GPT-6.1 Sol Explained: What Changed, Pricing and Benchmarks
OpenAI GPT-6.1 Sol launched with a new pricing tier. What is confirmed on capabilities, pricing and benchmarks, how it differs from GPT-6 Sol, and when to.
Bilibili Index-Translate-35B-A3B Explained: MoE Translation Model for 150 Languages
Bilibili Index-Translate-35B-A3B preview is a 35B MoE with 3B active parameters, Apache 2.0, 262K context. Architecture, translation quality caveats and.
Cloudflare Clef and Strands Decider: Decision Models for AI Agents Explained
Cloudflare Clef (27B, 9B Flash) and Amazon Strands Decider 2B are small Apache 2.0 decision models. How they work, where they fit in agent loops, and cost.
Xiaomi MiMo V2.6 Pro Explained: Open Weights, Architecture and Benchmarks
Xiaomi MiMo V2.6 Pro open weights explained: what is disclosed on architecture and training, Artificial Analysis index score, license, and local deployment.
Cognition SWE-2 Explained: Frontier Code Benchmark Results and Cost Trade-offs
Cognition SWE-2 reportedly scores 50 percent on Frontier Code at 70 percent lower cost. What is verified, how coding benchmarks mislead, and how to evaluate it.
OpenAI Agents API Public Beta: Managed Sandboxes vs Self-Hosted Agent Runtimes
OpenAI Agents API entered public beta with sandboxes near $0.03 per 20 minutes. Managed agent runtimes vs self-hosted sandboxes on cost and control.
Meta Muse and Muse Code: Personal Agent Architecture and Pricing Explained
Meta Muse is a 24/7 personal agent and Muse Code a coding tier. What is confirmed on tiers and quota, plus engineering trade-offs of always-on agents.
Grok 4.7 Explained: xAI Architecture, CursorBench Results and Pricing
Grok 4.7 from xAI explained: what is disclosed on architecture, the CursorBench 46 percent result, API pricing near $2 per million tokens, and how it compares.
Tencent Hy4 Explained: 770B MoE, Sherry Quantization and Open Weights
Tencent Hy4 preview explained: 770B total and 49B active MoE, Apache 2.0, Sherry quantization to about 214GB, and what it takes to run it locally.
DeepSeek V4.1 Flash Explained: MoE Architecture, KV Cache, Benchmarks
DeepSeek V4.1 Flash explained: 552B MoE with small active parameters, MIT license, KV-cache savings, benchmarks, and how to self-host or call it by API.