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// 84d 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
84d ago
2026-03-05
PUBLISHED
84d ago
2026-03-04
RELEVANCE
8/ 10
AUTHOR
Di_Vante