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Model: "gemini-3"
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claude-3-7-sonnet gpt-4-1 gemini-3 qwen3-vl-embedding qwen3-vl-reranker glm-4-7 falcon-h1r-7b jamba2 stanford google google-deepmind alibaba z-ai tii ai21-labs huggingface copyright-extraction multimodality multilinguality retrieval-augmented-generation model-architecture mixture-of-experts model-quantization reasoning inference kernel-engineering memory-optimization enterprise-ai sundarpichai justinlin610
Stanford paper reveals Claude 3.7 Sonnet memorized 95.8% of Harry Potter 1, highlighting copyright extraction risks compared to GPT-4.1. Google AI Studio sponsors TailwindCSS amid OSS funding debates. Google and Sundar Pichai launch Gmail Gemini 3 features including AI Overviews and natural-language search with user controls. Alibaba Qwen releases Qwen3-VL-Embedding and Qwen3-VL-Reranker, a multimodal, multilingual retrieval stack supporting text, images, and video with quantization and instruction customization, achieving strong benchmark results. Z.ai goes public on HKEX with GLM-4.7 leading the Artificial Analysis Intelligence Index v4.0, showing gains in reasoning, coding, and agentic use, with large-scale MoE architecture and MIT license. Falcon-H1R-7B from TII targets efficient reasoning in smaller models, scoring 16 on the Intelligence Index. AI21 Labs introduces Jamba2, a memory-efficient enterprise model with hybrid SSM-Transformer architecture and Apache 2.0 license, available via SaaS and Hugging Face. vLLM shows throughput improvements in inference and kernel engineering. "Embeddings should be multimodal by default," notes Justin Lin.
Gemini 3.0 Flash Preview: 1/4 cost of Pro, but ~as smart, retakes Pareto Frontier
gemini-3-flash gemini-3 gpt-5.2 gemini-3-pro google google-deepmind tool-calling multimodality benchmarking reasoning cost-efficiency model-performance context-window agentic-ai model-deployment sundar_pichai jeffdean demishassabis
Google launched Gemini 3 Flash, a pro-grade reasoning model with flash latency, supporting tool calling and multimodal IO, available via multiple platforms including Google AI Studio and Vertex AI. It offers competitive pricing at $0.50 per 1M input tokens and $3.00 per 1M output tokens, with context windows up to 1M tokens. Benchmarks show Gemini 3 Flash rivals or outperforms larger models like GPT-5.2 and Gemini 3 Pro in agentic, coding, and reasoning tasks, validated by ARC-AGI-2, SWE-bench, LMArena, and Arena benchmarks. Despite some tradeoffs like high token use and hallucination rates, it is cost-effective overall. Key figures include Sundar Pichai, Jeff Dean, and Demis Hassabis who publicly celebrated this achievement. The model's tool calling capabilities were demonstrated with 100 tools in a live demo.
OpenRouter's State of AI - An Empirical 100 Trillion Token Study
grok-code-fast gemini-3 gemini-3-deep-think gpt-5.1-codex-max openrouter deepseek anthropic google google-deepmind reasoning coding tokenization long-context model-architecture benchmarking agentic-ai prompt-engineering quocleix noamshazeer mirrokni
OpenRouter released its first survey showing usage trends with 7 trillion tokens proxied weekly, highlighting a 52% roleplay bias. Deepseek's open model market share has sharply declined due to rising coding model usage. Reasoning model token usage surged from 0% to over 50%. Grok Code Fast shows high usage, while Anthropic leads in tool calling and coding requests with around 60% share. Input tokens quadrupled and output tokens tripled this year, driven mainly by programming use cases, which dominate spending and volume. Google launched Gemini 3 Deep Think, featuring parallel thinking and achieving 45.1% on ARC-AGI-2 benchmarks, and previewed Titans, a long-context neural memory architecture scaling beyond 2 million tokens. These advances were shared by Google DeepMind and Google AI on Twitter.
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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.
AI Engineer Code Summit
gemini-3-pro-image gemini-3 gpt-5 claude-3.7-sonnet google-deepmind togethercompute image-generation fine-tuning benchmarking agentic-ai physics model-performance instruction-following model-comparison time-horizon user-preference demishassabis omarsar0 lintool hrishioa teknium artificialanlys minyangtian1 ofirpress metr_evals scaling01
The recent AIE Code Summit showcased key developments including Google DeepMind's Gemini 3 Pro Image model, Nano Banana Pro, which features enhanced text rendering, 4K visuals, and fine-grained editing capabilities. Community feedback highlights its strong performance in design and visualization tasks, with high user preference scores. Benchmarking updates reveal the new CritPt physics frontier benchmark where Gemini 3 Pro outperforms GPT-5, though AI still lags on complex unseen research problems. Agentic task evaluations show varied time horizons and performance gaps between open-weight and closed frontier models, emphasizing ongoing challenges in AI research and deployment. "Instruction following remains jagged for some users," and model fit varies by use case, with Gemini 3 excelling in UI and code tasks but showing regressions in transcription and writing fidelity.
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gpt-5.1 sonnet-4.5 opus-4.1 gemini-3 openai anthropic langchain-ai google-deepmind adaptive-reasoning developer-tools prompt-optimization json-schema agent-workflows context-engineering structured-outputs model-release benchmarking swyx allisontam_ gdb sama alexalbert__ simonw omarsar0 abacaj scaling01 amandaaskell
OpenAI launched GPT-5.1 featuring "adaptive reasoning" and developer-focused API improvements, including prompt caching and a reasoning_effort toggle for latency/cost tradeoffs. Independent analysis shows a minor intelligence bump with significant gains in agentic coding benchmarks. Anthropic's Claude models introduced structured outputs with JSON schema compliance in public beta for Sonnet 4.5 and Opus 4.1, enhancing tooling and code execution workflows. Rumors of an Opus 4.5 release were debunked. LangChain released a "Deep Agents" package and context-engineering playbook to optimize agent workflows. The community is eagerly anticipating Google DeepMind's Gemini 3 model, hinted at in social media and upcoming AIE CODE events. "Tickets are sold out, but side events and volunteering opportunities are available."
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gpt-4o deepseek-v3-0324 gemini-2.5-pro gemini-3 claude-3.7-sonnet openai hugging-face sambanova google-cloud instruction-following image-generation content-filtering model-performance api coding model-deployment benchmarking model-release abacaj nrehiew_ sama joannejang giffmana lmarena_ai _philschmid
OpenAI announced the new GPT-4o model with enhanced instruction-following, complex problem-solving, and native image generation capabilities. The model shows improved performance in math, coding, and creativity, with features like transparent background image generation. Discussions around content filtering and policy for image generation emphasize balancing creative freedom and harm prevention. DeepSeek V3-0324 APIs, available on Hugging Face and powered by SambaNovaAI, outperform benchmarks and models like Gemini 2.0 Pro and Claude 3.7 Sonnet. Gemini 2.5 Pro is recommended for coding, and Gemini 3 can be deployed easily on Google Cloud Vertex AI via the new Model Garden SDK. The Gemma 3 Technical Report has been released on arXiv.