Automation Integration · head to head
Nango vs Together AI

Nango
Automation Integration
Open source unified API and OAuth infrastructure for product integrations, licensed under Elastic License 2.0
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Nango the licence is Elastic License 2.0, which is source available rather than OSI open source, and it forbids offering Nango to third parties as a managed service, so anyone planning to resell or embed it in a platform for their own customers has a genuine legal problem.; Together AI free tier limits not clearly specified in pricing documentation
- They diverge on capability: Nango covers Managed OAuth, 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 Nango and Together AI actually diverge.
| Attribute | Nango | Together AI |
|---|---|---|
| Pricing model | Per connection per month | usage-based |
| Platforms | Web, Linux, Docker | 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 Nango
- Managed OAuth
- Pre-built integrations
- Custom syncs and actions
- Incremental sync
- Rate limit and retry handling
- Webhooks
- Self-hosting
- Unified models
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.
Nango
- A SaaS product that needs to ship twenty customer-facing integrations without hiring a team to maintain OAuth and token refresh for eachnot Together AI
- A team that needs a niche or internal API integrated, which closed unified API vendors will not build for themnot Together AI
- A company with data residency or security constraints that must self-host the integration layer rather than send customer tokens to a vendornot Together AI
- An engineering team replacing a homegrown integration service whose main cost is silent token expiry and rate limit failures in productionnot Together AI
Together AI
- LLM inference for production AI applicationsnot Nango
- Content generation at scalenot Nango
- Code execution and embeddingsnot Nango
- Model fine-tuning and trainingnot Nango
- Startup and enterprise AI deploymentnot Nango
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Nango
- The licence is Elastic License 2.0, which is source available rather than OSI open source, and it forbids offering Nango to third parties as a managed service, so anyone planning to resell or embed it in a platform for their own customers has a genuine legal problem.
- Pricing is per connection where a connection is one authorised end-user account, so cost scales linearly with your customer base and a product where each user links several services multiplies quickly beyond what a headline plan price suggests.
- Pre-built integrations vary in depth, and a connection that exists is not the same as a connection that covers the endpoints and objects your feature needs, so each one must be verified before it is designed into a roadmap.
- Custom syncs are written in TypeScript and run in Nango model, which means integration logic lives in a vendor runtime and migrating away later requires rewriting it rather than lifting it out.
- Self-hosting removes the vendor from the data path but transfers operational responsibility for a component that holds customer OAuth tokens, and few teams appreciate the security burden that comes with running that themselves.
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
Nango
Free- FreeFree
- 10 connections
- Pre-built integrations
- Managed OAuth
- Starter$50/month
- 20 connections included
- 1 USD per additional connection
- Custom syncs and actions
- Growth$500/month
- 100 connections included
- 1 USD per additional connection
- Higher limits
- Enterprise$undefined/month
- Quoted
- Custom connection volumes
- Security review and SLA
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 Nango if
- You need managed oauth.
- You want to start without paying.
- You work on Web, Linux, Docker.
- You also want pre-built integrations.
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 Nango or Together AI better?
- Neither clearly leads. Nango 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, Nango or Together AI?
- Nango starts at Free and Together AI at Free.
- Does Nango or Together AI run on more platforms?
- Nango runs on Web, Linux, Docker. Together AI runs on Api, Cloud.
- Can I use Nango for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Nango best used for?
- Nango is most often used for a saas product that needs to ship twenty customer-facing integrations without hiring a team to maintain oauth and token refresh for each, a team that needs a niche or internal api integrated, which closed unified api vendors will not build for them, a company with data residency or security constraints that must self-host the integration layer rather than send customer tokens to a vendor, an engineering team replacing a homegrown integration service whose main cost is silent token expiry and rate limit failures in production. Of those, a saas product that needs to ship twenty customer-facing integrations without hiring a team to maintain oauth and token refresh for each and a team that needs a niche or internal api integrated, which closed unified api vendors will not build for them are not what Together AI is typically brought in for.
- What can Nango do that Together AI cannot?
- Nango covers Managed OAuth, Pre-built integrations, Custom syncs and actions, Incremental sync. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.
Answered from the vendors’ own pages
Nango: Is Nango open source?
It is source available under Elastic License 2.0. You can read, modify and self-host it, but you cannot offer it to third parties as a managed service. That is not the same as an OSI approved open source licence.
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.
SourceNango: How is it priced?
Per connection per month, where a connection is one authorised end-user account. Free to 10 connections, 50 dollars a month for Starter with 20, 500 for Growth with 100, and one dollar per additional connection.
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.
SourceNango: Can we integrate an API Nango does not support?
Yes. Custom syncs and actions in TypeScript cover any API including internal ones, which is the main advantage over closed unified API products.
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.
SourceNango: Can we self-host it?
Yes, under the Elastic License 2.0 terms, which permit self-hosting for your own use but not resale as a service.
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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- Together AI vs Stable Diffusion
- Together AI vs Replicate
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