
LTX-2.3 Review: Open-Source Video AI That Delivers
LTX-2.3 is a 22-billion-parameter open-source video and audio generation model from Lightricks that rivals closed commercial tools - at zero cloud cost.
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LTX-2.3 is a 22-billion-parameter open-source video and audio generation model from Lightricks that rivals closed commercial tools - at zero cloud cost.

Mistral Small 4 packs reasoning, vision, and agentic coding into a 119B MoE under Apache 2.0 - a serious small-model contender at a price that's hard to ignore.

Google's Gemini 3.1 Flash-Lite delivers frontier-class benchmarks at a fraction of the cost of Pro - but a sluggish first-token response and preview-only status mean it's not for every workload.

Kling 3.0 brings native 4K at 60fps, multi-shot AI Director, and single-pass audio to AI video - here's whether it lives up to the hype.

Luma Agents coordinates text, image, video, and audio from a single brief using the Uni-1 unified model - a genuine architectural leap, with some real rough edges still showing.

Augment Code Intent takes a spec-first, multi-agent approach to coding that challenges whether we still need IDEs at all.

Perplexity Computer orchestrates 19 AI models to run complex multi-step tasks in the background - impressive research depth, punishing credit costs.

MiniMax M2.5 matches Claude Opus 4.6 on SWE-Bench at 1/20th the price - but a spike in hallucinations and a distillation controversy complicate the story.

GPT-5.4 brings native computer use, a 1M token context window, and serious coding muscle to OpenAI's mainline model - but at a premium price.

Mercury 2 by Inception Labs is the fastest reasoning LLM available, built on diffusion architecture. We tested the speed, quality, and real-world trade-offs.

Mistral Vibe 2.0 pairs the open-weight Devstral 2 model with a terminal-native coding agent. We tested it head-to-head against Claude Code and Codex.

Two very different approaches to desktop AI hardware - a 32 GB eGPU with 1,792 GB/s bandwidth versus a 128 GB unified memory mini PC with full CUDA. Which one should you buy?