Head-to-head comparison of Qwen3.5-35B-A3B and GLM-4.7-Flash - two Chinese-origin 30B-A3B MoE models with Apache 2.0/MIT licenses that dominate different benchmarks despite near-identical parameter budgets.
David vs Goliath: Qwen3.5-35B-A3B activates 3B parameters and beats Llama 4 Scout's 17B active on MMLU-Pro, GPQA, and coding benchmarks - but Scout's 10M context window and native multimodal support tell a different story.
A data-driven comparison of Alibaba's Qwen3.5-35B-A3B and NVIDIA's Nemotron 3 Nano 30B-A3B - two ~30B MoE models activating ~3B parameters that take fundamentally different architectural approaches to the same problem.
A detailed comparison of Qwen3.5-Flash and DeepSeek V3.2 API pricing, benchmarks, and tradeoffs - flat-rate simplicity versus cache-dependent discounts in the budget AI tier.
A data-driven comparison of Qwen3.5-Flash and Gemini 2.5 Flash-Lite - two models at the exact same $0.10/$0.40 per million token price point with 1M context windows but very different performance profiles.
A detailed comparison of Qwen3.5-Flash and GPT-4o mini covering benchmarks, pricing, context windows, and ecosystem - the new open-source challenger versus OpenAI's entrenched budget API.
