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Model: "ministral-3"
not much happened today
kling-2.6 kling-o1 runway-gen-4.5 gemini-3 deepseek-v3.2 ministral-3 evoqwen2.5-vl hermes-4.3 intellect-3 openai anthropic google runway elevenlabs freepik openart deepseek mistral-ai alibaba nous-research video-generation audio-processing multimodality image-generation reasoning model-quantization sparse-attention model-pricing multimodal-models retrieval-augmentation model-training model-release
OpenAI's Code Red response and Anthropic's IPO are major highlights. In AI video and imaging, Kling 2.6 introduces native audio co-generation with coherent lip-sync, partnered with platforms like ElevenLabs and OpenArt. Runway Gen-4.5 enhances lighting fidelity, while Google's Gemini 3 Nano Banana Pro supports advanced image compositing. Open model releases include DeepSeek V3.2 with sparse attention and cost-effective pricing, and Mistral's Ministral 3 multimodal family with strong 14B variants. Retrieval and code models from Alibaba's EvoQwen2.5-VL and Nous Research's Hermes 4.3 show competitive performance with permissive licensing and HF availability. The community arena sees additions like INTELLECT-3 (106B MoE). "coherent looking & sounding output" and "auto-lighting to match scene mood" are noted advancements.
Mistral 3: Mistral Large 3 + Ministral 3B/8B/14B open weights models
mistral-large-3 ministral-3 clara-7b-instruct gen-4.5 claude-code mistral-ai anthropic apple runway moondream sparse-moe multimodality benchmarking open-source model-licensing model-performance long-context inference-optimization instruction-following local-inference code-generation model-integration anjney_midha _akhaliq alexalbert__ _catwu mikeyk
Mistral has launched the Mistral 3 family including Ministral 3 models (3B/8B/14B) and Mistral Large 3, a sparse MoE model with 675B total parameters and 256k context window, all under an Apache 2.0 open license. Early benchmarks rank Mistral Large 3 at #6 among open models with strong coding performance. The launch includes broad ecosystem support such as vLLM, llama.cpp, Ollama, and LM Studio integrations. Meanwhile, Anthropic acquired the open-source Bun runtime to accelerate Claude Code, which reportedly reached a $1B run-rate in ~6 months. Anthropic also announced discounted Claude plans for nonprofits and shared insights on AI's impact on work internally.