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Software · head to head

DeepSource vs Together AI

DeepSource logo

DeepSource

Software

Automated code review and AI-powered code fixes for engineering teams.

From
Free
Rated
-
Full reviewWebsite
Together AI logo

Together AI

Software

Open-source AI at scale

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DeepSource open Source plan caps at 1,000 reviewed pull requests and 1,000 formatting runs per month.; Together AI fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
  • They diverge on capability: DeepSource covers Automated pull request review, Together AI covers Open-source models.

Where they differ

Only the attributes on which DeepSource and Together AI actually diverge.

Attributes where DeepSource and Together AI differ
AttributeDeepSourceTogether AI
Pricing modelfreemiumusage-based
Platformsweb, apiApi, Cloud
FoundedUnknown2022

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

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 DeepSource

  • Automated pull request review
  • AI-powered autofix
  • Automated code formatting
  • Monorepo support
  • API and webhooks
  • Bring-your-own-key AI

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.

DeepSource

  • Automating pull request code review for engineering teamsnot Together AI
  • Auto-fixing detected code issues with AInot Together AI
  • Enforcing code formatting standards automaticallynot Together AI
  • Scanning large monorepos for quality issuesnot Together AI
  • Running self-hosted AI review in regulated environmentsnot Together AI

Together AI

  • Serverless inference against open source chat, vision, embedding, image and video modelsnot DeepSource
  • Renting dedicated single tenant H100, H200 or B200 GPU clusters by the hournot DeepSource
  • Fine tuning open weight models on a per token basisnot DeepSource

Where each one falls short

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

DeepSource

  • Open Source plan caps at 1,000 reviewed pull requests and 1,000 formatting runs per month.
  • AI Review beyond the included credit is billed per 10K lines of code, which can add unpredictable cost.
  • Self-hosted deployment and BYOK AI are Enterprise-only features.
  • Enterprise pricing is not published and requires contacting sales.

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

DeepSource

Free
  • Open SourceFree
    • Free for public repositories
    • 1,000 pull requests reviewed/month
    • 1,000 automated formatting runs/month
  • Team$24/month
    • Unlimited repositories and pull request reviews
    • $100 annual AI Review credit per user
    • Monorepo support
  • Enterprise$undefined/month
    • Self-hosted deployment
    • Bring-your-own-key AI Review
    • SSO

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 DeepSource if

  • You need automated pull request review.
  • You want to start without paying.
  • You work on web, api.
  • You also want ai-powered autofix.
DeepSource 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 DeepSource or Together AI better?
Neither clearly leads. DeepSource 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, DeepSource or Together AI?
DeepSource starts at Free and Together AI at Free.
Does DeepSource or Together AI run on more platforms?
DeepSource runs on web, api. Together AI runs on Api, Cloud.
Can I use DeepSource for free?
Both have a free tier, so you can try either at no cost before committing.
What is DeepSource best used for?
DeepSource is most often used for automating pull request code review for engineering teams, auto-fixing detected code issues with ai, enforcing code formatting standards automatically, scanning large monorepos for quality issues. Of those, automating pull request code review for engineering teams and auto-fixing detected code issues with ai are not what Together AI is typically brought in for.
What can DeepSource do that Together AI cannot?
DeepSource covers Automated pull request review, AI-powered autofix, Automated code formatting, Monorepo support. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

Answered from the vendors’ own pages

DeepSource: What does DeepSource cost?

The Open Source plan is free for public repos; Team is $24 per user/month billed yearly with a $100 annual AI Review credit; Enterprise is custom-priced with self-hosted options.

Source
DeepSource: Is there a free plan, and what are its limits?

Yes, the free Open Source plan covers public repositories with 1,000 pull requests reviewed per month and 1,000 automated formatting runs per month.

Source
DeepSource: How is AI Review usage metered?

Team plans include a $100 annual AI Review credit per user, with additional usage billed at Standard ($8/10K LOC) or Advanced ($15/10K LOC) tiers.

Source
DeepSource: Can I change or cancel my plan?

Yes, subscriptions can be downgraded or canceled at any time.

Source
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