🧾 The Complete LLM Pricing Guide
Every major provider, every model, live token costs — pulled directly from OpenRouter.
You pay for what you use. Every LLM API charges per token — roughly 750 words per 1,000 tokens. Prices range from fractions of a cent per million tokens to hundreds of dollars. This page shows live rates pulled from OpenRouter, updated every time you load the page. Bookmark this page — it stays up to date automatically.
📑 Table of Contents
📊 All Providers at a Glance
Below is a master table of every LLM currently available via OpenRouter and their current per‑million‑token pricing. Input and output costs are shown separately. All figures in USD.
| Provider | Model | Input $/1M | Output $/1M | Notes |
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📈 Head‑to‑Head Comparison
Which model gives you the most bang for your buck? The chart below ranks providers by blended cost (assuming a 3:1 input‑to‑output ratio, typical for chat applications).
For high‑volume, low‑cost workloads: Groq’s open‑weight models and DeepSeek are often the cheapest. For reasoning and agentic tasks: OpenAI’s o1/o3 and Claude Sonnet/Opus deliver top‑tier quality at a premium.
🔧 How to Use This Data
Estimate your token volume. A typical chat interaction uses ~1,500 input tokens and ~400 output tokens.
Pick your provider. Use the master table to compare input/output rates. Remember that output tokens cost 3× to 8× more than input on most models.
