The open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total.
MiniMax's multimodal foundation model for long-horizon agentic work.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Qwen3.8 2.4T A95B 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.
MiniMax M3 has a lower blended cost. Qwen3.8 2.4T A95B: $2.00 input / $6.00 output. MiniMax M3: $0.30 input / $1.20 output.
Qwen3.8 2.4T A95B has a larger context window: Qwen3.8 2.4T A95B supports 1M tokens vs MiniMax M3 at 524K tokens.
MiniMax M3 supports vision/image input, but Qwen3.8 2.4T A95B does not.
Key differences: MiniMax M3 is significantly cheaper; only MiniMax M3 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 Qwen3.8 2.4T A95B and MiniMax M3 for free on idapt.app to see which performs better for your specific needs.