GPT-4o (Omni) vs MiniMax M1
Compare GPT-4o (Omni) by OpenAI against MiniMax M1 by MiniMax, context windows of 128K vs 1.0M, tested across 53 shared challenges. Updated May 2026.
Which is better, GPT-4o (Omni) or MiniMax M1?
GPT-4o (Omni) and MiniMax M1 are both competitive models. GPT-4o (Omni) costs $2.5/M input tokens vs $0.3/M for MiniMax M1. Context windows: 128K vs 1000K tokens. Compare their real outputs side by side below.
Key Differences Between GPT-4o (Omni) and MiniMax M1
GPT-4o (Omni) is made by openai while MiniMax M1 is from minimax. GPT-4o (Omni) has a 128K token context window compared to MiniMax M1's 1000K. On pricing, GPT-4o (Omni) costs $2.5/M input tokens vs $0.3/M for MiniMax M1.
Per 1M tokens
MiniMax M1 is cheaper on both — 8.3× input, 6.1× 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 6.1x cheaper per token — worth considering if cost matters.
Style Comparison
GPT-4o (Omni) uses 8.1x more transitions
