Google's fourth-generation open dense model with native multimodal understanding.
January 2025 Mistral Small 24B instruction-tuned model.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Gemma 4 31B and Mistral Small 24B (Jan 2025) 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.
Mistral Small 24B (Jan 2025) has a lower blended cost. Gemma 4 31B: $0.20 input / $0.40 output. Mistral Small 24B (Jan 2025): $0.05 input / $0.08 output.
Gemma 4 31B has a larger context window: Gemma 4 31B supports 262K tokens vs Mistral Small 24B (Jan 2025) at 33K tokens.
Gemma 4 31B supports vision/image input, but Mistral Small 24B (Jan 2025) does not.
Key differences: Mistral Small 24B (Jan 2025) 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 Mistral Small 24B (Jan 2025) for free on idapt.app to see which performs better for your specific needs.