💰 AI Tool
API Cost Estimator
Mix input and output tokens to compare spending across major chat APIs—so you can pick a model with confidence.
FAQ
Frequently asked questions
Detailed answers below are in English for technical accuracy.
Which LLM API is the cheapest in 2026?▼
For budget workloads, GPT-4o mini ($0.15/1M input), Gemini 3.1 Flash-Lite ($0.25/1M input), and Gemini 2.5 Flash ($0.30/1M input) are strong options. gpt-5.4-nano ($0.20/1M input) is competitive for tiny prompts. Self-hosted open weights (e.g. LLaMA 4) avoid per-token API fees but still need GPU or cloud spend.
How much does a frontier model cost per month?▼
Monthly spend depends on model and volume. With gpt-5.4 at $2.50/1M input and $15/1M output, 1,000 requests/month of 1,000 input + 500 output tokens is about $10/month; 100,000 such requests is about $1,000/month. Use our API cost calculator for your exact mix.
How do I reduce LLM API costs?▼
Key strategies to cut LLM API costs: (1) Use smaller models like gpt-5.4-nano, GPT-4o mini, or Gemini 2.5 Flash where quality allows. (2) Cache repeated prompts. (3) Shorten system prompts. (4) Use batch APIs for roughly 50% off on non-urgent tasks. (5) Self-host open-source models for very high volume.
Is Claude cheaper than GPT-4?▼
Claude Sonnet 4.6 ($3/1M input, $15/1M output) is in the same tier as GPT-4o ($2.50/1M input, $10/1M output), while Claude Opus 4.6 ($5/1M input, $25/1M output) costs more. GPT-4o mini ($0.15/1M input) beats Claude Haiku 3 ($0.25/1M input) on input price—compare blended input+output for your workload.
What is batch API pricing?▼
OpenAI, Anthropic, and Google offer batch processing APIs at roughly 50% off standard prices, in exchange for longer turnaround times (up to 24 hours). This is ideal for non-real-time workloads like data analysis, content generation, or document processing.