Technical insights tagged with "AI Models".
Complete guide to GLM-4.7-Flash: 30B MoE model with 3B active parameters, 59.2% SWE-bench, runs on 24GB GPUs. Covers architecture, benchmarks, local deployment, API pricing, vLLM/MLX setup, best practices, and troubleshooting.
Complete guide to Gemini 3 Flash: 78% SWE-bench, $0.50/1M tokens, 3x faster. Covers benchmarks, API integration, multimodal features, developer workflows, Python examples, Cursor setup, and cost optimization.
Complete guide to Xiaomi MiMo-V2-Flash: 309B parameter MoE model with only 15B active parameters. Learn about deployment, benchmarks, performance comparison with Claude Sonnet 4.5 and GPT-5, and real-world testing results.
DeepSeekMath-V2 is a next-generation mathematical reasoning model released by the DeepSeek AI team on November 27, 2025, focusing on theorem proving and self-verification capabilities. Unlike traditional mathematical AI models, it not only pursues answer correctness but also emphasizes the rigor and completeness of the reasoning process.
Complete guide to Baidu's ERNIE-4.5-VL-28B-A3B-Thinking: multimodal AI with only 3B active parameters achieving top-tier performance. Covers fine-tuning, benchmarks, visual reasoning, STEM solving, tool calling & video understanding.
Comprehensive guide to Kimi K2 Thinking: Moonshot AI's deep reasoning model with chain-of-thought visualization. Learn API integration, best practices, and optimization strategies.
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek AI on September 29, 2025, marking an important milestone in the company's AI architecture innovation. As an upgraded version of V3.1-Terminus, the core innovation of V3.2-Exp lies in the introduction of DeepSeek Sparse Attention (DSA).
Discover DeepSeek-V3.1-Terminus, the version with enhanced language consistency, improved agent capabilities, and up to 36% performance boost in key benchmarks.
This report evaluates 41 open-source large language models using 19 benchmark tests, showcasing their performance across various tasks.