Compact 7B model from Qwen 2.5 for efficient deployment.
Google's fourth-generation open dense model with native multimodal understanding.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Qwen2.5 7B and Gemma 4 31B 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. Qwen2.5 7B: $0.10 input / $0.20 output. Gemma 4 31B: $0.20 input / $0.40 output.
Gemma 4 31B has a larger context window: Qwen2.5 7B supports 33K tokens vs Gemma 4 31B at 262K tokens.
Gemma 4 31B supports vision/image input, but Qwen2.5 7B does not.
Key differences: 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 Qwen2.5 7B and Gemma 4 31B for free on idapt.app to see which performs better for your specific needs.