Nemotron 3 4B Disappoints vs Qwen 3.5 4B Benchmarks

🔑 Enhanced Key Takeaways

• •Nemotron 3 Nano 30B A3B, a larger variant, has a 1M token context window but trails Qwen3.5-4B in GPQA (75.0% vs 76.2%), MMLU-Pro (78.3% vs 79.1%), and MMLU-ProX (59.5% vs 71.5%) benchmarks[1][3].
• •Qwen3.5-4B supports multimodal inputs including images, unlike Nemotron 3 Nano 30B A3B which is text-only[1].
• •Nemotron 3 Nano 30B A3B released in December 2025, postdating Qwen3 4B's April 2025 launch, yet underperforms the smaller model in key reasoning metrics[3].
• •Qwen 3.5 achieves top leaderboard scores like 88.4% on GPQA Diamond and 92.6% on IFEval, highlighting superior instruction following and scientific reasoning[5].

🛠️ Technical Deep Dive

• •Nemotron 3 Nano 30B A3B uses Mixture of Experts (MoE) architecture with 31.6B total parameters and 3.6B active at inference, supporting up to 1M token context window[3][4].
• •Qwen3.5-4B is a dense 4B parameter model with multimodal capabilities for text and images, excelling in standardized reasoning benchmarks without specified MoE usage[1].
• •Larger Nemotron 3 Super (120B total, 12B active) employs Hybrid Mamba-2 + Transformer + LatentMoE, but still lags Qwen3.5-122B on SWE-Bench Verified (60.47% vs 66.40%)[2].

🔮 Future ImplicationsAI analysis grounded in cited sources

⏳ Timeline