mixture of experts Articles
Browse 9 articles about mixture of experts.
Inkling 2 Small: Thinking Machines' New MoE Model Tested
Thinking Machines' Inkling 2 Small is a 594B MoE model with strong vision and autonomy, but mixed coding benchmarks. Here's what it gets right.
Kimi K3.1 Pro Benchmarks: Does It Really Beat GPT-6 Astra?
Kimi K3.1 Pro claims to beat Opus 5.5 and GPT-6 Astra on paper. Independent tests tell a more complicated, cheaper story.
What Is the Eureka Machine? Inside Recursive AI's Self-Improving Builder
Recursive AI used an automated research loop called the Eureka Machine to design Flint's architecture, quantization, and GPU kernels.
Aleph Alpha Kolibri 1: Germany's Open-Weight MoE Reasoning Model
Kolibri 1 is Aleph Alpha's 78B mixture-of-experts model for German and English, with 1M-token context and Apache 2.0 licensing.
Open Weights vs Enterprise Lock-In: Cohere and Reflection AI's Split Bets
Cohere's North 2 locks AI inside enterprise walls while Reflection AI's Beam promises open weights. Here's what the split strategy means.
Kolibri-1: Aleph Alpha's Open-Weight German-English MoE Model
Kolibri-1 is Aleph Alpha's 78B MoE model with 3.5B active params, 1M context, and Apache 2.0 license, built for German and English.
GLM 5.3 Flash vs GLM 5.3: Which Should You Use?
GLM 5.3 Flash and GLM 5.3 compared on architecture, pricing, and benchmarks to help you pick the right ZAI model for your workload.
GLM-5.3-Flash: Specs, Benchmarks, and Local Deployment Guide
GLM-5.3-Flash is a 320B-parameter multimodal MoE model with 18B active params, rivaling Claude Opus 4.8 at a fraction of the cost.
What Is Maple-Preview? DeepGrove's Ternary-Weight Reasoning Model
Maple-Preview is DeepGrove's 20B-A1B ternary-weight reasoning model, hitting 200+ tok/s on a Mac mini M4. Here's how it works.