AINewsnow

I tested LFM2.5-24B-A2B vs Qwen3.6-35B-A3B on 75 fresh multi-step tool tasks. Qwen solved 91%, LFM2.5 49%, and LFM2.5 said "done" on most of its failures

Liquid's model card says LFM2.5-24B-A2B is "competitive with Qwen3.6-35B-A3B on agentic and tool-use tasks." I wanted to know if that holds for how most of us run it, so I tested both locally. **Setup** - Both Q4_K_M (Liquid's official GGUF 14.5 GB, bartowski's Qwen 22.3 GB) - Stock llama.cpp b1096…

Read the full story at r/LocalLLM ↗

Timeline · 1 report

  1. 2026-10-27 13:53 · r/LocalLLM
    I tested LFM2.5-24B-A2B vs Qwen3.6-35B-A3B on 75 fresh multi-step tool tasks. Qwen solved 91%, LFM2.5 49%, and LFM2.5 said "done" on most of its failures

More stories

  1. I ran a blind test on local AI agents. Here are the results, guess who's who — r/AI_Agents
  2. model: DSV4.1 flash by am17an · Pull Request #31086 · ggml-org/llama.cpp — r/LocalLLaMA
  3. I ran local AI inference (AMD GPU) for 30 days and measured every watt — here's the real cost vs cloud APIs — r/LocalLLM
  4. What's the best front-end for LLM assisted studying? — r/LocalLLM
  5. Cohere says Alibaba’s Qwen model tried to send a file to Beijing — TechCrunch AI
  6. Qwen 3.8 Flash Next on 9060 XT 16GB — r/LocalLLM
  7. Alibaba's latest Qwen models routed some requests through company servers, researchers find — The Decoder
  8. New Strata [engine] 0.1.52 is really impressive with Qwen 3.8 FN — r/LocalLLM

Get the daily brief of stories like this at 6:30 every morning →