SmolLM3-3B joins mobile SLM shortlist

SmolLM3-3B is a sensible next test, but the thread’s real signal is that mobile SLM selection is about feel more than hype: latency, battery draw, and how well the model survives quantization matter most.

• –SmolLM3 is a compact 3B open model with long context, multilingual support, and tool-calling, so it fits the “capability per byte” brief well.
• –The community reply pattern leans toward Qwen3.5, which suggests many users still value practical on-device performance over raw benchmark appeal.
• –For phone use, a 2B-class model may be the sweet spot if responsiveness and power efficiency matter more than richer reasoning.
• –The best comparison is side by side on your actual workflow: short chats, offline assistance, and multi-turn memory, not just leaderboard scores.