The American startup is pitching investors on a $1 billion+ valuation to train a model over a trillion parameters, aiming to reclaim the open-weight lead from Chinese labs like Moonshot and DeepSeek.

These speed gains are substantial. At 256K context lengths, Qwen 3.5 decodes 19 times faster than Qwen3-Max and 7.2 times ...

The new lineup includes 30-billion and 105-billion parameter models; a text-to-speech model; a speech-to-text model; and a ...

When OpenAI unveiled its first open-weight models in years this August, it wasn’t just tech companies that were paying attention. The release also excited US military and defense contractors, which ...

OpenAI just dropped two new open-weights models. Here's why that isn't the same as being fully open. Katelyn is a writer with CNET covering artificial intelligence, including chatbots, image and video ...

Cohere's Tiny Aya models support over 70 langauges ...

Open LLMs are publicly available models like Meta’s Llama 3.1. Their code, architecture and sometimes training data can be accessed, modified and used for commercial purposes. A comprehensive list of ...

This week, Google released a family of open AI models, Gemma 3, that quickly garnered praise for their impressive efficiency. But as a number of developers lamented on X, Gemma 3’s license makes ...

When DeepSeek released its DeepSeek reasoning model in early 2025, it tanked the US stock market. The Chinese startup showed a new way of training frontier AI that didn't rely on access to expensive, ...

Indian AI startup Sarvam has launched two powerful large language models, built from the ground up for Indian languages. These models, boasting 30 and 105 billion parameters respectively, are designed ...