LLM Leaderboard 2025 - Verified AI Rankings
Analyze and compare AI models across benchmarks, pricing, and capabilities. Discover the best models and API providers in each category. Access leaderboards about code, reasoning, and general knowledge. Learn about the maximum input context length for each model.
While tokenization varies between models, on average, 1 token is approximately equal to 3.5 characters in English. Please note that each model uses its own tokenizer, so actual token counts may vary significantly.
As a rough guide, 1 million tokens is approximately equivalent to:
- 30 hours of a podcast (~150 words per minute)
- 1,000 pages of a book (~500 words per page)
- 60,000 lines1 of code (~60 characters per line)
[1] Based on average characters per line. See Wikipedia.
LLM Model Comparisons
Compare LLM models across benchmark scores, prices, and model sizes. Evaluate the price and performance across providers for Llama 3.3 70B. It is important to note that provider performance can vary significantly. Some providers run full-precision models on specialized hardware accelerators (like Groq's LPU or Cerebras' CS-3), while others may use quantization (4-bit, 8-bit) to simulate faster speeds on commodity hardware.
Check provider documentation for specific hardware and quantization details, as this can impact both speed and model quality. Observe how different processing speeds affect real-time token generation.
Try adjusting the speeds using the number inputs above each panel. Values reset every 5 seconds to demonstrate different speeds.
LLM Stats © 2025 • Follow us @LlmStats
If this website has been helpful, please consider citing it in your work.
