DeepSeek V4 Pro vs GLM-4.7

Treat this as a split decision. DeepSeek V4 Pro makes more sense if agentic is the priority or you need the larger 1M context window; GLM-4.7 is the better fit if coding is the priority or you want the cheaper token bill.

DeepSeek V4 Pro and GLM-4.7 finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.

DeepSeek V4 Pro is also the more expensive model on tokens at $1.74 input / $3.48 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-4.7. That is roughly Infinityx on output cost alone. GLM-4.7 is the reasoning model in the pair, while DeepSeek V4 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. DeepSeek V4 Pro gives you the larger context window at 1M, compared with 200K for GLM-4.7.