Mistral's next-gen small model, unifying Magistral's reasoning, Pixtral's vision, and Devstral's coding into one system.
OpenAI's GPT-6 Luna served in pro reasoning mode for the hardest problems.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Mistral Small 4 and GPT 6 Luna Pro 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.
GPT 6 Luna Pro has a lower blended cost. Mistral Small 4: $0.15 input / $0.60 output. GPT 6 Luna Pro: $0.10 input / $0.50 output.
GPT 6 Luna Pro has a larger context window: Mistral Small 4 supports 262K tokens vs GPT 6 Luna Pro at 1.1M tokens.
Yes, both Mistral Small 4 and GPT 6 Luna Pro support vision/image input.
Mistral Small 4 and GPT 6 Luna Pro 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 GPT 6 Luna Pro for free on idapt.app to see which performs better for your specific needs.