🔓 The $0 FREE AI stack 2026 — full daily workflow, no card

[SRZ]

Free AI 2026 ➜ Google’s free coder ⤷ free anonymous chat (DuckDuckGo) ⤷ free image AI (link) ⤷ no card

Frontier AI for $0 in 2026 is a full daily workflow — code, chat, images, the lot — not some trial-stack hack. No card, no US phone, no timer ticking. Most people are still paying $20/mo because nobody told them the doors were open.

Pick what you need

⚡ Coding agents — the free stack nobody mentions

Google quietly shipped its own Claude Code competitor and zero roundups lead with it.

Gemini CLI — Apache 2.0, terminal-native, 1,000 requests/day free on Gemini 3.1 Pro. That’s the actual Pro model, not Flash. Roughly 20× the daily quota of the same Pro model on the regular API. Install: npx @google/gemini-cli and sign in with a Google account.

The rest of the free coding lineup:

Tool	What it is	Stars / License
OpenCode	Open-source Claude Code clone, single Go binary, 75+ providers, polished TUI	~165k / MIT
Cline	VS Code agent, Plan/Act mode (thinks before editing)	~62k / Apache 2.0
Aider	Terminal pair-programmer, auto-commits to git, polyglot benchmark champ	~44k / Apache 2.0
Continue.dev	The only OSS option with JetBrains + autocomplete	~25k / Apache 2.0
OpenHands	Autonomous agent in a sandboxed Docker, runs headless in CI	~75k / MIT

Point any of them at a free API key by swapping the OpenAI base URL:

OPENAI_BASE_URL=https://openrouter.ai/api/v1
OPENAI_API_KEY=sk-or-...
MODEL=qwen3-coder:free

Other base URLs that take a free key: https://api.cerebras.ai/v1 (1M tokens/day on Llama 3.3 70B and Qwen3-32B), https://api.groq.com/openai/v1 (fastest inference on the planet), https://integrate.api.nvidia.com/v1 (NVIDIA NIM, no card, key starts with nvapi-).

Trick: match your client’s rate limits to each provider’s real tier — don’t raise them locally. Raising them just moves the rejection from your code (clean skip) to the provider (a real 429 that counts against you). For Groq free: 30 RPM (requests per minute), 6,000 TPM (tokens per minute), 14,400 RPD (requests per day) on the 8B models. Set those as your ceilings.

Roo Code shut down May 15, 2026 — if anyone still recommends it, they’re months out of date. Cline ate that user base.

💬 Chat — frontier models without the $20/mo wall

Pick by job:

Need	Pick	Catch
Smart unrestricted chat	Gemini 2.5 Flash + Claude.ai free	Daily caps
Anonymous / privacy-first	DuckDuckGo Duck.ai	No account, IP stripped, 30-day delete
No quota, no model downgrade	DeepSeek	Conversations stored in China
GPT-5 + Claude + Gemini side-by-side	Poe	300 daily compute points free
GLM-5.2 (China’s Claude-class)	Z.ai	Google sign-in works globally
Kimi K2.6 / Qwen3	Kimi / Qwen Chat	China jurisdiction
Built into the browser	Brave Leo	Brave browser required
Inside Microsoft tools	Copilot free	Decent for daily writing

Pro tier on Google AI Studio got quietly paywalled April 1, 2026 — free tier is Flash/Flash-Lite only now. Pro = 50 RPD which won’t run a single real workload. Skip it.

🪄 Image gen — no key, no signup, just a URL

The dumbest trick in the deck and the most reliable:

https://image.pollinations.ai/prompt/a_dragon_eating_dosa

Drop that into a browser. You get an image. Drop it into a Markdown file, a Discord bot, a personal site — it embeds anywhere because it’s literally just an image URL.

Replace spaces with underscores. No key, no signup, no quota for normal use. Pollinations.ai backs it with Flux, GPT Image, Seedream — all behind one host. 8M+ images/month, zero data storage, open-source on GitHub. Full API docs at gen.pollinations.ai for OpenAI-compatible access if you want keys for higher limits.

When you want a real API:

Service	Free tier
Together FLUX.1-schnell-Free	~8,000 images/day, 6/min, free endpoint
Microsoft Designer	DALL-E free in the browser
Ideogram	Daily free credits
Leonardo.ai	Daily free tokens
HuggingFace Spaces	Free ZeroGPU on SDXL / Flux community demos
Adobe Firefly	Monthly free generative credits

Local: ComfyUI + Flux.1-schnell (Apache 2.0, 12B params, 1-4 step generation) on a 12GB+ GPU or any Apple Silicon Mac.

🔌 Raw API access — no card, no waiting

Provider	Free tier	Catch
NVIDIA build	DeepSeek V3.2, Qwen3 Coder 480B, Llama 3.3, GLM-4.6, GPT-OSS-120B	1,000-5,000 starter credits, ~40 RPM/model
Cerebras	1M tokens/day, Llama / Qwen / GPT-OSS-120B	30 RPM, 8K context cap on free
Groq	30 RPM, 14,400 RPD on Llama 8B; lower on bigger models	6K TPM bottleneck on most models
Google AI Studio	Gemini 2.5 Flash, 1,500 RPD, 1M TPM	Free tier inputs may be used for training
OpenRouter :free	~27 free models (DeepSeek R1, Qwen3 Coder, Llama 4, GLM-4.5-Air, GPT-OSS)	20 RPM / 50 RPD (1,000 RPD with $10 lifetime credit)
Mistral	Mistral Large/Small/Codestral free experiment tier	Phone verification required
HuggingFace Inference Providers	Routes across fal, Replicate, SambaNova, Together, Fireworks, Groq, Cohere	Small monthly free credits
Cloudflare Workers AI	10,000 Neurons/day forever (~15-25 text-gen calls/day)	Larger models gated to paid
Puter.js	Zero-key trick — embed AI in a web app, each user covers their own usage via their Puter account	Web app only
GitHub Models	GPT-5, Claude, Llama, Phi for testing inside GitHub	Low rate limits, dev only

Trick: Don’t engineer a multi-provider router as a beginner. Pick one strong path per use case, rotate manually when you hit a wall. The “stack 5 free providers behind LiteLLM” advice that gets thrown around is a beautifully complicated way to give yourself a part-time DevOps job — TrueFoundry’s 2026 review puts production-grade LiteLLM at ~$1,730/mo in DevOps labor before you make a single API call. If you outgrow free, that’s when you stack.

🇮🇳 The UPI backdoor (when your card keeps getting rejected)

If OpenAI, Anthropic, or Google rejected your Indian card — there’s a way around the wall.

AICredits.in runs 300+ frontier models behind one OpenAI-compatible API key:

• GPT-5, Claude Opus 4.7, Gemini 3.x, DeepSeek V4, Grok — plus 280 more
• Pay via UPI (GPay / PhonePe / Paytm), net banking, INR debit/credit cards through Razorpay
• Minimum top-up ₹100, no KYC for standard usage
• Credits valid 1 year, drop-in OpenAI replacement (base_url swap)
• Per-key budget caps in the dashboard so you can’t accidentally drain

Not technically “free” — but it’s the only path that doesn’t fall over on “we don’t accept Indian cards.” Pair with the free stack above: free for daily work, ₹100-500 top-up for the occasional Opus or GPT-5 session.

Worth knowing — the Indian sovereign AI stack:

• Bhashini — government translation + speech APIs for all 22 scheduled languages, free for many use cases. Live in MyGov (140M users), CoWIN, several state portals.
• Sarvam AI — open-source Indian foundation model, fluent in 11 Indic languages, API access available.
• Kruti (Krutrim’s consumer chatbot) is dead as of April 2026 — Krutrim laid off ~200 staff, app pulled from stores. Skip it.

🏠 Run it locally — a $599 Mac Mini is the cheap frontier rig

The “you need a $2,500 GPU build to run local AI” line is bullshit in 2026. Apple’s unified memory ate it.

           ┌──────────────────────────────────┐
   Mac     │  $599    16GB   M4        →   7-13B @ 50+ tok/s    │
   Mini    │  $1,399  24GB   M4 Pro    →   Qwen3.6-27B dense    │
   family  │  $1,799  48GB   M4 Pro    →   Qwen3.6-35B-A3B 24/7 │
   2026    │  $4,500  128GB  M4 Max    →   Llama 3.3 70B @ 28t/s│
           └──────────────────────────────────┘

The $599 Mac Mini M4 hits 55 tokens/sec per $1,000 spent — twice the value of any GPU build per Local AI Master’s calculator. Silent, low power, fits in a 5-inch square. The M4 Max gets 28 tok/s on Llama 3.3 70B at Q4 quant — that’s faster than you read.

Software:

• Ollama — easiest. ollama run qwen3:30b-a3b and you’re done.
• LM Studio — GUI with model browser built in.
• Jan.ai — privacy-first local chat UI.
• MLX — Apple’s native framework, 10-30% faster than llama.cpp on M-series for 96GB+ rigs.

Models that actually fit consumer hardware in 2026 (clean commercial licenses):

VRAM / RAM	Model	License
8GB	Gemma 3 4B, Phi-4 Mini, Qwen3-8B	Gemma / MIT / Apache 2.0
12GB	Phi-4 14B, Gemma 3 12B, Qwen3-14B	MIT / Gemma / Apache 2.0
16GB	Gemma 3 27B, Qwen3.6-27B (~16.8GB Q4)	Gemma / Apache 2.0
24GB	Qwen3-30B-A3B, Qwen3-32B	Apache 2.0 (commercial OK)
48GB	Llama 3.3 70B Q4 (clean)	Llama Community License

Forget DeepSeek V4, GLM-5.2, Kimi K2.6, MiniMax M3 on consumer hardware — those are server-only in 2026 (600GB+ at INT4 quant). The realistic local frontier is Qwen3-30B-A3B — Apache 2.0, commercial-OK, fits 24GB cleanly, 35B total with only 3B params active per token (MoE — mixture of experts, only part of the model fires).

Trick: No Mac, no GPU? Kaggle Notebooks gives 30 GPU-hours/week free (T4/P100 16GB, 9-hr sessions), no credit card. Best free GPU on the internet for trying local models before you buy hardware. Google Colab free covers the rest of the week.

☠️ The graveyard — what died in 2026 (don't waste time)

Method	Status	What happened
Roo Code	DEAD	Shut down May 15, 2026 — users pushed back to Cline
Kruti AI app	DEAD	Krutrim laid off ~200 staff April 2026, app pulled from stores
Google AI Studio free Pro	KILLED	Paywalled April 1, 2026 — free tier is Flash/Flash-Lite only now
Veo 2 / Veo 3	DEPRECATING	Shutting down June 30, 2026 — migrate this week if you use them
GitHub Copilot Pro/Student new signups	PAUSED	Paused April 2026; all plans moved to usage-based credits June 1, 2026
Kimi K2.6 on OpenRouter :free	ENDED	Lost the :free tag June 13, 2026 — now paid
SambaNova free tier	UNCERTAIN	Folding into paid Developer tier per community threads
Chutes.ai free frontier	SHRUNK	Frontier models removed from base subscription Feb 27, 2026

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The whole loot in one line — Gemini CLI for coding, DuckDuckGo Duck.ai for anonymous chat, Pollinations URL for images, AICredits.in via UPI when you need frontier. That’s the stack. Everything else is variations.

Stop paying $20/mo. The doors were open the whole time.

[slimjval]

Useful share, thanks

[jim_ross]

awesome share mate