Development Tools · head to head
Daytona vs Together AI

Daytona
Development Tools
Infrastructure for spinning up secure, sub-second sandboxes to run AI-generated code
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Daytona pricing is purely usage-based with no flat monthly plan, which can make costs harder to predict for steady workloads.; Together AI fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
- They diverge on capability: Daytona covers Sub-second sandbox creation, Together AI covers Open-source models.
Where they differ
Only the attributes on which Daytona and Together AI actually diverge.
| Attribute | Daytona | Together AI |
|---|---|---|
| Platforms | web, linux, windows, api | Api, Cloud |
| Category | Development Tools | AI Tools |
| Founded | Unknown | 2022 |
Identical on both: starting price (Free), pricing model (usage-based), 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 Daytona
- Sub-second sandbox creation
- Per-second billing
- GPU instances
- Windows OS support
- Enterprise BYOC
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.
Daytona
- Running AI agent-generated code in a disposable, isolated sandboxnot Together AI
- Executing untrusted user code for a coding platformnot Together AI
- Running GPU workloads on demand without provisioning dedicated serversnot Together AI
- Testing Windows-specific code paths in a sandboxnot Together AI
Together AI
- Serverless inference against open source chat, vision, embedding, image and video modelsnot Daytona
- Renting dedicated single tenant H100, H200 or B200 GPU clusters by the hournot Daytona
- Fine tuning open weight models on a per token basisnot Daytona
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Daytona
- Pricing is purely usage-based with no flat monthly plan, which can make costs harder to predict for steady workloads.
- GPU instances are priced separately and can be significantly more expensive than standard compute for AI-heavy use cases.
- Enterprise features like SSO, audit logs, and BYOC are only available by contacting sales rather than self-serve.
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 $8.99 per GPU hour are published
Pricing, plan by plan
Daytona
Free- Pay-as-you-go$undefined/mo
- $0.0504 per vCPU/hour
- $0.0162 per GiB memory/hour
- $0.000108 per GiB storage/hour after 5 free GiB
- Startup Program$undefined/mo
- Up to $50,000 in free credits for qualifying startups
- Enterprise$undefined/mo
- Custom usage limits
- SSO
- Audit logs
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 Daytona if
- You need sub-second sandbox creation.
- You want to start without paying.
- You work on web, linux, windows, api.
- You also want per-second billing.
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 Daytona or Together AI better?
- Neither clearly leads. Daytona 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, Daytona or Together AI?
- Daytona starts at Free and Together AI at Free.
- Does Daytona or Together AI run on more platforms?
- Daytona runs on web, linux, windows, api. Together AI runs on Api, Cloud.
- Can I use Daytona for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Daytona best used for?
- Daytona is most often used for running ai agent-generated code in a disposable, isolated sandbox, executing untrusted user code for a coding platform, running gpu workloads on demand without provisioning dedicated servers, testing windows-specific code paths in a sandbox. Of those, running ai agent-generated code in a disposable, isolated sandbox and executing untrusted user code for a coding platform are not what Together AI is typically brought in for.
- What can Daytona do that Together AI cannot?
- Daytona covers Sub-second sandbox creation, Per-second billing, GPU instances, Windows OS support. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.
Answered from the vendors’ own pages
Daytona: How is Daytona usage metered?
Usage is billed per second across vCPU, memory, and storage consumed, with separate per-hour rates for GPU and Windows instances.
SourceDaytona: Is there a free plan, and what are its limits?
There is no flat free plan, but new signups receive $200 in free compute credit with no credit card required to start.
SourceDaytona: Are discounts available for startups?
Yes, the Startup Program offers up to $50,000 in free credits for qualifying companies.
SourceRelated pages
More on Together AI
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- Together AI vs Yarn
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- Together AI vs Webpack
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- Together AI vs Claude Code
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- Together AI vs Anthropic API
- Together AI vs D-ID
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- 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

