WhatLLM

✨Key Features

• ▸Comprehensive Side-by-Side Comparison: Interactive tools to compare up to 4 models at once with radar charts, tables, and filters for price, speed, quality, context size, and more.
• ▸Benchmark Coverage: Tracks frontier benchmarks including math (AIME/MATH), coding (LiveCodeBench/SWE-bench), agentic/tool use (Terminal-Bench, τ²-Bench), reasoning, general knowledge, and multimodal capabilities.
• ▸Specialized Rankings & Guides: Regular blog posts with expert picks, e.g., best models for coding, agentic AI, long-context, open-source/self-hosted, cost-effectiveness, and monthly top-3 recommendations (e.g., January 2026 highlights Claude Opus 4.5 for reasoning, GLM-4.7 for open-source value).
• ▸Pricing Intelligence: Real-time API pricing from providers, showing cost-per-million-tokens, value (quality per dollar), and comparisons highlighting open-source models often 5-10x cheaper than proprietary ones at near-parity performance.
• ▸Use Case Focus: Dedicated sections for coding/debugging, mathematical/logical tasks, writing/Q&A, large documents/codebases, autonomous agents, and production reliability.
• ▸Transparency & Methodology: Uses rigorous, independent data from Artificial Analysis; includes open-source vs proprietary analyses, deployment recommendations (self-host vs API), and practical tips.
• ▸Community & Updates: Weekly refreshes, in-depth model battles (e.g., GLM-4.5 vs Kimi-K2), and forward-looking insights on trends like price collapse and open-source closing the gap.
• ▸Target Users: Developers, AI engineers, businesses, researchers, and anyone choosing the right LLM for projects — from cost-sensitive startups to enterprises needing reliable agentic performance.