YOU ARE VIEWING ONE ITEM FROM THE AICRIER FEED

Gemma 4, Qwen3.6 beat old 70Bs

AICrier tracks AI developer news across Product Hunt, GitHub, Hacker News, YouTube, X, arXiv, and more. This page keeps the article you opened front and center while giving you a path into the live feed.

// WHAT AICRIER DOES

7+

TRACKED FEEDS

24/7

SCRAPED FEED

Short summaries, external links, screenshots, relevance scoring, tags, and featured picks for AI builders.

Gemma 4, Qwen3.6 beat old 70Bs
OPEN LINK ↗
// 142d agoMODEL RELEASE

Gemma 4, Qwen3.6 beat old 70Bs

Local roleplay users say the newest Gemma and Qwen models are the first small open weights that can genuinely stand in for older 70B-class models. The big wins are speed, lower memory use, and better prompt following, with a few quirks around style consistency and duplication.

// ANALYSIS

The 70B floor is losing relevance fast; for local RP and general use, newer 26B-31B-class models are starting to win on practical quality-per-watt, not just raw size.

  • Gemma 4 is getting the strongest praise here, especially for prompt adherence, longer-session coherence, and cleaner prose than older 70B baselines.
  • Qwen’s newer releases are still competitive, but the thread skews toward Gemma for roleplay style, while Qwen looks stronger as a general-purpose or agentic model family.
  • Memory efficiency matters as much as quality: lower KV-cache demand and better context handling make these models much easier to run on consumer hardware.
  • The tradeoff is still real: some users note token duplication, occasional slop, and the fact that finetunes are still catching up.
  • Net: if you can’t run 70B, that’s less of a handicap than it used to be.
// TAGS
gemma-4qwen3-6llmreasoningmultimodalself-hostedopen-source

DISCOVERED

142d ago

2026-05-01

PUBLISHED

142d ago

2026-05-01

RELEVANCE

8/ 10

AUTHOR

Borkato