OpenRouter Cost Calculator

An OpenRouter cost calculator estimates API expenses when accessing AI models through OpenRouter — a unified AI gateway that routes requests to 200+ models from providers like OpenAI, Anthropic, Google, Meta, DeepSeek, Mistral, and Qwen via a single API endpoint. Like all modern LLMs, OpenRouter bills per token (roughly 4 characters of text). You pay for input tokens (the prompt you send) and output tokens (the response you receive). Our OpenRouter cost calculator online processes these variables locally in your browser, giving you accurate cross-provider comparisons and monthly cost forecasts without sharing any data.

1. Filter by Provider & Select a Model: Use the provider filter buttons to narrow the model list to a specific AI company (OpenAI, Anthropic, Google, DeepSeek, Meta, Mistral, or Qwen), then select the model variant. The calculator loads the current OpenRouter pricing for that model automatically.
2. Configure Token Counts & Request Volume: Enter or slide your input and output token estimates per request. Optionally expand the multimodal section to add images or audio and calculate their token equivalents. Set the number of requests per day, month, or year.
3. Apply Prompt Caching: Enable the caching toggle if your requests include a repetitive system prompt or large context block. Enter the number of tokens that can be served from cache to see the cost reduction at cached input rates.
4. Review Forecast & Comparison Table: The calculator shows your projected period cost, cost per single call, and a cross-provider comparison table sorted by cheapest model first — with percentage savings relative to the most expensive model in the set.

• OpenRouter Markup (~10%):OpenRouter charges approximately 10% above the provider's standard list price to cover routing infrastructure, load balancing, and fallback handling. For example, GPT-4o at $2.50/1M input direct from OpenAI may appear as $2.75/1M on OpenRouter.
• Routing Modes:OpenRouter offers Balanced (optimizes price and speed), Nitro (fastest provider), and Exacto (fixed single provider) modes. Nitro and Exacto may have slightly different pricing than Balanced — always verify on the model's OpenRouter page.
• Prompt Caching: For models that support caching (Claude, GPT, Gemini), storing repetitive context can reduce input costs by 75–90%. The cached token rate is charged instead of the standard input rate for those tokens on subsequent requests.
• Free Tier Models: OpenRouter offers rate-limited free access to some models for testing. These are not included in this calculator, which covers Pay-As-You-Go pricing only.

The single most effective way to cut OpenRouter costs is choosing the right model tier. For most text-based tasks — summarization, extraction, classification, and Q&A — models like DeepSeek V4 Flash, Llama 4 Scout, or Mistral Small deliver strong results at a fraction of the cost of frontier models. Reserve GPT-5.5 or Claude Opus 4.8 for genuinely complex reasoning, coding, or multimodal tasks where quality is critical. Additionally, enable prompt caching whenever your requests include a long, repeated system prompt or document context — this alone can reduce costs by 60–80% on high-volume workloads.