Free PRO trial with Kimi-K3, GLM-5.2, Qwen3.8-Max and other strong Alibaba models is live
No card needed.
Google or temp mail works.
What you actually get:
• 300 free credits for 14 days
• Extra 800 free requests to Qwen3.8-Max (almost 2 months)
• Access to Kimi-K3, GLM-5.2 and the rest of the Chinese lineup
• Full IDE + CLI + mobile support
How to claim it:
1. Open the site and sign in with Google (or temp mail)
2. Download and install their IDE
3. Sign in inside the IDE → confirm → claim the 300-credit offer
4. Go to the Usage tab and grab the extra 800 Qwen3.8-Max requests
You can also use the CLI version if you prefer terminal over the IDE.
Bonus: they have QoderWork (their version of Claude Design) with modes for:
– Slides
– Writing / file audit
– Landing page design
– General chat
Models feel responsive and handle files, images and video without drama.
One real caveat: the claim is tied to the IDE login, so multi-accounting is harder than the usual website freebies.
Still one of the cleanest free ways right now to stress-test the current Chinese frontier models without burning paid credits.
Someone just made Kimi K3 2.8T run on a 4GB GPU for FREE 😳
AirLLM just shipped support for the largest open-source model ever (2.8 trillion params, moe) and it runs on a standard gaming card in 3.72GB VRAM. no quantization. no distillation. no pruning
what you get for $0:
> kimi k3 2.8t moe on your own hardware
> runs in 3.72gb vram rtx 3060, 4060 or any 4gb+ card
> no api key, no subscription, no data leaves your machine
> full offline private unlimited inference
> apache 2.0 license, 27.4k stars on github, active dev
what this replaces:
> api costs for frontier-size models ($30+/M tokens)
> privacy concerns with cloud providers
> waiting for token resets on capped free tiers
setup (3 min):
1. pip install airllm compressed-tensors flash-attn
2. from airllm import AutoModel; model = AutoModel.from_pretrained("moonshotai/Kimi-K3")
3. call model.generate() like any huggingface model
thats it. 3 lines of python and youre running 2.8 trillion parameters on the same card you game on
important:
> needs cuda 12 torch and transformers 4.56.x
> first run downloads + layer-splits the model (need 50gb+ free disk)
> inference is slower than cloud but unlimited and 100% free
> works on linux, windows, macos with a cuda gpu
no monthly bill. no rate limits. no one watching what you prompt
Been testing Cindy lately.
A clean AI workspace where I can use my own ChatGPT/Claude subscription, switch between models, and keep development workflows in one place. Worth checking out if you build software. 🚀
GitHub: https://t.co/VoyoYoWoF8
Website: https://t.co/X453Yo2BLj
If your coding model doesn’t support vision, you don’t have to switch.
Run a local VL model with Ollama, send screenshots via Python, then pass the extracted context to DeepSeek, Codex, or any coding model.
Simple, fast, and fully local. 🚀
#AI#Ollama#DeepSeek#Python#LLM
Codex users: do this right *now*.
Max reasoning effort is off by default.
Luna at Max reasoning is ~ Sol Medium / Opus 5 Medium level at 1/6th the cost.
Change your life today.
@Trae_ai After clicking the "Redeem SOLO Code" button, I was informed that "Only Pro can redeem this SOLO code.✨ Upgrade to Pro" in order to proceed. Then, I subscribed to TRAE Pro, and now it shows "This SOLO code has reached its redemption limit." This is very frustrating.