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Ai2's MolmoWeb is a fully open-source web agent that navigates browsers by screenshot alone, beating GPT-4o-based agents at the 8B scale with weights, training data, and code all released under Apache 2.0.
Mistral Small 4 packs reasoning, vision, and agentic coding into a 119B MoE under Apache 2.0 - a serious small-model contender at a price that's hard to ignore.
Cohere Command A Vision is a 112B multimodal model that leads on document and OCR benchmarks, beating GPT-4.1 across seven visual understanding tasks.
Three new papers expose cracks in how AI models think, how benchmarks evaluate multimodal reasoning, and why LLM judges reliably mislead.
Google's Gemini 3.1 Flash-Lite delivers frontier-class benchmarks at a fraction of the cost of Pro - but a sluggish first-token response and preview-only status mean it's not for every workload.
Luma Agents coordinates text, image, video, and audio from a single brief using the Uni-1 unified model - a genuine architectural leap, with some real rough edges still showing.
Google's first natively multimodal embedding model maps text, images, video, audio, and PDFs into a single vector space - now in public preview via Gemini API and Vertex AI.
Grok 4 is xAI's frontier reasoning model, the first to break 50% on Humanity's Last Exam, with a 256K context window, $3/M input pricing, and a Heavy multi-agent variant built on 200,000 GPUs.
Microsoft releases Phi-4-reasoning-vision-15B - a 15B open-weight multimodal model trained on 240 GPUs in 4 days that competes with 100B+ parameter models on math, science, and GUI understanding.
Luma AI's new Agents platform, powered by the Uni-1 Unified Intelligence model, lets creative teams go from a written brief to finished video, images, and audio in one workflow.
New research reveals models can fake poor performance under adversarial prompts, a smarter critic improves SWE-bench by 15 points, and Microsoft shows compact vision models can punch above their weight.
Alibaba completes the Qwen 3.5 lineup with four small models - 0.8B, 2B, 4B, and 9B - all natively multimodal, 262K context, Apache 2.0. The 9B outperforms last-gen Qwen3-30B and beats GPT-5-Nano on vision benchmarks.
