MiniMax's flagship MoE model with 1T parameters.
The GA release of DeepSeek's open 1.6T-parameter MoE flagship for advanced reasoning and long-horizon agents.
No shared demos for these models yet.
No captured outputs for these models yet.
Both MiniMax M2 and DeepSeek V4 Pro (0813) are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.
MiniMax M2 has a lower blended cost. MiniMax M2: $0.30 input / $1.20 output. DeepSeek V4 Pro (0813): $0.66 input / $1.98 output.
DeepSeek V4 Pro (0813) has a larger context window: MiniMax M2 supports 205K tokens vs DeepSeek V4 Pro (0813) at 1M tokens.
Key differences: MiniMax M2 is significantly cheaper. Compare full specs on this page.
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 and DeepSeek V4 Pro (0813) for free on idapt.app to see which performs better for your specific needs.