MiniMax's previous flagship model — strong long context and multimodal.
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 M1 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 M1 has a lower blended cost. MiniMax M1: $0.55 input / $2.20 output. DeepSeek V4 Pro (0813): $0.66 input / $1.98 output.
DeepSeek V4 Pro (0813) has a larger context window: MiniMax M1 supports 1M tokens vs DeepSeek V4 Pro (0813) at 1M tokens.
MiniMax M1 and DeepSeek V4 Pro (0813) 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 M1 and DeepSeek V4 Pro (0813) for free on idapt.app to see which performs better for your specific needs.