Google Stitch vs Figma

Quick verdict

Google Stitch is Google Labs’ AI-native UI generator: describe a screen (text, image, or voice), get multi-screen layouts, interactive flows, frontend code, and optional Figma export—powered by Gemini, free during the Labs beta with daily credit caps. Figma is the production design platform: multiplayer canvas, components/variables/libraries, Dev Mode, plugins, FigJam, and a growing AI stack (Make, agent, MCP) that sits on top of a mature editor.

Pick Stitch when you need zero-to-mockup speed—founders, PMs, and engineers validating flows before a designer opens a file. Pick Figma when the work is a living design system, stakeholder review, pixel control, or team handoff. Most serious product orgs will not “switch off Figma”; the honest pattern is Stitch for exploration, Figma for governance and shipping.

Side-by-side

What each product is in 2026

Google Stitch started as a Google I/O 2025 Labs experiment—generate high-quality UI and frontend code from natural language or images, then export to CSS/HTML or paste into Figma. It builds on the Galileo AI acquisition (team folded into Google; product rebranded Stitch). The March 2026 “vibe design” update reframed it as an AI-native infinite canvas: multi-modal context (images, text, code), a design agent and agent manager, voice-driven critique and edits, interactive “stitch screens and Play” prototyping, DESIGN.md for portable design rules, plus MCP, SDK, and skills for agentic toolchains. Models ride Google’s Gemini family. Availability remains Google-account access via Labs—not a full enterprise design suite with years of admin/SSO maturity.

Figma is the browser-first design OS product teams already standardize on: Design editor, FigJam, Dev Mode, Slides, Draw, and newer products (Make, Sites, Motion, Buzz, Weave) under one seat model. AI is layered on: Figma Make turns prompts and attached designs into functional prototypes; Figma AI / agent assist generation, image work, and busywork; MCP servers push structured design context into coding agents. The moat is not “can it generate a login screen”—it is libraries, variables, multiplayer critique, plugin ecosystem, and org controls that survive audits and 20-person design ops.

Pricing and real cost (TCO)

List prices understate workflow cost: Stitch burns daily free credits with no top-up path; Figma burns seats plus AI credits when Make is the daily driver.

Google Stitch

• Current model — Free while in Google Labs experimental phase. Google account only; no credit card required on independent writeups of the 2026 free plan.
• Credits (Stitch 2.0 era) — Roughly 400 design credits/day and 15 redesign credits/day (~12,450 credits/month if you hit every day). Complexity-based: simple prompts may cost ~3 credits; multi-screen flows land in double digits. Credits reset around midnight UTC; independent tests found redesign actions sometimes still drawing design credits—budget is opaque before you generate.
• Paid plans — None widely available mid-2026. Staff on Google’s AI forum confirmed no paid path to raise limits when users asked; requests were escalated internally. Expect commercialization later—treat free capacity as temporary R&D, not a forever SLA.
• TCO — Cash cost is $0. Hidden cost is hard stop when credits are gone (wait for reset) and rework when outputs look generic or export badly into Figma.

Figma

• Starter (Free) — Unlimited drafts; UI kits/templates; 150 AI credits/day up to 500/mo. Enough to sample Make/AI, not a Make-heavy daily seat.
• Professional — Full seat $16/mo (annual marketing rate; monthly higher); Dev seat $12/mo; Collab seat $3/mo. Full seat includes ~3,000 AI credits/mo; Dev/Collab get 500. Unlimited files/projects for a single team, team libraries, advanced Dev Mode/MCP on paid paths.
• Organization (annual) — Full $55/mo + 3,500 AI credits; Dev $25; Collab $5. Unlimited teams, shared fonts, centralized admin.
• Enterprise (annual) — Full $90/mo + 4,250 AI credits; Dev $35; Collab $5. Workspaces, design-system theming/APIs, SCIM.
• View/comment — Still free on paid plans for many stakeholders—critical for TCO vs charging every PM a Full seat.
• AI add-ons — Extra AI credits purchasable (pay-as-you-go or subscribe, rolled out around March 2026). Figma agent beta has been free of credit burn during beta; GA will consume standard credits.

Reddit and practitioner writeups on Make: 3,000 credits “feel large” until one multi-step Make session burns 100–200 credits; free-plan caps and opaque burn rates are a recurring complaint class. Professional Full seats for a 5-designer team land near ~$80/mo before extra AI packs—still cheap vs agency time, expensive if you only needed Stitch’s free ideation loop.

How work actually feels

Stitch: You open a canvas built around generation. Describe an app, paste inspiration, talk through variants, link screens and hit Play. DESIGN.md tries to make tokens/structure portable across tools and agents; MCP/SDK/skills aim at “design agent in the loop with your coding agents”—including Google’s Antigravity codelab path for design-to-code. Strength: breadth and speed of first options. Weakness: control, consistency, and team process still trail a purpose-built editor.

Figma: You live in frames, auto layout, components, and multiplayer cursors. Make and agent accelerate blank-canvas dread and prototype plumbing; Dev Mode and MCP feed engineers accurate structure from the system you already maintain. Strength: precision and org fit. Weakness: AI generation is still “inside Figma,” so non-designers hit canvas literacy and credit math.

Community sentiment (Reddit / HN / reviews)

Stitch praise: Scarily fast first UIs; multi-screen generation and variants on one artboard; mobile builders claiming partial replacement of Figma for early prototyping; free access with real Gemini models; DESIGN.md as a developer-friendly artifact. Independent rankings put Stitch high among AI design tools for pure UI generation speed.

Stitch complaints: Outputs that “scream AI”—repetitive patterns, weak creative voice; inconsistent results month to month; Figma export/import fidelity gaps; hard credit ceilings with no purchase path; still a Labs product, not a design-ops backbone. HN threads compare it to Claude Design: some call Stitch buggy/slow; others say prototyping and export work well when it cooperates. Product designers stress it does not replace craft, research, or system thinking.

Figma praise: Default for collaboration and handoff; Make useful for early ideas and interactive prototypes when credits allow; MCP/Dev Mode integration with coding agents; seat model that can leave viewers free.

Figma complaints: AI credit plans feel stingy relative to Make’s burn; seat taxonomy (Full/Dev/Collab) confuses buyers; price steps from Pro Full to Org/Enterprise hurt as teams scale libraries and security needs; some designers question whether Make outputs are “actually used” vs demos.

Direct Stitch-vs-Figma writeups converge: Stitch for exploration at scale; Figma for real product work, interactivity governance, and collaboration. “Destroyed Figma” is clickbait; “killed the blank canvas hour” is closer.

When Google Stitch wins

• Solo founders / PMs / engineers who need credible UI concepts in minutes without learning auto layout.
• Divergence: many layout and flow variants before locking direction.
• Voice-first ideation and agent-managed parallel explorations.
• You want free Gemini-backed generation and will accept credit walls.
• DESIGN.md / MCP paths matter for AI coding agents more than multiplayer critique.
• Early pitch decks and user-testable click-throughs where “good enough” UI is fine.

When Figma wins

• Design systems: components, variants, variables, shared libraries across products.
• Real-time collaboration, comments, version history, stakeholder review rituals.
• Developer handoff with Dev Mode + MCP into coding agents from the source of truth file.
• Make/agent workflows that stay inside an existing Figma org (SSO, admin, brand libraries).
• Precision, accessibility pass-through, plugins, and enterprise compliance requirements.
• You already bill Full seats and need AI as acceleration, not a second file of record.
• Agencies and client delivery where the deliverable is a Figma file, not a Labs canvas link.

Risks and failure modes

• Stitch as production SSOT — Treating Labs output as final UI without systemization. Inconsistency and export drift will punish you in build.
• Credit cliffs — Mid-sprint Stitch hard-stops with no top-up; Figma Make soft-stops when credits empty unless you buy packs.
• Pricing surprise later — Stitch free today is not a contract. Budget for paid tiers or workflow migration when Labs commercializes.
• Seat sprawl in Figma — Giving Full seats to viewers, or under-buying Dev seats and blocking MCP/Dev Mode for eng.
• Generic AI UI — Shipping “template app” aesthetics that users distrust. Both tools can produce this; Stitch’s generative core makes it more common without strong DESIGN.md / brand constraints.
• Double tool tax without a pipeline — Generating in Stitch then rebuilding from screenshots in Figma wastes the export path. Use export deliberately or don’t dual-run.
• Security mismatch — Putting regulated product design only in a Labs experiment while your security review expects Figma’s SOC 2 / SSO / SCIM path.

Recommendation by profile

FAQ

Is Google Stitch free in 2026?
Yes for the Labs beta: no paid tier widely sold, but daily design/redesign credits apply and you cannot buy more when you hit the wall. Treat free as experimental capacity, not a forever plan.

Can Stitch replace Figma for a design team?
Not for production systems and multiplayer ops. It can replace blank-canvas hours and non-designer mockup work. Teams still need Figma (or equivalent) for libraries, critique, and handoff.

How much is Figma in 2026?
Starter free (500 AI credits/mo, 150/day). Professional Full seat about $16/mo annual with 3,000 AI credits; Dev $12; Collab $3. Organization Full $55; Enterprise Full $90 (annual). View/comment often free on paid plans. Extra AI credits can be purchased.

What is DESIGN.md?
Stitch’s agent-friendly markdown format for design rules/tokens/structure you can export/import across projects and tools—aimed at humans, git, and coding agents—not a full substitute for Figma component libraries.

Does Stitch export to Figma cleanly?
Export/paste is a first-class path in product messaging (since I/O 2025), but users report fidelity issues (layout/layer mismatches). Always budget cleanup time in Figma after import.

Does Figma Make compete with Stitch?
Yes on “prompt to UI/prototype,” but Make lives inside Figma’s canvas, credits, and libraries. Stitch is freer for pure generation volume; Figma Make wins when output must already speak your design system.

Will Stitch stay free forever?
Unlikely long-term. Google has not published permanent free pricing; forum and review coverage emphasize experimental status and expected paid expansion. Plan exit options (Figma, other AI design tools).

Which should I learn first?
If you ship with other people: Figma. If you only need to visualize product ideas this week: Stitch. Most career paths still require Figma literacy even if Stitch drafts the first frames.

Is Stitch secure enough for enterprise product design?
Treat it as a Labs experiment with Google-account access—not as a replacement for Figma’s published SOC 2 / SSO / SCIM / Trust Center story. Put regulated source-of-truth work in the tool your security team already reviewed.

Sources

This comparison is grounded in 120 primary and secondary sources: official Stitch/Figma product, pricing, docs, security, and MCP materials; independent pricing/credit tests; Reddit and Hacker News threads on Stitch, Figma Make, and credits; GitHub SDK/skills repos; and review/comparison writeups and videos. Full list: research_cache/google-stitch-vs-figma_sources.json.

Bottom line

Google Stitch and Figma solve different layers of the same job. Stitch compresses ideation: free Gemini generation, voice, multi-screen flows, DESIGN.md, and agent hooks for people who think in prompts. Figma remains the operating system for design work that must stay consistent, collaborative, and engineer-ready—now with Make, agent, and MCP so AI is not a separate island.

If you only open one tool this week as a non-designer, open Stitch. If you are responsible for a product’s UI for the next two years, pay for Figma and optionally feed it Stitch exports. The winning stack in 2026 is rarely either/or—it is a clear handoff from generative speed to system control.