Software Development · head to head
Devin vs Together AI

Devin
Software Development
Autonomous AI software engineer planning and executing code in its own environment
- From
- On request
- Rated
- -
The short version
- Only Together AI has a free tier, so it costs nothing to try first.
- Each has a real cost: Devin pricing not published; specific costs and plan tiers require signup or contact with sales; Together AI fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
Where they differ
Only the attributes on which Devin and Together AI actually diverge.
| Attribute | Devin | Together AI |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | subscription | usage-based |
| Free tier | No | Yes |
| Platforms | Desktop, Windsurf integration, Web | Api, Cloud |
| Category | Software Development | AI Tools |
| Founded | Unknown | 2022 |
Identical on both: 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 Devin
Nothing recorded that Together AI does not also cover.
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.
Devin
- Feature implementation and ticket resolution in established codebasesnot Together AI
- Code migrations and refactoring at scale across repositoriesnot Together AI
- Bug fixing and debugging with test-driven verificationnot Together AI
- Rapid prototyping and proof-of-concept developmentnot Together AI
- Repetitive implementation tasks freeing human engineers for complex designnot Together AI
Together AI
- Serverless inference against open source chat, vision, embedding, image and video modelsnot Devin
- Renting dedicated single tenant H100, H200 or B200 GPU clusters by the hournot Devin
- Fine tuning open weight models on a per token basisnot Devin
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Devin
- Pricing not published; specific costs and plan tiers require signup or contact with sales
- Cannot handle extremely difficult tasks reliably; success rate decreases with task complexity
- Requires clear, well-scoped task descriptions; ambiguous requirements reduce effectiveness
- Requires human oversight and integration into existing workflows; not fully autonomous
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
Devin
On requestNo published plan breakdown. See the Devin review.
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 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 Devin or Together AI better?
- Neither clearly leads. Devin starts at On request and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Devin or Together AI?
- Together AI has a free tier; the other does not. Paid plans start at On request for Devin and Free for Together AI.
- Does Devin or Together AI run on more platforms?
- Devin runs on Desktop, Windsurf integration, Web. Together AI runs on Api, Cloud.
- Can I use Together AI for free?
- Yes. Together AI has a free tier, so you can try it without paying. Devin starts at On request.
- What is Devin best used for?
- Devin is most often used for feature implementation and ticket resolution in established codebases, code migrations and refactoring at scale across repositories, bug fixing and debugging with test-driven verification, rapid prototyping and proof-of-concept development. Of those, feature implementation and ticket resolution in established codebases and code migrations and refactoring at scale across repositories are not what Together AI is typically brought in for.
- What can Devin do that Together AI cannot?
- Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.
Related pages
More on Together AI
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- Together AI vs DeepSource
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- Together AI vs Drizzle ORM
- Together AI vs Flagsmith
- Together AI vs Unleash
- Together AI vs Baseten
- Together AI vs Braintrust
- Together AI vs Bun
- Together AI vs Cline
- Together AI vs Factory
- Together AI vs Humanloop
- Together AI vs Langfuse
- Together AI vs LangSmith
- Together AI vs Pika
- Together AI vs Anthropic API
- Together AI vs D-ID
- Together AI vs Fathom
- Together AI vs Stable Diffusion
- Together AI vs Perplexity
- Together AI vs Arize AI
- Together AI vs Black Forest Labs
- Together AI vs Cartesia
- Together AI vs Deepgram
- Together AI vs Helicone
- Together AI vs Ideogram
- Together AI vs Jasper
- Together AI vs PromptLayer
- Together AI vs Resemble AI
- Together AI vs AI21 Labs
- Together AI vs Copy.ai
- Together AI vs HeyGen

