Compare Z.AI: GLM 4.6 by Zhipu AI against MiniMax M1 by MiniMax, context windows of 203K vs 1.0M, tested across 54 shared challenges. Updated May 2026.
Z.AI: GLM 4.6 and MiniMax M1 are both competitive models. Z.AI: GLM 4.6 costs $0.4/M input tokens vs $0.3/M for MiniMax M1. Context windows: 203K vs 1000K tokens. Compare their real outputs side by side below.
Z.AI: GLM 4.6 is made by zhipu while MiniMax M1 is from minimax. Z.AI: GLM 4.6 has a 203K token context window compared to MiniMax M1's 1000K. On pricing, Z.AI: GLM 4.6 costs $0.4/M input tokens vs $0.3/M for MiniMax M1.
MiniMax M1 is cheaper on both — 1.3× input, 1.1× output
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
Z.AI: GLM 4.6 uses 2.7x more transitions
Compare Z.AI: GLM 4.6 by Zhipu AI against MiniMax M1 by MiniMax, context windows of 203K vs 1.0M, tested across 54 shared challenges. Updated May 2026.
Z.AI: GLM 4.6 and MiniMax M1 are both competitive models. Z.AI: GLM 4.6 costs $0.4/M input tokens vs $0.3/M for MiniMax M1. Context windows: 203K vs 1000K tokens. Compare their real outputs side by side below.
Z.AI: GLM 4.6 is made by zhipu while MiniMax M1 is from minimax. Z.AI: GLM 4.6 has a 203K token context window compared to MiniMax M1's 1000K. On pricing, Z.AI: GLM 4.6 costs $0.4/M input tokens vs $0.3/M for MiniMax M1.
MiniMax M1 is cheaper on both — 1.3× input, 1.1× output
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
Z.AI: GLM 4.6 uses 2.7x more transitions