The 10 cheapest ChatGPT alternatives in 2026: free local models, free tiers and flat-rate plans
Temat: Modele
Autor: Lookout
Opublikowano 2026-02-04
Ten ways to get a capable AI assistant for less than a ChatGPT subscription, ranked by what you actually pay: open models on your own PC with Ollama or LM Studio, the free tiers of DeepSeek, Mistral, Google AI Studio and Qwen, Hugging Face Chat, OpenRouter's free routes, a Telegram bot with open LLMs included in a flat image-and-video plan, and what each is good and bad at.
Ta strona nie została jeszcze przetłumaczona, dlatego jest wyświetlana po angielsku.
Przegląd
ChatGPT Plus costs 20 dollars a month and most people use a fraction of it. The open-weights world now offers models that match last year's frontier for everyday writing, coding and summarising: Llama,
Qwen
, Gemma, Mistral, DeepSeek, Phi and their fine-tunes, all listed in the Text / LLM family of this catalog with parameter counts, context lengths and licences. Running them costs nothing but electricity on a decent laptop, and several companies host them for free or inside flat-rate plans.
This list is ordered by cost first and capability second, with honest notes on where a free option falls short: smaller local models are weaker at long reasoning, free tiers have daily caps, and some free services train on your conversations. Nothing here requires a subscription to this site; links go to the services themselves or to the model families here.
Prices and limits change monthly. The ranking on this site tracks which open LLMs are being downloaded and run most right now, which is a better signal of what is good than any static list, including this one.
Odniesienie
Nazwa | Typ | Co to jest |
|---|---|---|
1. Ollama + an open model | free, local | One command installs a server; ollama run qwen3:8b or llama3.1:8b gives a private chat on 8 GB of RAM or VRAM . Pair with Open WebUI for a ChatGPT-like interface. |
2. LM Studio | free, local | A desktop app with a model browser (GGUF from Hugging Face), chat window and a local API. Easiest local start on Windows and Mac. |
3. DeepSeek chat | free web / app | DeepSeek-V3 and R1 reasoning in a free web app; strong at coding and maths. Data is processed in China; read the privacy terms. |
4. Mistral Le Chat | free tier | Mistral Large and Medium in a polished web and mobile app with web search and image generation; generous free limits, EU hosted. |
5. Google AI Studio | free with limits | Gemini Flash and Pro models with a large context window, free for personal use at rate limits; a developer UI rather than a consumer one. |
6. Qwen Chat | free web | Alibaba's Qwen3 family including vision and coding models; free, fast, large context; same jurisdiction note as DeepSeek. |
7. Hugging Face Chat (HuggingChat) | free | Open models (Llama, Qwen, DeepSeek, Command R) hosted by Hugging Face with tools and web search; no cost, occasional queues. |
8. OpenRouter free routes | free / pay per token | One API key, hundreds of models; the ":free" variants cost nothing with rate limits; paid models bill per token, often cents per month for light use. |
9. Groq | free tier | Open models (Llama, Qwen, Gemma) served at very high speed; free developer tier with daily token limits. |
10. PirateDiffusion (LLM bot) | flat-rate plan | A Telegram bot that bundles open LLM chat with unlimited image and video generation on one fixed price; the hosted models carry a chat token on their pages here. The pick if you also want images. |
AD

Images to go with your words
If what you want from an AI assistant includes pictures, BitVector Prism generates them in a clean web app with the top models from this site preloaded. No install, works alongside any chat service above.
Krok po kroku
- Decide what you need: private and offline (1, 2), best free quality (3, 4, 5, 6), many models under one key (8), speed (9), or chat plus image and video in one plan (10).
- For local: check your RAM or VRAM. 8 GB runs 7-8B models at Q4; 16 GB runs 14B; 24-32 GB runs 30B-class and small mixtures of experts. The LLM family page lists sizes.
- Install Ollama (ollama.com) or LM Studio (lmstudio.ai); download a model from the catalog here (Qwen3 8B or Llama 3.1 8B are safe starts); chat.
- For a ChatGPT-like interface over Ollama, install Open WebUI (Docker or pip) and point it at localhost:11434.
- For free hosted: create an account on DeepSeek, Le Chat or Qwen Chat; use them for drafts and research, but keep private data out of any free service.
- For developers: an OpenRouter key gives every model in one API, with free routes to test and per-token billing that rarely exceeds a few dollars a month.
- For an all-in-one:PirateDiffusion's Telegram bot includes open LLM chat alongside the image and video models from this site; one subscription instead of three.
- Revisit the LLM ranking on this site monthly; the best open model changes every few weeks.
Przykłady
Local chat in two commands
ollama run qwen3:8b
>>> Summarise this article in five bullet points: <paste>
Open WebUI over Ollama (Docker)
docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data ghcr.io/open-webui/open-webui:main
OpenRouter free route (curl)
curl https://openrouter.ai/api/v1/chat/completions -H "Authorization: Bearer $KEY" -d '{"model":"qwen/qwen3-8b:free","messages":[{"role":"user","content":"hello"}]}'
Porady
- Quantisation (Q4_K_M GGUF) halves memory with little quality loss for chat; use Q8 for coding if you have the room.
- Local 8B models are excellent at summarising, rewriting and simple code; for long multi-step reasoning use a hosted reasoning model (DeepSeek R1, Qwen3 thinking mode).
- Free tiers reset daily; keep two accounts on different services rather than paying for one.
- Context length matters more than parameter count for document work; Qwen and Gemini offer 128k+ contexts.
- Read the privacy policy for any free hosted service; local models and paid API routes are the private options.
- Open WebUI, LM Studio and Ollama all expose an OpenAI-compatible API, so any ChatGPT-compatible tool can point at your own PC.
Rozwiązywanie problemów
Local model is slow or crashes
Dlaczego tak się dzieje
Too large for RAM/VRAM; running fp16 instead of a quantised GGUF.
Jak to naprawić
Pick a smaller or more quantised build; keep 2 GB free; close the browser.
Answers are shallow compared with ChatGPT
Dlaczego tak się dzieje
An 8B model asked for deep reasoning.
Jak to naprawić
Use a 30B-class local model, or a hosted reasoning model for that task.
Free tier stops at midday
Dlaczego tak się dzieje
Daily caps.
Jak to naprawić
Spread work across two services, or a cheap per-token API route.
Model refuses or hallucinates sources
Dlaczego tak się dzieje
Alignment tuning or no web access.
Jak to naprawić
Use a service with search (Le Chat, HuggingChat with tools), ask for quotes, verify links.
Worried about data
Dlaczego tak się dzieje
Free consumer services may train on conversations.
Jak to naprawić
Local models (1, 2) or API routes with no-training terms; never paste secrets into a free chat.
AD

Chat, images and video in one Telegram bot
PirateDiffusion bundles open LLM chat with unlimited image and video generation on one fixed monthly price. Ask a question, then /render the result, in the same chat.
Pytania
Is a free local model really as good as ChatGPT?
For everyday writing, summarising and routine code, an 8B-14B 2026 open model is close. For hard reasoning and long agentic tasks, hosted frontier models are still ahead.
What hardware for local LLMs?
Any 16 GB laptop runs 8B models; a 24 GB GPU or 32 GB Mac runs 30B-class. The LLM family page lists memory per model.
Can these write code?
Qwen3-Coder, DeepSeek-Coder and Codestral are strong; pair a local one with an editor extension that speaks the OpenAI API.
Why is a Telegram image bot on an LLM list?
Because for people who also generate images or video, one flat plan that includes open LLM chat replaces two or three subscriptions. The catalog marks the hosted LLMs with a chat token.
Where is the up-to-date ranking?
The Text / LLM family page on this site, sorted by hot.
Linki i źródła
Modele w tym poradniku
Autor
Lookout
Powiązane poradniki
Usługi w chmurze
Getting started with AI image generation: your first picture in ten minutes
A plain-language start for complete beginners: what a model is, the three ways to run one (web app, chat bot, your own PC), how to write a first prompt, what the settings mean and how to tell a good result from a lucky one.
Autor: Captain
2025-08-14
Błędy i rozwiązania
GPU and VRAM guide for AI image and video: what each model needs and what to buy (or not)
How much graphics memory each model family really needs at usable speed (SD 1.5, SDXL, Flux, FLUX.2, Qwen Image, Z-Image, Wan 2.2, LTX-2, H3), what fp8 and GGUF quantisation buy you, why system RAM and disk matter too, a tier list of cards from 8 to 32 GB, Mac and AMD notes, and the point at which renting is cheaper than buying.
Autor: Quartermaster
2026-01-07
Usługi w chmurze
PirateDiffusion: run any model from Telegram, no GPU needed
The commands that matter in the PirateDiffusion Telegram bot: /render with model trigger words, (( )) and [[ ]] weighting, #recipes, /adetailer, /highdef and /facelift upscaling, /remix, /inpaint, ComfyUI workflows with /wf /run:, and the new // skills that pick the model for you.
Autor: Captain
2026-10-03
Promptowanie
AI image and video generation glossary: 60 terms from checkpoint to VAE, explained in one line each
The words you meet on model pages, in ComfyUI and in forum threads, each explained in a sentence with a pointer to the guide that goes deeper: architectures (U-Net, DiT, MoE), files (checkpoint, LoRA, embedding, VAE, GGUF), settings (CFG, denoise, scheduler, shift), techniques (inpainting, hires-fix, ControlNet, IP-Adapter) and video terms (frames, high/low noise experts, I2V, T2V).
Autor: Captain
2026-04-15
Więcej poradników
Modele
FLUX.1 Dev: how to prompt it, best settings and creative ideas
A practical guide to FLUX.1 Dev by Black Forest Labs: natural-language prompting, guidance and step settings, LoRA stacking, text rendering and prompt ideas that play to its strengths.
Autor: Captain
2026-09-30
Modele
Stable Diffusion XL 1.0: prompts, settings and what it still does best
How to get the most out of the official SDXL 1.0 base model: native resolutions, CFG and sampler settings, the refiner, negative prompts and ideas for styles where SDXL still shines.
Autor: Captain
2026-10-01
Modele
Stable Diffusion 1.5: the classic model, prompted properly
Stable Diffusion 1.5 is still worth knowing: the right resolution, CFG and sampler, how to use its huge library of LoRAs and embeddings, and creative prompt ideas suited to a 512-pixel model.
Autor: Captain
2026-10-02
Modele
FLUX.2 Dev: prompting the newest Black Forest Labs model
FLUX.2 Dev brings larger prompts, better text, stronger realism and multi-reference editing. This guide covers the turbo workflow, guidance and resolution settings, prompt structure and ideas that use its new strengths.
Autor: Captain
2026-10-03
Modele
Qwen-Image: long prompts, perfect text and bilingual posters
Qwen-Image is the model to reach for when the words in the picture matter. Learn how to write its long descriptive prompts, render English and Chinese text accurately, set CFG and steps, and explore layout-heavy creative ideas.
Autor: Captain
2026-09-29
Modele
SDXL-Lightning: four-step generation on any SDXL checkpoint
ByteDance's SDXL-Lightning LoRA turns a 30-step SDXL render into a 4-step one. Learn the step counts, the CFG you must use, the sampler, and how to combine it with your favorite checkpoints and style LoRAs.
Autor: Captain
2026-09-30

Model
Trends
.ai
© ModelTrends.ai
|
Wyprodukowano w Japonii
|
© 2026