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DeepSeek V4 vs V3.2: what changed in architecture, benchmarks, and pricing -- and a clear recommendation for developers deciding which API model to use.

Run a private, zero-cost personal AI assistant on your own hardware using OpenClaw and Ollama. This guide covers hardware tiers, model selection, the fastest setup path, and the configuration mistakes that break tool calling.

Sora's API is shutting down, Runway charges at scale, and Mochi 1 has quietly caught up on quality. Here's the practical comparison for developers building video pipelines.

DeepWiki automatically generates wiki-style documentation for any GitHub repository using AI -- here's how it works, when to use it, and its real limitations.

Qwen3-VL-4B-Instruct is Alibaba's compact vision-language model capable of image understanding, OCR, and video analysis on a single consumer GPU. This guide covers hardware requirements, installation, and first inference with full code examples.

DeepWiki turns any GitHub repo into an AI-queryable wiki. These practical workflows and query patterns cut codebase onboarding from hours to minutes.

DeepSeek V4 is weeks away from launch. This article tracks the confirmed release timeline, explains the three architectural innovations (Engram, DSA, mHC), and gives developers a benchmark comparison and action plan for the transition.

DeepSeek V4 has not been officially launched. Here is the verified release status, what leaked specs actually say, and which models developers should use in production today.

DeepSeek V4 hasn't launched yet -- but the alternatives are already remarkable. Here's how Qwen3.5, Kimi K2.5, MiniMax M2.7, GPT-5.4, and Claude Opus 4.6 stack up for developers who need to ship today.

A direct comparison of Qwen3-VL-4B and Qwen3-VL-8B covering DocVQA, ScreenSpot, and OCRBench scores, hardware requirements per quantization level, and a task-based routing guide to help you pick the right model for your VRAM budget.