A collection of 7 posts
The anonymous Stealth model on OpenRouter had a 1M context, a 524,288-token output cap found on no other model, and no lab behind it. Here is the evidence for MiniMax M3.1-Flash-Preview, the counter-case, and how to fingerprint a stealth model yourself.
GLM-5.2 leads MiniMax M3 by 4.5 points on Artificial Analysis's Intelligence Index v4.3.2 — but only at its Max reasoning tier. M3 wins on price and owns image and video input. GLM-5.3-Flash now beats both on capability and cost.
MiniMax M3 is not released as of May 2026. Here's what's actually shipping (M2.7), where the 'M3.0 released' claim came from, and how to verify it.
Learn how to run MiniMax‑M2.7 locally using GGUF, llama.cpp, and vLLM, with hardware needs, benchmarks, pricing, and examples.
DeepSeek V4 is out — Pro and Flash tiers, MIT license, 1M context, and pricing that undercuts the frontier by up to 11×. Here's how it stacks up against Qwen3.5, Kimi K2.5, MiniMax M2.7, GPT-5.4, and Claude Opus 4.6.
MiniMax M2.7 setup, usage, benchmarks, pricing, and comparisons for coding and agent workflows, with real test data and step‑by‑step guidance.
Learn how to run uncensored MiniMax M2.1 PRISM 2026 locally on CPU with quantization, benchmarks, hardware requirements, and setup to build a private, high‑performance self‑hosted LLM for coding and security research.