Big Model Value Wars - DeepSeek V4 Pro vs MiMo-V2.5-Pro vs MiniMax M3

Reddit r/LocalLLaMA News

Summary

A discussion comparing DeepSeek V4 Pro, MiMo-V2.5-Pro, and MiniMax M3 for best value in local or openrouter use, with a focus on agentic and coding tasks, and mentions of Hermes Agent and Qwen 3.6 variants.

For those who sometimes boost their local model use with openrouter options, or the madlads who have the infrastructure to actually run those locally, it feels like those three model have the edge in best bang for your buck. How then do you decide which one to use? Do you have a strong opinion on which model is best? Or do you have specific use cases? Personally I'm thinking for agentic and coding use cases, paired with Hermes Agent (now trying Desktop) as well as both Qwen 3.6 27b and 35b. Which model do you recommend of the three and why? Or do you have preferences outside those three?
Original Article

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after a month with 5 Chinese coding LLMs, is M3 actually going to take the top spot?

Reddit r/ArtificialInteligence

A user shares a month-long comparison of five Chinese coding LLMs (Kimi K2.6, GLM-5.1, MiMo V2.5 Pro, MiniMax 2.7, DeepSeek V4 Pro) on a TypeScript/Next.js codebase, rating each in categories like frontend, backend, code review, all-rounder, and reasoning. They note MiniMax 2.7 achieves ~90% of Opus 4.6 quality at ~7% cost and speculate whether the upcoming MiniMax 3.0 will close gaps in planning and test coverage to become the top spot.