Quick Answer
Last verified:
Medium confidence

Refact.ai costs Free to $10 per per user per month as of July 2026, with 3 plans available including a free tier. Plans: Free (free), and Pro at $10/per user per month. Enterprise pricing is available on request. Pricing depends on your chosen tier, contract length, and negotiated discounts.

Use the interactive pricing calculator to estimate your exact cost based on team size and requirements.

  • Free tier: Yes

Refact.ai offers 3 pricing tiers: Free, Pro, Enterprise. A free plan is available. Paid plans include Pro at $10/user/month. The Pro plan is individual devs and small teams needing more agent usage.

Last verified: | Sources: 1 pricing pages and reviews
Know Before You Buy — Try Refact.ai Free

Refact.ai lists $0-$10/per user per month, but hidden costs like implementation and support add to the total as of July 2026. Key hidden costs: enterprise implementation costs, coin-based usage unpredictability, self-hosting infrastructure costs. Verified from 1 sources by CostBench.

Hidden Costs Breakdown

1

Enterprise Implementation Costs

medium implementation

Enterprise deployments may incur potential implementation costs.

industry

This plan also provides an in-IDE AI Chat and a codebase vector database for semantic understanding

2

Coin-Based Usage Unpredictability

medium overage

The coin-based usage system has nuances where consumption varies by task complexity, potentially leading to unpredictable costs.

industry

Refact.ai states it does not take any commission or markup on BYOK API usage

3

Self-Hosting Infrastructure Costs

high implementation

Enterprise users opting for self-hosting will incur infrastructure costs for running necessary hardware, such as a GPU server fee for an AWS g5.xlarge instance.

industry

Autocompletion remains unlimited and free for all users

4

GPU Server Fees for Self-Hosted/On-Premise Deployments

critical implementation

For enterprise users, self-hosted or on-premise deployments incur significant GPU server expenses, including hardware, energy consumption, and cooling systems.

industry

The cost of high-performance GPUs like NVIDIA A100 or H100 can range from $25,000 to $40,000 each, with an 8-GPU server configuration potentially costing hundreds of thousands of dollars.

5

LLM Service Fees

high overage

Teams heavily utilizing AI agents face a 40% LLM service fee on credit and dollar-metered usage, making total cost forecasting difficult.

industry

LLM Service Fees: For teams heavily utilizing AI agents, a 40% LLM service fee on credit and dollar-metered usage can make the total cost difficult to forecast.

6

Data Preparation and Governance

high implementation

AI implementation incurs expenses for data preparation, governance, security, and ongoing operational overhead, with data infrastructure consuming about $60 out of every $100 spent on AI projects.

industry

Data infrastructure and readiness can consume about $60 out of every $100 spent on AI projects.

7

Personnel Costs

high implementation

Specialized ML engineers and DevOps specialists required for deploying, optimizing, and maintaining production-grade AI systems command premium salaries, contributing to unexpected operational costs.

industry

Personnel Costs: Specialized ML engineers and DevOps specialists required for deploying, optimizing, and maintaining production-grade AI systems command premium salaries, contributing to unexpected operational costs.

8

Context Indexing and Retrieval

medium implementation

For large codebases, context indexing and retrieval can add latency and administrative overhead.

industry

Context Indexing and Retrieval: For large codebases, context indexing and retrieval can add latency and administrative overhead.

Frequently Asked Questions

01 What hidden costs should I budget for with Refact.ai?

Beyond the license fee, budget for: Self-Hosting Infrastructure Costs ($1.3 per hour); GPU Server Fees for Self-Hosted/On-Premise Deployments ($1.3 per hour (AWS g5.xlarge), $25,000 to $40,000 each (NVIDIA A100 or H100), hundreds of thousands of dollars (8-GPU server)); LLM Service Fees (40%); Data Preparation and Governance ($60 out of every $100). Exact totals depend on your deployment size and negotiated terms.

02 Does Refact.ai charge for implementation?

Refact.ai implementation is not included in the license cost. Enterprise deployments may incur potential implementation costs..

03 How much does Refact.ai support cost?

Premium support pricing for Refact.ai depends on your tier and contract terms. See the sourced cost breakdown above for any verified figures we have.

04 Are there overage or storage costs with Refact.ai?

The coin-based usage system has nuances where consumption varies by task complexity, potentially leading to unpredictable costs..

05 What add-ons cost extra with Refact.ai?

Add-on pricing for Refact.ai varies by feature. The sourced cost breakdown above lists any verified add-on costs we have.

Now You Know the Real Cost — Try Refact.ai Free

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