# AI model release

Fireworks announced support for Meta's Llama 3.2 family, covering the text-only 1B and 3B models and the multimodal 11B Vision and 90B Vision models, with inference and fine-tuning available on its platform. That generation was not previously offered there; the 11B and 90B multimodal models are now priced the same as text-only models, and images are charged as text tokens, typically counted as 6,400 text tokens for the Llama 3.2 vision models. Fine-tuning is currently open for the 1B and 3B text-only models, while multimodal fine-tuning is not yet available.

Fireworks announced support for Meta's Llama 3.2 family, covering the text-only 1B and 3B models and the multimodal 11B Vision and 90B Vision models, with inference and fine-tuning available on its platform. That generation was not previously offered there; the 11B and 90B multimodal models are now priced the same as text-only models, and images are charged as text tokens, typically counted as 6,400 text tokens for the Llama 3.2 vision models. Fine-tuning is currently open for the 1B and 3B text-only models, while multimodal fine-tuning is not yet available.

NVIDIA released Nemotron 3.5 Super VL, an open multimodal model now available for inference and training on Baseten, so agents can read documents, interpret application screens and analyze video directly. It builds on the Nemotron 3 Super architecture as a 120B-parameter Mixture-of-Experts model that activates 12B parameters per token, adding a vision encoder for image input. In NVIDIA's reported evaluations it scores an Elo of 1190 on GDPval versus 493 for Nemotron 3 Super, and also scores higher on SciCode and GPQA-diamond.

NVIDIA released Nemotron 3.5 Super VL, an open multimodal model now available for inference and training on Baseten, so agents can read documents, interpret application screens and analyze video directly. It builds on the Nemotron 3 Super architecture as a 120B-parameter Mixture-of-Experts model that activates 12B parameters per token, adding a vision encoder for image input. In NVIDIA's reported evaluations it scores an Elo of 1190 on GDPval versus 493 for Nemotron 3 Super, and also scores higher on SciCode and GPQA-diamond.

Google released Gemini 4 Argon for developers and enterprises, and in Chrome's roughly 40-million-line codebase it helped complete an architectural refactor across hundreds of files, compressing months of work into weeks.

Google released Gemini 4 Argon for developers and enterprises, and in Chrome's roughly 40-million-line codebase it helped complete an architectural refactor across hundreds of files, compressing months of work into weeks.