AI Leaderboards 2025 - Compare LLM, TTS, STT, Video, Image & Embedding Models
A unified leaderboard tracking performance, pricing, and benchmarks across all AI modalities—LLMs, image generation, video, audio, and embeddings—with real arena scores and standardized metrics.
Read Original Summary used for search
TLDR
• Aggregates 220+ AI models across 6 modalities (LLM, image gen, video gen, TTS, STT, embeddings) with standardized benchmarks
• Shows real performance data: Gemini 3 Pro leads coding arena (1,548), Claude Opus 4.5 dominates chat (1,319), with actual pricing per million tokens
• Includes established benchmarks (GPQA, SWE-bench, MMLU) plus community-driven arena rankings for each category
• Provides practical comparison metrics: context windows, input/output costs, open vs proprietary licensing
• Multiple visualization modes (table, charts, scatter plots) for analyzing performance vs cost tradeoffs
In Detail
LLM Stats positions itself as "The AI Benchmarking Hub"—a centralized platform for comparing AI model performance across all major modalities. Unlike single-focus leaderboards, it covers LLMs, image generation, video generation, text-to-speech, speech-to-text, and embedding models with standardized metrics and real benchmark data.
The platform tracks 220+ models with concrete performance indicators: arena rankings from community evaluation, scores on established benchmarks (GPQA, SWE-bench, MMLU, HumanEval), context window sizes, and detailed pricing (input/output costs per million tokens). Current rankings show Gemini 3 Pro leading the coding arena with 1,548 points and 91.9% on GPQA, Claude Opus 4.5 dominating chat with 1,319 points, and GPT-5.2 ranking third with strong balanced performance. The data includes both proprietary models (OpenAI, Anthropic, Google) and open-source alternatives (DeepSeek, GLM, Qwen) with clear licensing indicators.
The practical value lies in transparent cost-performance comparisons. Developers can see that Gemini 3 Pro offers 1M context at $2/$12 per million tokens while Claude Opus 4.5 provides 200K context at $5/$25, enabling informed decisions based on actual capabilities vs budget. The platform also features multiple visualization modes (tables, bar charts, scatter plots) and community-driven arenas where users vote on model outputs, creating crowdsourced validation alongside formal benchmarks.