Tiny 3B edge model from Meta optimized for on-device deployment.
MiniMax's multimodal foundation model for long-horizon agentic work.
No shared agent demos for these models yet.
No captured outputs for these models yet.
This model hasn't been benchmarked yet.
This model hasn't been benchmarked yet.
Both Llama 3.2 3B and MiniMax M3 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.
Llama 3.2 3B has a lower blended cost. Llama 3.2 3B: $0.05 input / $0.34 output. MiniMax M3: $0.30 input / $1.20 output.
MiniMax M3 has a larger context window: Llama 3.2 3B supports 80K tokens vs MiniMax M3 at 524K tokens.
MiniMax M3 supports vision/image input, but Llama 3.2 3B does not.
Key differences: Llama 3.2 3B is significantly cheaper; only MiniMax M3 supports vision input; only MiniMax M3 offers extended reasoning mode. 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 Llama 3.2 3B and MiniMax M3 for free on idapt.app to see which performs better for your specific needs.