Win 1 of 2 $1,000 token credits
We've just added three new open-weight AI models to ResetData's serverless platform, and we're celebrating with a $1,000 token credit giveaway. Use any of the new models before 6 July 2026, and you're in the draw to win.
New users also get $50 in free credits to get started.
What's new
GLM-5.2 (Z.ai)
Built for complex logical reasoning and deep data analysis. If your workload involves processing massive volumes of information and drawing accurate conclusions from it, this is the model to reach for.
Qwen3-Coder 30B (Alibaba)
Ingests entire codebases at once. Engineered for writing, debugging, and scaling applications fast, this one's built with developers in mind.
Gemma 4 26B (Google DeepMind)
High-speed text search, instant multilingual processing, and accurate long-report summarisation. Ideal for teams working across languages or drowning in documentation.
All three are available now through ResetData's serverless API, so there's no infrastructure to manage and no long setup process. Just sign up and start running inference.
Built on sovereign Australian infrastructure
Every model on the ResetData platform runs on Australia's most powerful sovereign AI infrastructure. Your data stays on-shore, and it's never used for training. For businesses in regulated industries, or anyone who simply wants control over where their data lives, that matters.
How to win $1,000 in credits
Every customer who uses any of the three new models on the AI Platform before 6 July 2026 goes into the draw to win $1,000 in token credits.
How to enter:
Use any of the three new models through the serverless API
Generate a total of at least 1 million tokens across one or more of the new models before 6 July 2026
That's it. We'll reach out to the lucky winner directly once the draw is complete.
New here? Claim your $50 free credits
Set up your account and get $50 in free credits immediately, zero commitment, no credit card required.
Tip: you can use these credits to generate the tokens needed to enter the draw.
Terms and conditions apply.