Google's fourth-generation open dense model with native multimodal understanding.
Distilled reasoning model based on Llama 3.3 70B using DeepSeek R1 outputs.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Gemma 4 31B and DeepSeek R1 Distill Llama 70B 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. DeepSeek R1 Distill Llama 70B: $0.80 input / $0.80 output.
Gemma 4 31B has a larger context window: Gemma 4 31B supports 262K tokens vs DeepSeek R1 Distill Llama 70B at 8K tokens.
Gemma 4 31B supports vision/image input, but DeepSeek R1 Distill Llama 70B 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 Gemma 4 31B and DeepSeek R1 Distill Llama 70B for free on idapt.app to see which performs better for your specific needs.