MiniMax's most capable model, built for autonomous real-world productivity with subagent collaboration.
Open-source 1.6T-parameter MoE with 49B active, built for advanced reasoning and long-horizon agents.
No shared agent demos for these models yet.
No captured outputs for these models yet.
Based on the Capability Index, DeepSeek V4 Pro scores higher (81.6 vs 77.9). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
MiniMax M2.7 has a lower blended cost. MiniMax M2.7: $0.25 input / $1.00 output. DeepSeek V4 Pro: $0.43 input / $0.87 output.
DeepSeek V4 Pro has a larger context window: MiniMax M2.7 supports 197K tokens vs DeepSeek V4 Pro at 1M tokens.
MiniMax M2.7 and DeepSeek V4 Pro have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.
If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both MiniMax M2.7 and DeepSeek V4 Pro for free on idapt.app to see which performs better for your specific needs.