Softwr

Cloud · head to head

containerd vs Together AI

containerd logo

containerd

Cloud

Industry-standard container runtime, and the engine inside Docker

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: containerd not a developer-facing tool: there is no build command and the CLI is deliberately minimal, so it needs companions like nerdctl or Buildah; Together AI free tier limits not clearly specified in pricing documentation
  • They diverge on capability: containerd covers Full container lifecycle, Together AI covers Open-source models.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where containerd and Together AI differ
AttributecontainerdTogether AI
Pricing modelOpen source, no licence feeusage-based
PlatformsLinux, WindowsApi, Cloud
CategoryCloudAI
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 containerd

  • Full container lifecycle
  • CRI support
  • OCI compliant
  • Snapshotter plugins
  • Namespaces
  • Stable API

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.

containerd

  • Running the container runtime under a Kubernetes cluster after the Docker shim removalnot Together AI
  • Building a platform or PaaS that needs to execute containersnot Together AI
  • Reducing the moving parts on nodes that only ever run Kubernetes workloadsnot Together AI
  • Embedding container execution inside another productnot Together AI

Together AI

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

Where each one falls short

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

containerd

  • Not a developer-facing tool: there is no build command and the CLI is deliberately minimal, so it needs companions like nerdctl or Buildah
  • Debugging is lower-level than Docker, and error messages assume knowledge of the runtime internals
  • Documentation is aimed at platform engineers, so newcomers usually find Docker or Podman material more useful
  • No image building at all — that is out of scope by design

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

containerd

Free
  • containerdFree
    • Full functionality
    • No usage limits
    • Community support

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 containerd if

  • You need full container lifecycle.
  • You want to start without paying.
  • You work on Linux, Windows.
  • You also want cri support.
containerd 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 containerd or Together AI better?
Neither clearly leads. containerd 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, containerd or Together AI?
containerd starts at Free and Together AI at Free.
Does containerd or Together AI run on more platforms?
containerd runs on Linux, Windows. Together AI runs on Api, Cloud.
Can I use containerd for free?
Both have a free tier, so you can try either at no cost before committing.
What is containerd best used for?
containerd is most often used for running the container runtime under a kubernetes cluster after the docker shim removal, building a platform or paas that needs to execute containers, reducing the moving parts on nodes that only ever run kubernetes workloads, embedding container execution inside another product. Of those, running the container runtime under a kubernetes cluster after the docker shim removal and building a platform or paas that needs to execute containers are not what Together AI is typically brought in for.
What can containerd do that Together AI cannot?
containerd covers Full container lifecycle, CRI support, OCI compliant, Snapshotter plugins. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

Answered from the vendors’ own pages

containerd: Is containerd free?

Yes. It is an open-source CNCF graduated project with 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
containerd: Do I need containerd if I use Docker?

You already have it. Docker uses containerd underneath to run containers; it is not an alternative you install separately.

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
containerd: Why did Kubernetes drop Docker for containerd?

Kubernetes talks to runtimes through the Container Runtime Interface. Docker did not speak CRI natively and needed a shim, so Kubernetes removed the shim and talks to containerd directly, which Docker was already using anyway.

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
containerd: Can containerd build images?

No. Image building is deliberately out of scope. Tools such as Buildah, BuildKit or Docker handle that.

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
Share

Related pages

More on containerd

More on Together AI

Keep looking

Other head to heads