Compare MiniMax M1 by MiniMax against Qwen: Qwen3.7 Max by Qwen, context windows of 1.0M vs 1.0M, tested across 54 shared challenges. Updated May 2026.
MiniMax M1 and Qwen: Qwen3.7 Max are both competitive models. MiniMax M1 costs $0.3/M input tokens vs $2.5/M for Qwen: Qwen3.7 Max. Context windows: 1000K vs 1000K tokens. Compare their real outputs side by side below.
MiniMax M1 is made by minimax while Qwen: Qwen3.7 Max is from qwen. MiniMax M1 has a 1000K token context window compared to Qwen: Qwen3.7 Max's 1000K. On pricing, MiniMax M1 costs $0.3/M input tokens vs $2.5/M for Qwen: Qwen3.7 Max.
MiniMax M1 is cheaper on both — 8.3× input, 4.5× output
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
MiniMax M1 is 4.5x cheaper per token — worth considering if cost matters.
Qwen: Qwen3.7 Max uses 3.4x more transitions
Compare MiniMax M1 by MiniMax against Qwen: Qwen3.7 Max by Qwen, context windows of 1.0M vs 1.0M, tested across 54 shared challenges. Updated May 2026.
MiniMax M1 and Qwen: Qwen3.7 Max are both competitive models. MiniMax M1 costs $0.3/M input tokens vs $2.5/M for Qwen: Qwen3.7 Max. Context windows: 1000K vs 1000K tokens. Compare their real outputs side by side below.
MiniMax M1 is made by minimax while Qwen: Qwen3.7 Max is from qwen. MiniMax M1 has a 1000K token context window compared to Qwen: Qwen3.7 Max's 1000K. On pricing, MiniMax M1 costs $0.3/M input tokens vs $2.5/M for Qwen: Qwen3.7 Max.
MiniMax M1 is cheaper on both — 8.3× input, 4.5× output
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
MiniMax M1 is 4.5x cheaper per token — worth considering if cost matters.
Qwen: Qwen3.7 Max uses 3.4x more transitions