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Developer Tools · head to head

Refact vs Together AI

Refact logo

Refact

Developer Tools

Autonomous AI coding agent for development tasks

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: Refact requires configuration for optimal performance; Together AI free tier limits not clearly specified in pricing documentation
  • They diverge on capability: Refact covers Autonomous agent workflows, 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 Refact and Together AI actually diverge.

Attributes where Refact and Together AI differ
AttributeRefactTogether AI
Pricing modelFreemium with paid tiersusage-based
PlatformsVS Code, WebApi, Cloud
CategoryDeveloper ToolsAI
Founded20232022

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 Refact

  • Autonomous agent workflows
  • IDE chat
  • Real-time code completions
  • GitHub integration
  • Database integration
  • On-premise deployment
  • Multi-LLM support
  • 25+ language support

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.

Refact

  • Autonomous code generation for development tasksnot Together AI
  • End-to-end bug fixes and refactoringnot Together AI
  • Multi-language software development accelerationnot Together AI
  • Enterprise development with data privacy requirementsnot Together AI

Together AI

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

Where each one falls short

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

Refact

  • Requires configuration for optimal performance
  • On-premise deployment adds operational complexity
  • Free tier limited by daily agent request quota
  • Coin system adds complexity to cost calculation

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

Refact

Free
  • FreeFree
    • Limited daily agent usage
    • Unlimited completions
    • 2,000 coins for agent and chat
  • Pro$10/month
    • 40 daily agent requests
    • 64k context window
    • 10,000 coins monthly
  • Enterprise$undefined/custom
    • On-premise deployment
    • Custom coin allocation
    • Fine-tuning 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 Refact if

  • You need autonomous agent workflows.
  • You want to start without paying.
  • You work on VS Code, Web.
  • You also want ide chat.
Refact 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 Refact or Together AI better?
Neither clearly leads. Refact 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, Refact or Together AI?
Refact starts at Free and Together AI at Free.
Does Refact or Together AI run on more platforms?
Refact runs on VS Code, Web. Together AI runs on Api, Cloud.
Can I use Refact for free?
Both have a free tier, so you can try either at no cost before committing.
What is Refact best used for?
Refact is most often used for autonomous code generation for development tasks, end-to-end bug fixes and refactoring, multi-language software development acceleration, enterprise development with data privacy requirements. Of those, autonomous code generation for development tasks and end-to-end bug fixes and refactoring are not what Together AI is typically brought in for.
What can Refact do that Together AI cannot?
Refact covers Autonomous agent workflows, IDE chat, Real-time code completions, GitHub integration. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

Answered from the vendors’ own pages

Refact: How many programming languages does Refact support?

Refact supports 25+ programming languages including Python, JavaScript, Go, Rust, Java, C++, and many others.

Source
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
Refact: Can I deploy Refact on-premises?

Yes. Refact offers on-premise deployment options for organizations requiring complete data control and privacy.

Source
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
Refact: What LLMs does Refact support?

Refact works with multiple LLMs including Claude, GPT-4, and open-source models, giving you flexibility in model selection.

Source
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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