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GPT-5.6 Luna vs Qwen 3.6 Flash, the Alibaba API alias for Qwen3.6-35B-A3B, compared across official coding, agent, reasoning and vision benchmarks, context, multimodality and pricing.
GPT-5.6 Luna vs GPT-5.4 mini compared across official coding, reasoning, tool-use, multimodal, computer-use and long-context results, plus pricing and a practical routing strategy.
GPT-5.6 Luna vs MiniMax M3 compared across coding, browsing, 1M context, video input, agent workflows, pricing and open-weight deployment. Luna leads published coding rows; M3 brings multimodal value.
GPT-5.6 Luna vs GLM 5.2 compared across coding, reasoning, long context, tools, pricing, licensing and deployment. Luna has the stronger managed capability package; GLM 5.2 brings MIT weights and lower output cost.
Every AI model claims a 1M-token context window. But only GPT-5.5 and Claude Opus 4.6 actually use it. We analyzed MRCR v2, NIAH-2, and Graphwalks to show the 60-point gap between the best and worst "1M-capable" models — and which one to trust for long-context coding.