OpenAI ships GPT-5.4 mini and nano, faster and more capable but up to 4x pricier
OpenAI has released two new compact models—GPT-5.4 mini and nano—built for coding assistants, subagents, and computer control. GPT-5.4 mini nearly matches the full model’s performance, but both new models come with a steep price hike over their predecessors.
GTC 2026: With Groq 3 LPX, Nvidia adds dedicated inference hardware to its platform for the first time
At GTC 2026, Nvidia expanded the Vera Rubin platform it introduced at CES with custom CPU racks, dedicated inference chips, a new storage architecture, an inference operating system, open model alliances, and agent security software.
Mistral AI has released Mistral Small 4, combining fast text responses, logical reasoning, and image processing in one model. It has 119 billion parameters, but only 6 billion are active per query - its architecture includes 128 expert modules but activates just four at a time. Users can control whether the model responds quickly or thinks more thoroughly. Mistral AI says it's 40 percent faster and handles three times more queries per second than its predecessor.
Mistral Small 4 with a high reasoning level achieves similar or better values in internal benchmarks than the specialized Magistral models.
The model ships under the Apache 2.0 license and is available on Hugging Face, the Mistral API, and Nvidia platforms. Mistral AI is also joining the Nvidia Nemotron Coalition, which promotes open AI model development. The company previously released multimodal open-source models in early December with the Mistral 3 series, including the flagship Mistral Large 3 with 675 billion parameters.
OpenAI's biggest problem may not be building AI but getting companies to actually use it beyond ChatGPT
OpenAI is pushing to get its AI into large companies faster through sales, partnerships, and capital. A 10-billion-dollar joint venture and a new deployment arm show where the real challenge lies: getting the technology integrated into actual company workflows.
