MLX Benchmarks vs ModelPrompt

MLX Benchmark helps you understand how large language models perform on your hardware. Select a model and quantization, set context length and iterations, and run repeatable benchmarks that capture load time, tokenization time, time to first token, throughput, memory usage, and jitter. View detailed metrics grids, visualize comparisons in charts, and manage downloaded model repos directly in the app. Built for developers and AI enthusiasts who want clear, on-device performance insights without leaving their device. Features: - Model selection with quantization details - Configurable prompt, context length, and iterations - Metrics for load, tokenization, first-token latency, throughput, jitter, and memory - Charts to compare runs and devices - Downloaded model management (list, delete, refresh) - Optional Supabase upload for aggregating benchmark results

ModelPrompt instantly generates optimized prompts for any AI image or video model. Stop guessing what works — get perfectly formatted prompts tailored to each model's requirements. SUPPORTED MODELS - Image: FLUX, SDXL, Midjourney, Nano Banana, Seedream, GPT Image 1.5, Grok Aurora, Z-Image Turbo - Video: Kling, Veo, Wan, Sora, Hailuo/MiniMax KEY FEATURES - Model-Specific Formatting — Each AI model has different prompt requirements. ModelPrompt automatically formats your ideas for maximum quality. - Character Presets — Save your AI character once, reuse everywhere. Consistent results across all your generations. - Smart Prompt Builder — Choose style, lighting, camera angle, mood and more from curated options that actually work. - Prompt History — Never lose a great prompt. Search, copy, and reuse your favorites. - Works Offline — No internet needed. Your prompts stay private on your device. PERFECT FOR - AI artists and creators - Social media content creators - AI influencer creators - Anyone using AI image/video tools FREE TO START Try with FLUX and SDXL for free. Unlock all 20+ models with Pro. Built by AI creators, for AI creators.