All tags
Topic: "vision-language"
nano-banana is Gemini‑2.5‑Flash‑Image, beating Flux Kontext by 170 Elo with SOTA Consistency, Editing, and Multi-Image Fusion
gemini-2.5-flash-image-preview hermes-4 nemotron-nano-9b-v2 internvl3.5 gpt-oss qwen3 deepseek-v3.1 google-deepmind nous-research nvidia openai ollama huggingface openrouter image-editing natural-language-processing multi-image-composition character-consistency reasoning hybrid-models context-windows model-steerability pretraining finetuning alignment vision vision-language api model-integration sundarpichai _philschmid lmarena_ai omarsar0 skirano yupp_ai xanderatallah officiallogank mervenoyann
Google DeepMind revealed Gemini-2.5-Flash-Image-Preview, a state-of-the-art image editing model excelling in character consistency, natural-language edits, and multi-image composition, dominating the Image Edit Arena with a ~170-180 Elo lead and over 2.5M votes. It is integrated into multiple platforms including Google AI Studio and third-party services. Nous Research released Hermes 4, an open-weight hybrid reasoning model focused on steerability and STEM benchmarks. NVIDIA launched Nemotron Nano 9B V2, a hybrid Mamba-Transformer with 128k context, top-performing under 10B parameters, and released a 6.6T-token pretraining subset. InternVL3.5 introduced 32 vision-language models based on OpenAI's gpt-oss and Qwen3 backbones. Ollama v0.11.7 added DeepSeek v3.1 support with hybrid thinking and Turbo mode preview.
not much happened today
hunyuan-turbos qwen3-235b-a22b o3 gpt-4.1-nano grok-3 gemini-2.5-pro seed1.5-vl kling-2.0 tencent openai bytedance meta-ai-fair nvidia deepseek benchmarking model-performance moe reasoning vision video-understanding vision-language multimodality model-evaluation model-optimization lmarena_ai artificialanlys gdb _jasonwei iScienceLuvr _akhaliq _philschmid teortaxesTex mervenoyann reach_vb
Tencent's Hunyuan-Turbos has risen to #8 on the LMArena leaderboard, showing strong performance across major categories and significant improvement since February. The Qwen3 model family, especially the Qwen3 235B-A22B (Reasoning) model, is noted for its intelligence and efficient parameter usage. OpenAI introduced HealthBench, a new health evaluation benchmark developed with input from over 250 physicians, where models like o3, GPT-4.1 nano, and Grok 3 showed strong results. ByteDance released Seed1.5-VL, a vision-language model with a 532M-parameter vision encoder and a 20B active parameter MoE LLM, achieving state-of-the-art results on 38 public benchmarks. In vision-language, Kling 2.0 leads image-to-video generation, and Gemini 2.5 Pro excels in video understanding with advanced multimodal capabilities. Meta's Vision-Language-Action framework and updates on VLMs for 2025 were also highlighted.