Kubernetes | 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 Activiti
- BPMN 2.0 engine
- Activiti Cloud
- Modeler
- Java and REST APIs
- Pluggable persistence
- Identity integration
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.
Activiti
- An Alfresco or Hyland content services deployment where Activiti is already the embedded workflow enginenot Together AI
- A Java application that needs to embed a BPMN engine as a library under a permissive licencenot Together AI
- An organisation that has ruled out Camunda 8 on licence grounds and needs an Apache 2.0 alternativenot Together AI
- Document-centric approval workflows where the process engine sits inside the content management stack rather than beside itnot Together AI
Together AI
- LLM inference for production AI applicationsnot Activiti
- Content generation at scalenot Activiti
- Code execution and embeddingsnot Activiti
- Model fine-tuning and trainingnot Activiti
- Startup and enterprise AI deploymentnot Activiti
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Activiti
- The last stable release was 8.2.0 in January 2024, and while release candidate builds continue, a two-year gap between stable versions is a real risk signal for a production dependency.
- Both Camunda and Flowable forked away and took large parts of the contributor base with them, so the community, tutorials and third-party tooling around Activiti are much thinner than around either fork.
- Commercial support is only realistically available by buying Hyland Alfresco subscriptions, so there is no way to pay for Activiti support on its own.
- Activiti Cloud imposes a distributed architecture of several Spring Boot services plus Keycloak, which is heavy for teams who simply wanted an embeddable engine.
- Documentation is dated and partly split between old Alfresco sites and Hyland Connect, and the transition between Activiti 6, 7 and 8 architectures makes much of the older material actively misleading.
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
Activiti
Free- ActivitiFree
- Apache 2.0 licence
- Embeddable Java library or Activiti Cloud services
- No usage 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 Activiti if
- You need bpmn 2.0 engine.
- You want to start without paying.
- You work on Linux, Windows, Docker, Kubernetes.
- You also want activiti cloud.
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 Activiti or Together AI better?
- Neither clearly leads. Activiti 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, Activiti or Together AI?
- Activiti starts at Free and Together AI at Free.
- Does Activiti or Together AI run on more platforms?
- Activiti runs on Linux, Windows, Docker, Kubernetes. Together AI runs on Api, Cloud.
- Can I use Activiti for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Activiti best used for?
- Activiti is most often used for an alfresco or hyland content services deployment where activiti is already the embedded workflow engine, a java application that needs to embed a bpmn engine as a library under a permissive licence, an organisation that has ruled out camunda 8 on licence grounds and needs an apache 2.0 alternative, document-centric approval workflows where the process engine sits inside the content management stack rather than beside it. Of those, an alfresco or hyland content services deployment where activiti is already the embedded workflow engine and a java application that needs to embed a bpmn engine as a library under a permissive licence are not what Together AI is typically brought in for.
- What can Activiti do that Together AI cannot?
- Activiti covers BPMN 2.0 engine, Activiti Cloud, Modeler, Java and REST APIs. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.
Answered from the vendors’ own pages
Activiti: Is Activiti still maintained?
Yes, Hyland continues to publish builds, but the last stable release was 8.2.0 in January 2024.
Together 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.
SourceActiviti: What is its relationship to Camunda and Flowable?
Both are forks of Activiti: Camunda in 2013 and Flowable in 2016, when core developers left Alfresco.
Together 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.
SourceActiviti: What licence is it?
Apache 2.0, which distinguishes it from Camunda 8’s source-available licence.
Together 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.
SourceActiviti: Should I choose Activiti for a new project?
Only if the Apache licence or an existing Alfresco deployment is decisive. Flowable and Camunda have far larger ecosystems.
Together 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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