OpenAI's fastest, most affordable GPT-5.6 tier for high-volume, latency-sensitive work.
MiniMax's flagship MoE model with 1T parameters.
No shared demos for these models yet.
No captured outputs for these models yet.
Both GPT 5.6 Luna and MiniMax M2 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. GPT 5.6 Luna: $1.00 input / $6.00 output. MiniMax M2: $0.30 input / $1.20 output.
GPT 5.6 Luna has a larger context window: GPT 5.6 Luna supports 1.1M tokens vs MiniMax M2 at 205K tokens.
GPT 5.6 Luna supports vision/image input, but MiniMax M2 does not.
Key differences: MiniMax M2 is significantly cheaper; only GPT 5.6 Luna supports vision input. 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 GPT 5.6 Luna and MiniMax M2 for free on idapt.app to see which performs better for your specific needs.