Data-driven analysis of AI model performance, pricing trends, and market dynamics. Reports will be published regularly with the latest rankings and benchmarks.
Claude Opus 4.6 and GPT-5.2 are locked in a tight race for the top coding model. This report breaks down SWE-bench, HumanEval, and real-world developer surveys to determine which model ships the best code in 2026.
Read reportFLUX 1.2 Pro and Midjourney V7 have redefined photorealism. We compare quality, speed, pricing, and enterprise adoption across 12 image generation models to find the best fit for every use case.
Read reportVideo generation has matured from short clips to full production-quality output. This report covers Sora, Runway Gen-4, Kling 2.0, and Veo 3 with benchmarks on consistency, motion quality, and cost per minute.
Read reportMoE architectures power some of the best-value models on the market: DeepSeek V3.1, Qwen 3.5, and Llama 4 Maverick. We analyze how sparse routing reduces cost while maintaining frontier performance.
Read reportInput token pricing has dropped 85% in 18 months. This report tracks pricing changes across all major providers, identifies the best value at each tier, and forecasts where prices are headed next.
Read reportFrom 4K to 2M tokens in two years. We test how models actually perform at extreme context lengths with needle-in-a-haystack evaluations, real document QA, and multi-file code analysis across 10 leading models.
Read reportAI Models Map reports are generated from real-time data across 60+ AI models. Our composite scoring methodology combines benchmark performance, community sentiment, Elo ratings, adoption metrics, and cost efficiency. All data is publicly verifiable.