The source behind the leaderboard: model IDs, pricing fields, context length, supported parameters, and update feeds.
The leaderboard needs primary model-router metadata, and this is the source that keeps prices, context windows, and model fields grounded.
OpenRouter data turns tokenmaxxing into a comparison problem: which model, price, context window, and route make sense for a given workload?
Use it for pricing and model catalog claims, while keeping public router usage clearly labeled as router-specific rather than global model volume.
BerriAI/litellm
An OpenAI-compatible gateway and SDK for calling many model providers with budgets, logging, load balancing, guardrails, and cost tracking.
langfuse/langfuse
Open-source LLM engineering platform for observability, traces, metrics, evals, prompt management, datasets, and playground workflows.
openai/tiktoken
A fast BPE tokenizer for OpenAI models, useful for counting and estimating token usage before requests go out.
DeepSeek V4 Flash led OpenRouter's July 27 to Aug. 2 usage ranking with 7.22 trillion tokens. Chinese models held all four leading slots, and V4 Flash 0731 plus V4 Pro landed inside the top six.
36Kr's OpenRouter coverage is valuable as a business-model read on how high-volume model routing can turn token flow into platform leverage.
The OpenRouter funding item is a clean router-market signal because it ties capital raised to reported weekly token volume and model access demand.