Coding · Head-to-head

DeepSeek vs Lovable

DeepSeek (freemium, AI Score 8.7/10) vs Lovable (freemium, AI Score 8.4/10). Side-by-side pricing, features, pros and cons, and which to pick.

The verdict

Pick DeepSeek if…

→you want our editor's pick for this category
→your primary use case is developers who own their agent harness and can hold a stable prompt prefix, since the cache rate is what makes deepseek cheap, and whose work is text rather than screenshots or audio.
→you need: agents

Try DeepSeek →

Pick Lovable if…

→your primary use case is founders and product or design people with no engineering team who need a working full-stack mvp — signup, database and hosting included — rather than a frontend mockup they still have to get built.
→you need: productivity, design

Try Lovable →

Spec	DeepSeek	Lovable
Category	Coding	Coding
Pricing model	freemium	freemium
Headline pricing	Free chat + API from $0.14/M input tokens (V4-Flash beta)	Free credit tier + Pro from ~$25/mo (credit-based) — check site for current credit allowances
Free tier	Free web and mobile chat with daily usage limits; API is pay-as-you-go, check the platform console for any current credit offer	Free credit-based tier for building and publishing public projects; enough to evaluate the tool, not enough to iterate seriously on a real app
AI Score	8.7/10	8.4/10
Best for	Developers who own their agent harness and can hold a stable prompt prefix, since the cache rate is what makes DeepSeek cheap, and whose work is text rather than screenshots or audio.	Founders and product or design people with no engineering team who need a working full-stack MVP — signup, database and hosting included — rather than a frontend mockup they still have to get built.
Editor's pick	✓ Yes	—
Use cases	development agents	development productivity design
Date added	2026-05-01	2025-10-01

Coding · freemium

✓V4-Flash lists $0.14/M input and $0.28/M output, roughly 36x and 107x under GPT-5.6 Sol's $5 and $30
✓Cache hits at $0.003/M make a repeated agent prefix nearly free, blending to about $0.06/M on an agent-shaped traffic mix
✓MIT-licensed 284B/13B-active weights on Hugging Face, so the same model can be self-hosted or fine-tuned
✓1M-token context on both V4-Pro and V4-Flash handles whole codebases without chunking
✓Native Responses API plus stated Codex adaptation lets agent harnesses point at it without a chat shim

×Text in, text out — no image, audio or video input, so screenshot-driven debugging is off the table
×V4-Flash is a public beta: no SLA, movable rate limits, and no published throughput figure (Artificial Analysis lists Speed as N/A)
×Verbose output — 210M tokens across nine evaluations against a 100M median, which eats into the cheap-token advantage
×China-hosted inference, and the Responses path parks conversation state on DeepSeek's servers, a compliance question before an engineering one

Coding · freemium

✓Backend is generated with the app — Postgres, auth, storage and edge functions provisioned from the same prompt
✓Two-way GitHub sync means the output is a real repo you can take to an IDE and bring back
✓Publishing, hosting and custom domains are built in; no separate deploy step to figure out
✓Genuinely usable by non-developers, which most of its competitors only claim to be
✓Figma import and click-to-edit reduce the number of chat turns spent on visual tweaks

×Credit-based pricing makes spend unpredictable — a stubborn bug can burn a chunk of the monthly allowance with nothing to show
×Security defaults have a documented failure record: published apps have exposed data through misconfigured Supabase row-level security, and the built-in scanner is not a substitute for review
×Complexity ceiling is real — beyond a moderately sized app, editing by conversation becomes slower than editing by hand
×Web only: no native mobile builds, and the generated stack is React-shaped whether or not that suits the project

Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.