January 2025 Mistral Small 24B instruction-tuned model.
Google's high-efficiency model for focused subagent work and multi-agent workflows.
No shared agent demos for these models yet.
No captured outputs for these models yet.
This model hasn't been benchmarked yet.
This model hasn't been benchmarked yet.
Both Mistral Small 24B (Jan 2025) and Gemini 3.5 Flash-Lite 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. Mistral Small 24B (Jan 2025): $0.05 input / $0.08 output. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output.
Gemini 3.5 Flash-Lite has a larger context window: Mistral Small 24B (Jan 2025) supports 33K tokens vs Gemini 3.5 Flash-Lite at 1M tokens.
Gemini 3.5 Flash-Lite supports vision/image input, but Mistral Small 24B (Jan 2025) does not.
Key differences: Mistral Small 24B (Jan 2025) is significantly cheaper; only Gemini 3.5 Flash-Lite supports vision input; only Gemini 3.5 Flash-Lite 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 Mistral Small 24B (Jan 2025) and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.