Google's fourth-generation open dense model with native multimodal understanding.
Compact 7B model from Qwen 2.5 for efficient deployment.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Gemma 4 31B and Qwen2.5 7B 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.
Qwen2.5 7B has a lower blended cost. Gemma 4 31B: $0.12 input / $0.37 output. Qwen2.5 7B: $0.04 input / $0.10 output.
Gemma 4 31B has a larger context window: Gemma 4 31B supports 262K tokens vs Qwen2.5 7B at 33K tokens.
Gemma 4 31B supports vision/image input, but Qwen2.5 7B does not.
Key differences: Qwen2.5 7B is significantly cheaper; only Gemma 4 31B supports vision input; only Gemma 4 31B 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 Gemma 4 31B and Qwen2.5 7B for free on idapt.app to see which performs better for your specific needs.