MiniMax's flagship MoE model with 1T parameters.
Meta's latest multimodal reasoning model for long-running agentic, multi-agent, and coding workflows.
No shared demos for these models yet.
No captured outputs for these models yet.
Both MiniMax M2 and Muse Spark 1.3 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. Muse Spark 1.3: $1.25 input / $4.25 output.
Muse Spark 1.3 has a larger context window: MiniMax M2 supports 205K tokens vs Muse Spark 1.3 at 1M tokens.
Muse Spark 1.3 supports vision/image input, but MiniMax M2 does not.
Key differences: MiniMax M2 is significantly cheaper; only Muse Spark 1.3 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 MiniMax M2 and Muse Spark 1.3 for free on idapt.app to see which performs better for your specific needs.