Google's fourth-generation open dense model with native multimodal understanding.
July 2025 Qwen3 30B MoE model with always-on extended thinking.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Gemma 4 31B and Qwen3 30B A3B Thinking (2507) 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. Gemma 4 31B: $0.12 input / $0.37 output. Qwen3 30B A3B Thinking (2507): $0.13 input / $1.56 output.
Gemma 4 31B has a larger context window: Gemma 4 31B supports 262K tokens vs Qwen3 30B A3B Thinking (2507) at 82K tokens.
Gemma 4 31B supports vision/image input, but Qwen3 30B A3B Thinking (2507) does not.
Key differences: 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 Gemma 4 31B and Qwen3 30B A3B Thinking (2507) for free on idapt.app to see which performs better for your specific needs.