Dust Pricing Overview

Dust does not offer a permanent free plan, but it does provide a free trial that lets users to test the product before committing to a paid plan. Trial availability and duration may vary, so users should review the seller's official pricing page for the most current details.

Dust's pricing is best suited for mid-market companies of 51 to 1,000 employees, who represent the largest share of G2 reviewers and consistently report strong adoption and ROI. Industries including information technology, financial services, insurance, consulting, and healthcare appear frequently among G2 reviewers of Dust. Small businesses and solopreneurs also find Dust's pricing accessible, particularly for multi-LLM access at a single subscription cost. Freelancers working across multiple client workspaces flag per-seat pricing as a friction point. Enterprise buyers with complex compliance, governance, or integration requirements are directed toward Dust's custom quote process, which G2 reviewers in those segments associate with higher-touch support and premium model availability.

Dust offers a free trial for teams evaluating the platform before committing, rather than a permanent free tier. According to G2's pricing data for Dust, full access requires a paid plan, with enterprise needs handled through custom quotes. G2 reviewers note that Dust's enterprise tier unlocks certain premium model access, with one mid-market financial services reviewer specifically flagging that the Opus model is restricted to the enterprise tier. Custom enterprise pricing also appears to include closer implementation support and dedicated success resources, which several G2 reviewers in mid-market and enterprise segments cite as a meaningful differentiator when scaling AI adoption across larger organizations.

G2 reviewers broadly regard Dust's pricing as strong value, with the 4.5/5 average rating reflecting high satisfaction across small businesses and mid-market companies. Multiple G2 users highlight that a single Dust subscription grants access to models from OpenAI, Anthropic, Google, Mistral, and others, which several reviewers explicitly compare favorably to paying for each service separately. Early adopters mention benefiting from an attractive pricing model. The main cost concerns raised by G2 reviewers center on token and credit consumption escalating quickly with heavy use, an abrupt pricing transition that some mid-market users found disruptive, and per-seat costs that freelancers working across multiple client workspaces find restrictive.