智谱AI新出的GLM 5.3 FlashX模型，性能确实有提升，但价格比之前贵不少，而且被DeepSeek的v4.1 Flash模型给超越了。
智谱AI发布的GLM 5.3 FlashX模型在性能上有所提升，但价格明显更高。该模型在GLM-4.5V基准测试中取得了新的成绩。相比之下，DeepSeek v4.1 Flash模型在相同测试中表现更优。
GLM 5.3 FlashX is getting really good, but clearly more expensive (also mogged by DeepSeek v4.1 Flash) 💬 0 🔄 1 ❤️ 13 👀 806 📊 3 ⚡
The framework shifts efficiency analysis from raw benchmark scores to value-per-joule, a metric that will matter as data-centre energy costs and grid constraints increasingly cap AI deployment. Teams choosing models or hardware can use it to justify smaller models like Gemma 4 31B over larger ones when value per joule outweighs per-task output. It pairs with GDPWorks for organisations benchmarking agentic work beyond the original 44 occupations.
The technique shows that partitioning a single GPU with CUDA Green Contexts removes the resource contention between dispatch warps and GEMM warps that limits fused MoE operators like Mega MoE. Practitioners serving DeepSeek-V4.1-Flash or GLM-5.2 on Hopper or Blackwell clusters can adopt the open-source operator to cut decode latency without extra hardware. The results on H20 GPUs, a China-market chip, make it especially relevant for deployments where H100-class hardware is unavailable.
如果你在华为云上跑 openPangu-2.0，11 月底就得换了，官方指的替代是 DeepSeek-V4.1-Flash 和 GLM-5.3，记得提前迁移。
Revolut 让 2000 个工程师改用自托管 GLM 写代码，成本只有原来的十分之一，交付还快了 70%，这账算得很清楚。
华为云的盘古两款开源模型要下线了，官方还给了替代方案，用着的朋友记得提前迁移评测。
