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BookStack vs Together AI

BookStack logo

BookStack

Documentation

Self-hosted documentation wiki with a fixed shelf, book, chapter and page structure

From
Free
Rated
-
Full reviewWebsite
Together AI logo

Together AI

AI

Open-source AI at scale

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: BookStack there is no vendor-hosted option at all, so you own the server, TLS certificates, database backups and upgrades, or you pay a third-party host that has no support relationship with the project and no ability to fix a bug.; Together AI free tier limits not clearly specified in pricing documentation
  • They diverge on capability: BookStack covers Shelves, books, chapters, pages, 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 BookStack and Together AI actually diverge.

Attributes where BookStack and Together AI differ
AttributeBookStackTogether AI
Pricing modelOpen source, no licence feeusage-based
PlatformsWeb, Self-hosted, DockerApi, Cloud
CategoryDocumentationAI
FoundedUnknown2022

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 BookStack

  • Shelves, books, chapters, pages
  • Dual editors
  • Granular permissions
  • Full text search
  • Page revisions
  • External authentication
  • Export
  • Audit log

Only in Together AI

  • Open-source models
  • Fine-tuning
  • Fast inference
  • Embeddings
  • Python SDK
  • OpenAI compatible
  • Api support
  • Cloud support

Both cover

  • REST API

What people use each for

The jobs each tool is most often brought in to do.

BookStack

  • Running an internal knowledge base on infrastructure inside a network that cannot reach external SaaSnot Together AI
  • Documenting procedures and runbooks where a fixed structure prevents the tree sprawl a free-form wiki producesnot Together AI
  • Replacing a Confluence licence for a team that needs pages, permissions and search but none of the surrounding suitenot Together AI
  • Publishing customer-facing manuals from the same instance as internal documentation using per-book permissionsnot Together AI

Together AI

  • LLM inference for production AI applicationsnot BookStack
  • Content generation at scalenot BookStack
  • Code execution and embeddingsnot BookStack
  • Model fine-tuning and trainingnot BookStack
  • Startup and enterprise AI deploymentnot BookStack

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

BookStack

  • There is no vendor-hosted option at all, so you own the server, TLS certificates, database backups and upgrades, or you pay a third-party host that has no support relationship with the project and no ability to fix a bug.
  • The shelf, book, chapter, page hierarchy is fixed at four levels and cannot be reshaped, so migrating a deeply nested Confluence or MediaWiki space means flattening content by hand and losing the original structure.
  • It requires PHP and MySQL or MariaDB, which is a stack many engineering teams no longer run, so adopting it usually means introducing a database and runtime nobody else in the organisation maintains.
  • Development is concentrated on a single maintainer, which makes the bus factor a legitimate procurement question for anything the organisation intends to depend on for a decade.
  • Content lives in the database rather than in files under version control, so there is no docs-as-code workflow, no review by pull request and no branch per release.
  • Export is per page, chapter or book, so moving a large instance to another platform means writing a script against the REST API rather than copying a directory of Markdown.

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

BookStack

Free
  • BookStackFree
    • MIT licence with no paid edition
    • All features included, no seat limits
    • Self-hosted on your own infrastructure

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 BookStack if

  • You need shelves, books, chapters, pages.
  • You want to start without paying.
  • You work on Web, Self-hosted, Docker.
  • You also want dual editors.
BookStack review

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.
Together AI review

Questions people ask

Is BookStack or Together AI better?
Neither clearly leads. BookStack 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, BookStack or Together AI?
BookStack starts at Free and Together AI at Free.
Does BookStack or Together AI run on more platforms?
BookStack runs on Web, Self-hosted, Docker. Together AI runs on Api, Cloud.
Can I use BookStack for free?
Both have a free tier, so you can try either at no cost before committing.
What is BookStack best used for?
BookStack is most often used for running an internal knowledge base on infrastructure inside a network that cannot reach external saas, documenting procedures and runbooks where a fixed structure prevents the tree sprawl a free-form wiki produces, replacing a confluence licence for a team that needs pages, permissions and search but none of the surrounding suite, publishing customer-facing manuals from the same instance as internal documentation using per-book permissions. Of those, running an internal knowledge base on infrastructure inside a network that cannot reach external saas and documenting procedures and runbooks where a fixed structure prevents the tree sprawl a free-form wiki produces are not what Together AI is typically brought in for.
What can BookStack do that Together AI cannot?
BookStack covers Shelves, books, chapters, pages, Dual editors, Granular permissions, Full text search. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings. Both handle REST API.

Answered from the vendors’ own pages

BookStack: Is there a paid or hosted version?

No. BookStack is MIT-licensed with no commercial edition and no official hosted service. Third-party hosts exist but are unaffiliated with the project.

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.

Source
BookStack: Can I nest pages more deeply?

No. Four levels is the design, not a limitation waiting to be fixed, and content that needs deeper nesting has to be restructured.

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.

Source
BookStack: Does it support single sign-on?

Yes, through LDAP, SAML2 or OpenID Connect, with group to role mapping, and none of it is gated behind a paid tier because there is no paid tier.

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.

Source
BookStack: How hard is it to migrate content in?

Straightforward for flat content through the REST API, awkward for deeply nested wikis, because the structure has to be collapsed to fit.

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.

Source
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