Agents-A1-4B (Qwen3.7-4B ???) : Scaling the Horizon, Not the Parameters

Reddit r/LocalLLaMA 07/15/26, 04:42 PM Models

agents benchmark small-model state-of-the-art open-source qwen

Summary

Agents-A1-4B, a compact 4B-parameter model from InternScience, achieves state-of-the-art results across multiple agentic and reasoning benchmarks, outperforming larger models by scaling capabilities rather than parameters.

MODEL + GGUF : https://huggingface.co/InternScience/models?search=a1-4b Technical Report Benchmark Qwen3.5-4B Agents-A1-4B Qwen3.5 Qwen3.6 Nex-N2-mini Agents-A1 🧠 Dense Models (~4B) 🔀 MoE Models (35B-A3B) 🔍 Long-horizon Search BrowseComp 47.2 66.8 61.0 67.9 74.1 🥇 75.5 XBench-DS-2510 73.0 🥇 90.0 77.0 71.0 82.0 86.0 Seal0 31.5 45.8 41.4 38.7 49.6 🥇 56.4 GAIA 58.3 95.1 59.8 78.6 82.5 🥇 96.0 ⚙️ Engineering & Research Tasks SciCode 16.1 29.6 37.7 35.8 29.9 🥇 44.3 MLE-Lite 7.6 22.7 24.2 34.9 34.9 🥇 43.9 LiveCodeBench-V6 55.8 59.6 76.2 🥇 78.1 59.1 76.2 FrontierScience-Research 1.7 33.3 2.5 2.9 5.0 🥇 40.0 📋 Instruction Following IFBench 59.2 69.1 70.2 64.4 54.1 🥇 80.6 LongBench-v2 50.0 52.1 59.0 57.7 59.6 🥇 60.2 IFEval 89.8 🥇 94.8 91.9 91.3 88.4 🥇 94.8 🤖 General & Scientific Agentic Tasks τ²-Bench 79.9 78.2 🥇 81.2 79.0 74.5 79.8 VitaBench 22.0 🥇 40.3 31.9 35.6 23.0 38.8 MatTools 10.9 🥇 49.3 21.0 15.9 34.1 47.1

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