Mistral's next-gen small model, unifying Magistral's reasoning, Pixtral's vision, and Devstral's coding into one system.
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 4 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 4 has a lower blended cost. Mistral Small 4: $0.15 input / $0.60 output. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output.
Gemini 3.5 Flash-Lite has a larger context window: Mistral Small 4 supports 262K tokens vs Gemini 3.5 Flash-Lite at 1M tokens.
Yes, both Mistral Small 4 and Gemini 3.5 Flash-Lite support vision/image input.
Mistral Small 4 and Gemini 3.5 Flash-Lite have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.
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 4 and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.