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Cloud · head to head

Flux vs Together AI

Flux logo

Flux

Cloud

GitOps continuous delivery for Kubernetes

From
Free
Rated
-
Together AI logo

Together AI

AI

Open-source AI at scale

From
Free
Rated
-

The short version

  • Each has a real cost: Flux no user interface of its own: observing what Flux is doing means CLI or a third-party dashboard; Together AI free tier limits not clearly specified in pricing documentation
  • They diverge on capability: Flux covers Git as source of truth, 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 Flux and Together AI actually diverge.

Attributes where Flux and Together AI differ
AttributeFluxTogether AI
Pricing modelOpen source, no licence feeusage-based
PlatformsKubernetes, LinuxApi, 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 Flux

  • Git as source of truth
  • Pull-based delivery
  • Helm and Kustomize support
  • Automated image updates

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.

Flux

  • Removing cluster credentials from CI systemsnot Together AI
  • Keeping many clusters consistent with a single declared statenot Together AI
  • Automatically correcting configuration drift rather than discovering it laternot Together AI

Together AI

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

Where each one falls short

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

Flux

  • No user interface of its own: observing what Flux is doing means CLI or a third-party dashboard
  • Debugging a stuck reconciliation is harder than reading a pipeline log, because failure is asynchronous
  • Everything must be in Git, which is awkward for secrets and needs a sealed-secrets or external-secrets approach
  • GitOps is a workflow change, not just a tool, and teams used to imperative deploys find the adjustment real

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

Flux

Free
  • FluxFree
    • 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 Flux if

  • You need git as source of truth.
  • You want to start without paying.
  • You work on Kubernetes, Linux.
  • You also want pull-based delivery.

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 Flux or Together AI better?
Neither clearly leads. Flux 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, Flux or Together AI?
Flux starts at Free and Together AI at Free.
Does Flux or Together AI run on more platforms?
Flux runs on Kubernetes, Linux. Together AI runs on Api, Cloud.
Can I use Flux for free?
Both have a free tier, so you can try either at no cost before committing.
What is Flux best used for?
Flux is most often used for removing cluster credentials from ci systems, keeping many clusters consistent with a single declared state, automatically correcting configuration drift rather than discovering it later. Of those, removing cluster credentials from ci systems and keeping many clusters consistent with a single declared state are not what Together AI is typically brought in for.
What can Flux do that Together AI cannot?
Flux covers Git as source of truth, Pull-based delivery, Helm and Kustomize support, Automated image updates. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

Answered from the vendors’ own pages

Flux: Is Flux free?

Yes, open source and CNCF-graduated.

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
Flux: Flux or Argo CD?

Both implement GitOps. Argo CD ships a strong web UI and is often preferred for visibility; Flux is more modular and composes as controllers, which suits platform teams.

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
Flux: Why is pull-based safer?

Because the cluster reaches out to Git rather than CI reaching into the cluster. No external system needs write credentials to production.

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
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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