Freebuff: Free AI Coding Agents Funded by Ads, No Credit Card Needed
Freebuff gives free access to GLM, DeepSeek, and GPT-based coding agents by showing ads instead of charging subscriptions. Here's how it works.
What is Freebuff?
Freebuff is a desktop and iOS platform that gives people free access to AI coding agents by showing ads instead of charging a subscription or requiring a credit card. Instead of paying per token or per month like you would with most agentic coding tools, you sign in, pick a model, and watch ads appear alongside your coding session while the agent works. The platform runs on a daily allowance system: free credits refresh at midnight Pacific, and you spend them on whichever model you want, with pricier models burning through the allowance faster than cheaper ones.
TL;DR
- Freebuff replaces payment with advertising, letting users run coding agents without entering a credit card or signing up for a subscription.
- The platform offers hourly access to multiple models, including GLM 5.3 Flash, DeepSeek V4.1 Flash, and a GPT-branded model referred to as GPT 5.6 Luna, each with different daily hour allotments.
- Pricing works through a daily free-bucks allowance that resets at midnight Pacific, so you can spend it all on a cheap model or save it for a pricier one.
- The interface looks like a full agentic coding IDE, with a file diff viewer, live preview, terminal access, and both build and plan modes.
- Ads show up inline during the session, appearing as small boxes near the chat rather than as intrusive full-screen interruptions.
- Only one active session tab is allowed at a time per account in the version tested, though multiple projects can still be managed within that constraint.
- The core appeal is access to frontier-adjacent intelligence without the usual cost barrier, which matters most for people who can’t afford $10 to $20/month agent subscriptions.
- ✕a coding agent
- ✕no-code
- ✕vibe coding
- ✕a faster Cursor
The one that tells the coding agents what to build.
How does Freebuff’s ad-for-access model work?
Freebuff flips the standard SaaS model. Instead of metering usage against a credit card, it meters usage against a daily allowance of free credits (called “free bucks” in the app) that top up automatically every day at midnight Pacific. Each model carries an hourly price in that virtual currency. Cheaper, faster models let you run for many hours a day, while more capable ones cost more per hour and eat your allowance faster.
There’s no accumulation, no waiting to “earn” more credits, and no weekly or monthly cap beyond the daily reset. You either spend your daily allowance on a lot of cheap-model time or ration it toward a smaller amount of higher-end model time. The tradeoff is that using the platform means watching ads that appear during your session, generally as small boxes near the chat interface rather than full-screen takeovers.
Which models are available and how good are they?
Based on hands-on testing, Freebuff offers time-boxed access to several models:
- GLM 5.3 Flash: benchmarked at an intelligence score of 45 in one comparison chart shown during testing, with up to 20 hours of daily access at the lowest hourly rate.
- DeepSeek V4.1 Flash: scored around 40 on the same intelligence scale, available for roughly 6 hours a day.
- GPT 5.6 Luna: a GPT-branded model available for about 5 hours a day at a notably higher hourly cost than the flash-tier models.
- Muse Spark 1.2: described as somewhat less capable than the others but still functional for coding tasks.
- A handful of other, less recognizable models round out the lineup.
For context, these scores were compared against higher-end frontier models like Claude Fable 5.1 (53) and GPT 6 Astra (53), putting Freebuff’s free-tier models a meaningful step below true frontier intelligence but still in a range considered solid for coding work. The key point is that some of these models are otherwise only accessible as free chatbots, not as agents you can actually use to build things, which is where Freebuff’s value shows up.
What does the actual coding experience look like?
The Freebuff app resembles a lightweight IDE bolted onto a chat interface. Starting a project spins up a workspace with a live diff viewer showing file changes, a file browser, a preview pane, and an embedded terminal. Users can toggle between build mode (the agent writes and executes code directly) and plan mode (the agent lays out a plan before acting), a pattern familiar to anyone who has used other agentic coding tools.
Ads appear inline as the agent works, generally in a corner or below the main workspace rather than blocking the screen. In testing, running two projects side by side surfaced a limitation: the platform appeared to restrict accounts to one active session tab at a time, which could matter for anyone hoping to parallelize multiple agent runs.
Other agents ship a demo. Remy ships an app.
Real backend. Real database. Real auth. Real plumbing. Remy has it all.
Beyond the model differences, the workflow felt close to using any other coding agent: type a prompt, watch the agent reason and write files, preview the result, and iterate. Simple requests, like a one-page personal website or a basic browser game, generated working output within a couple of minutes, complete with visual preview and the ability to select page elements to target follow-up instructions.
Is Freebuff worth using instead of a paid subscription?
For anyone priced out of paid agent subscriptions, which commonly run from roughly $10 a month to $20 a month or more depending on the provider, Freebuff offers a real alternative rather than a token gimmick. The models on offer aren’t frontier-tier, but they’re capable enough for practical coding tasks like scaffolding a site, writing simple scripts, or building small games. The ad load observed during testing was moderate, appearing as small inline units rather than forced video interruptions.
The tradeoffs are real, though. Session limits (one tab at a time in testing), a daily reset rather than rollover credits, and access to slightly weaker models than the current frontier mean this isn’t a full replacement for a paid subscription to a top-tier agent if your work demands maximum capability. It’s better understood as a way to get real agentic coding practice and output without paying anything, particularly useful for students, hobbyists, or anyone in a region where a $20 monthly subscription is a genuine barrier.
Why does a platform like this matter right now?
The gap between what frontier AI labs offer to paying customers and what’s available for free has widened as the most capable models get more expensive to run. That gap creates a real disparity: people with access to top-tier models can build things that people without access simply can’t, even though the underlying skill gap might be small. A platform that trades attention (ads) for compute access doesn’t close that gap entirely, since the free models still trail the frontier, but it does lower the floor for who gets to try agentic coding at all.
Whether the ad-supported model is sustainable long-term is an open question. Ad-funded free tiers have a history of expanding intrusiveness over time as companies look for more revenue. For now, though, the ad load is light enough that it doesn’t get in the way of actually building things.
Frequently Asked Questions
Does Freebuff require a credit card to sign up?
No. Signing up only requires an account login (such as a Google sign-in), with no credit card or payment information requested at any point in the flow described.
What models can I use on Freebuff?
Testing showed access to GLM 5.3 Flash, DeepSeek V4.1 Flash, a GPT-branded model called GPT 5.6 Luna, Muse Spark 1.2, and a few lesser-known models, each with different hourly costs and daily time allowances.
How does the daily credit system work?
Users get a daily allowance of free credits that resets at midnight Pacific. Each model has an hourly rate charged once per session start, and users choose whether to spend the whole allowance on a cheap model or save it for a pricier one.
Can I run multiple coding sessions at once?
In testing, the platform limited accounts to one active session tab at a time, which may restrict users who want to run several agent sessions in parallel.
Are the free models as good as paid frontier models?
Not quite. Benchmark comparisons shown during testing put models like GLM 5.3 Flash and DeepSeek V4.1 Flash below top frontier models like Claude Fable 5.1 or GPT 6 Astra, but still capable enough for practical coding tasks.