Google's fourth-generation open dense model with native multimodal understanding.
InclusionAI's hybrid vision-language model, layering native visual perception on the Ling 3.0 Flash MoE (124B total, 5.5B active).
No shared demos for these models yet.
No captured outputs for these models yet.
Both Gemma 4 31B and Ling 3.0 Flash VL 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.
Ling 3.0 Flash VL has a lower blended cost. Gemma 4 31B: $0.09 input / $0.34 output. Ling 3.0 Flash VL: $0.02 input / $0.06 output.
Gemma 4 31B has a larger context window: Gemma 4 31B supports 262K tokens vs Ling 3.0 Flash VL at 262K tokens.
Yes, both Gemma 4 31B and Ling 3.0 Flash VL support vision/image input.
Key differences: Ling 3.0 Flash VL is significantly cheaper. 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 Gemma 4 31B and Ling 3.0 Flash VL for free on idapt.app to see which performs better for your specific needs.