REDDIT · REDDIT// 38d agoNEWS

Qwen3.5 4B punches above size in local benchmarks

A LocalLLaMA user benchmarked several models on Ollama (7900XTX) and found Qwen3.5 variants highly competitive, with the 4B model posting a 0.98 overall score and strong long-conversation recall. The post frames Qwen3.5 small models as unusually capable for local, lower-compute setups.

// ANALYSIS

This is anecdotal but still meaningful signal: small open models are getting good enough for real local agent workflows, not just toy demos.

–Qwen3.5 4B matched top-tier overall results while keeping latency and throughput practical for consumer hardware.
–Per-case and long-conversation tables suggest strong consistency on instruction-following and memory-style tasks.
–The comparison includes widely used local baselines (Mistral, DeepSeek, Llama), making the result more useful to practitioners.
–Because methodology is custom and sample size is limited, this is best read as directional evidence rather than definitive leaderboard truth.

// TAGS

qwen3-5llmbenchmarkinferenceopen-weights

DISCOVERED

38d ago

2026-03-05

PUBLISHED

38d ago

2026-03-04

RELEVANCE

8/ 10

AUTHOR

Di_Vante