Efficient vision-language MoE with linear attention and 3B active parameters.
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 Qwen3.5 35B A3B 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.
Qwen3.5 35B A3B has a lower blended cost. Qwen3.5 35B A3B: $0.15 input / $1.00 output. MiniMax M3: $0.30 input / $1.20 output.
MiniMax M3 has a larger context window: Qwen3.5 35B A3B supports 256K tokens vs MiniMax M3 at 524K tokens.
Yes, both Qwen3.5 35B A3B and MiniMax M3 support vision/image input.
Qwen3.5 35B A3B and MiniMax M3 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 Qwen3.5 35B A3B and MiniMax M3 for free on idapt.app to see which performs better for your specific needs.