We Open-Sourced a 322M Decision Model. Now Its API Is Free

HAL-X AI has open-sourced THX-01, a 322M-parameter multilingual decision model released under Apache 2.0 with weights, source code, and training scripts, and has made its hosted API free with no key or sign-up required. On a benchmark of 2,843 multilingual support tickets across four languages, THX-01 scored 98.4% accuracy with a 0.003 calibration error and roughly 10 ms latency, versus 97.4%, 0.007, and 331 ms for TypeSafe Jev 1.13, though the company notes the latency figures come from different serving setups and are not a controlled hardware comparison.

Two days ago, we released THX-01, an open-source decision model that outperforms Jev on several benchmarks and can even run locally on a smartphone. Today, anyone can use it through our free API. Hi everyone I'm Farid, Co-Founder of HAL-X AI. A couple of days ago, our team open-sourced THX-01 , a 322M-parameter multilingual decision model designed to make AI decision-making faster, cheaper, and more accessible. Yesterday, we opened our hosted API to everyone. No API key, no sign-up, and no payment required. And the response has been incredible Since launch, we've already processed: We're excited to see developers experimenting with what a small, specialized decision model can do. Most applications don't actually need an LLM to generate paragraphs of text. Sometimes, you just need to answer a simple question: Using a large generative model for these tasks can introduce unnecessary latency and cost. THX-01 takes a different approach. It's a non-autoregressive model that processes a document or message alongside typed questions and returns structured answers with calibrated probabilities in a single forward pass. Approximately 10 milliseconds on our benchmark hardware. No token-by-token generation. You can make your first request right now. No authentication required. curl https://api.hal-x.ai/v1/systemone \ -H "Content-Type: application/json" \ -d '{ "state": "My card was charged twice for one order", "questions": { "team": { "type": "choice", "question": "Which team handles this?", "criteria": { "billing": "billing", "tech": "technical", "sales": "sales" } } } }' THX-01 evaluates the available choices and returns the predicted decision with probabilities. The API supports: | Type | What it does | |---|---| | Choice | Classification with probabilities | | Yes/No | Binary decisions | | Score | Ordered scoring | | Number | Extract exact numbers from documents | | Excerpt | Extract verbatim passages | | Citations | Identify supporting text | You can submit multiple questions in a single request. Full API documentation: https://api.hal-x.ai/docs/thx-01 https://api.hal-x.ai/docs/thx-01 We benchmarked THX-01 against TypeSafe Jev 1.13 using 2,843 multilingual support tickets across four languages. Here are the results: | Metric | THX-01 | Jev 1.13 | |---|---|---| | Accuracy | 98.4% | 97.4% | | Calibration error | 0.003 | 0.007 | | Measured latency | ~10 ms | 331 ms | | Open weights | Yes | No | THX-01 achieved higher accuracy and better calibration on this benchmark, with approximately 33x lower measured latency. The latency measurements use different serving setups, so they're not a controlled hardware-to-hardware comparison. We don't claim THX-01 outperforms Jev everywhere, but these results demonstrate how competitive specialized, lightweight decision models can be. THX-01 contains just 322 million parameters . It was designed to support efficient inference without requiring a massive GPU infrastructure. With a suitable runtime, it can even run locally on smartphones. You can also install the Python package: pip install thx01 The model supports 18 post-training languages, with particular attention to Azerbaijani and multilingual robustness. We're releasing THX-01 under Apache 2.0 , including its model weights, source code, and training scripts. We believe developers should have the freedom to run, modify, deploy, and build on top of their AI models. At HAL-X AI, our goal is to contribute to the global open-source AI ecosystem and make efficient AI accessible to more people. That's also why we've made the hosted API free to use, subject to rate limits. Free API: https://api.hal-x.ai/docs/thx-01 https://api.hal-x.ai/docs/thx-01 Model weights and code: https://huggingface.co/doofz/THX-01 https://huggingface.co/doofz/THX-01 Interactive demo: https://huggingface.co/spaces/doofz/THX-01-demo https://huggingface.co/spaces/doofz/THX-01-demo Python package: pip install thx01 We're still improving THX-01, and we'd love to hear feedback from developers building AI agents, automation pipelines, document processing systems, and classification services. If you build something using THX-01, we'd love to see it