The open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total.
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 Qwen3.8 2.4T A95B 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.
Gemma 4 31B has a lower blended cost. Qwen3.8 2.4T A95B: $2.00 input / $6.00 output. Gemma 4 31B: $0.12 input / $0.37 output.
Qwen3.8 2.4T A95B has a larger context window: Qwen3.8 2.4T A95B supports 1M tokens vs Gemma 4 31B at 262K tokens.
Gemma 4 31B supports vision/image input, but Qwen3.8 2.4T A95B does not.
Key differences: Gemma 4 31B is significantly cheaper; only Gemma 4 31B 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 Gemma 4 31B for free on idapt.app to see which performs better for your specific needs.