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Developer Tools · head to head

Tilt vs Together AI

Tilt logo

Tilt

Developer Tools

Local Kubernetes development loop that rebuilds and live-updates containers on save

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: Tilt docker acquired Tilt in 2022 and the team now splits its time across Compose and Docker Desktop, so feature velocity is modest and the product's long-term priority inside Docker is not guaranteed; treat it as a stable utility, not a growing platform.; Together AI free tier limits not clearly specified in pricing documentation
  • They diverge on capability: Tilt covers Live update, 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 Tilt and Together AI actually diverge.

Attributes where Tilt and Together AI differ
AttributeTiltTogether AI
Pricing modelOpen source, no licence feeusage-based
PlatformsLinux, macOS, WindowsApi, Cloud
CategoryDeveloper ToolsAI
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 Tilt

  • Live update
  • Tiltfile as code
  • Unified web UI
  • Selective rebuilds
  • Local and remote clusters
  • Resource dependencies
  • Extensions registry
  • Custom buttons and triggers

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.

Tilt

  • A team of ten or more engineers whose application is fifteen microservices on Kubernetes and who currently wait on CI to test a changenot Together AI
  • An organisation onboarding new developers who want a single command that stands up the whole stack from a committed Tiltfilenot Together AI
  • A platform team giving product engineers a consistent local environment against a shared remote development clusternot Together AI
  • A codebase where one repository contains several services and rebuilding all of them on every edit is the main source of lost timenot Together AI

Together AI

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

Where each one falls short

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

Tilt

  • Docker acquired Tilt in 2022 and the team now splits its time across Compose and Docker Desktop, so feature velocity is modest and the product's long-term priority inside Docker is not guaranteed; treat it as a stable utility, not a growing platform.
  • The Tiltfile is Starlark, a Python dialect, so non-trivial setups become real programs that need reviewing and maintaining, and the person who wrote yours becomes a single point of failure.
  • Live update only works when the running container can accept synced files and restart the process; compiled languages, distroless images and read-only filesystems often force you back to a full image rebuild, which removes the main benefit.
  • It assumes Kubernetes. If your development target is plain Docker Compose or serverless functions, Tilt adds a cluster you did not need and a layer of abstraction with no payoff.
  • There is no commercial support contract, no SLA and no paid tier, so when a Kubernetes version upgrade breaks something you are dependent on GitHub issues and a Slack channel rather than a vendor you can escalate to.

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

Tilt

Free
  • TiltFree
    • Apache 2.0 licensed
    • All features, no paid tier
    • Community support via the Kubernetes Slack #tilt channel

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 Tilt if

  • You need live update.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want tiltfile as code.
Tilt 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 Tilt or Together AI better?
Neither clearly leads. Tilt 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, Tilt or Together AI?
Tilt starts at Free and Together AI at Free.
Does Tilt or Together AI run on more platforms?
Tilt runs on Linux, macOS, Windows. Together AI runs on Api, Cloud.
Can I use Tilt for free?
Both have a free tier, so you can try either at no cost before committing.
What is Tilt best used for?
Tilt is most often used for a team of ten or more engineers whose application is fifteen microservices on kubernetes and who currently wait on ci to test a change, an organisation onboarding new developers who want a single command that stands up the whole stack from a committed tiltfile, a platform team giving product engineers a consistent local environment against a shared remote development cluster, a codebase where one repository contains several services and rebuilding all of them on every edit is the main source of lost time. Of those, a team of ten or more engineers whose application is fifteen microservices on kubernetes and who currently wait on ci to test a change and an organisation onboarding new developers who want a single command that stands up the whole stack from a committed tiltfile are not what Together AI is typically brought in for.
What can Tilt do that Together AI cannot?
Tilt covers Live update, Tiltfile as code, Unified web UI, Selective rebuilds. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

Answered from the vendors’ own pages

Tilt: Is Tilt free?

Yes, entirely. It is Apache 2.0 open source with no paid tier and no licence fee.

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
Tilt: Who owns Tilt now?

Docker, which acquired it in May 2022. It remains open source and the repository is still actively maintained.

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
Tilt: Do I need a remote cluster?

No. It works against a local cluster such as kind, minikube or Docker Desktop, and also against a shared remote development cluster if your services are too heavy to run locally.

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
Tilt: How is it different from Skaffold?

Both automate the build-deploy loop. Tilt puts more weight on the live-update path and a multi-service dashboard; Skaffold is more configuration-driven and closer to Google's tooling.

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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