LLM Leaderboard 2026: Compare 300+ Top AI Models by Intelligence, Speed & Price

A comprehensive new LLM Leaderboard for 2026 has emerged, comparing over 300 AI models across reasoning, coding, agent performance, speed, pricing, and context length. The composite LLM Stats Score aggregates GPQA Diamond, SWE-Bench Verified, and coding-arena results. Currently, Anthropic's unreleased Claude Mythos Preview leads the reasoning category with an impressive 94.6% on GPQA Diamond, making it the top choice for complex logical tasks. Google's Gemini 3.1 Pro dominates coding with the highest coding-arena score. For cost-conscious professionals, Moonshot AI's open-weights Kimi K2.6 ranks 6th overall and is the cheapest in the top 10 at just $0.95 per million tokens, also beating many proprietary models on reasoning (90.5% GPQA).

In terms of speed and context, xAI's Grok-4.20 Beta Non-Reasoning offers the largest practical context window at 2.0 million tokens, ideal for long-document and multi-turn conversations. Mercury 2 claims the fastest output at 1,487 tokens per second. OpenAI's GPT-5.5 ranks second overall, with new entrants like ByteDance's Seed 2.0 Pro and Meta's Muse Spark also appearing in the top 20. DeepSeek's V4-Pro-Max, an open-weights model, ranks 18th with competitive performance and pricing at $1.93/M tok. The leaderboard updates continuously and allows filtering by 30-day or 90-day trends, helping professionals choose the best model for their specific use case—whether prioritizing reasoning, coding, speed, cost, or open-source flexibility.