LLM Cost Calculator

LLM API Pricing Comparison

List prices per million tokens, pulled from official pricing pages. Output tokens cost 4–8× more than input on most models — that, not the headline rate, is what drives your bill.

Model Input $/1M Cache hit $/1M Output $/1M Output÷Input
OpenAI · GPT-6 Astra $10.000 $1.0000 $50.00 5.0×
OpenAI · GPT-6.1 Sol $2.000 $0.1000 $10.00 5.0×
OpenAI · GPT-6.1 Terra $1.000 $0.0500 $5.00 5.0×
OpenAI · GPT-6 Luna $0.100 $0.0100 $0.50 5.0×
Anthropic Claude · Claude Haiku 5.5 $0.100 — $0.50 5.0×
Anthropic Claude · Claude Sonnet 5 $2.000 $0.2000 $10.00 5.0×
Anthropic Claude · Claude Opus 5 $5.000 $0.5000 $25.00 5.0×
Google Gemini · Gemini 3.8 Flash $0.750 $0.0750 $3.75 5.0×
Google Gemini · Gemini 3.1 Pro $2.000 $0.2000 $12.00 6.0×
Google Gemini · Gemini 3.5 Flash-Lite $0.300 $0.0300 $2.50 8.3×
DeepSeek · DeepSeek V4.1 Flash $0.140 $0.0028 $0.28 2.0×
DeepSeek · DeepSeek V4 Pro $0.435 $0.0036 $0.87 2.0×

Verified 2026-11-07. Cache-hit prices apply to repeated prefixes (system prompts, tool definitions). DeepSeek prices shown are off-peak; peak hours double.

What actually drives your bill

Three levers move cost far more than choosing between adjacent models: output length (output is priced 4–8× input), cache hit rate (prompt caching cuts input cost up to 98% on some providers), and request volume. Before optimizing your model choice, measure these three from your usage dashboard.