Pricing Calculator
Compare costs across the latest LLM providers and models — Claude, GPT-5, Gemini 3, Grok, Llama 4 — to optimize your budget. Prices per 1M tokens, updated June 2026.
Usage Parameters
| Rank | Model | Provider | Input Price | Output Price | Total Cost |
|---|---|---|---|---|---|
#1 | GPT-5 nanoBest Value | OpenAI | $0.05/1M | $0.4/1M | $0.2500 |
#2 | Llama 4 Scout | Meta | $0.11/1M | $0.34/1M | $0.2800 |
#3 | Gemini 3 Flash-Lite | $0.1/1M | $0.4/1M | $0.3000 | |
#4 | Grok 4 Fast | xAI | $0.2/1M | $0.5/1M | $0.4500 |
#5 | DeepSeek V3.2 | DeepSeek | $0.28/1M | $0.42/1M | $0.4900 |
#6 | Llama 4 Maverick | Meta | $0.35/1M | $1.15/1M | $0.9250 |
#7 | GPT-5 mini | OpenAI | $0.25/1M | $2/1M | $1.2500 |
#8 | Gemini 3 Flash | $0.5/1M | $3/1M | $2.0000 | |
#9 | Claude Haiku 4.5 | Anthropic | $1/1M | $5/1M | $3.5000 |
#10 | Mistral Large 3 | Mistral | $2/1M | $6/1M | $5.0000 |
#11 | GPT-5.1 | OpenAI | $1.25/1M | $10/1M | $6.2500 |
#12 | Gemini 3 Pro | $2/1M | $12/1M | $8.0000 | |
#13 | Claude Sonnet 4.6 | Anthropic | $3/1M | $15/1M | $10.5000 |
#14 | Grok 4 | xAI | $3/1M | $15/1M | $10.5000 |
#15 | Claude Opus 4.8 | Anthropic | $5/1M | $25/1M | $17.5000 |
#16 | GPT-5.5 | OpenAI | $5/1M | $30/1M | $20.0000 |
How LLM API pricing works
Almost every LLM API uses the same billing model: you pay per million tokens, with separate rates for input (the prompt you send) and output (the text the model generates). The gap between providers is large — a frontier model can cost twenty to a hundred times more per token than a small, fast model — so the right choice depends heavily on your traffic and how much of it genuinely needs top-tier reasoning.
This calculator multiplies your input and output token counts by each model's published rate and ranks the results, so you can see the cheapest option for a given workload at a glance. Because most production workloads are dominated by either input (long prompts, RAG context) or output (long generations), the cost ordering can flip depending on your ratio — which is exactly what the calculator is built to reveal.
How to use this tool
- Enter the average input tokens, output tokens, and number of requests for your workload.
- Review the ranked table — the cheapest model for your specific input/output mix is highlighted as best value.
- Compare a frontier model against a smaller one to see how much you'd save by routing simpler tasks to a cheaper tier.
Frequently asked questions
Why is one model cheapest for my workload but not another?+
Because input and output are priced differently. A model with cheap input but pricey output wins on long-prompt, short-answer tasks and loses on short-prompt, long-answer tasks. Always calculate with your real token ratio.
Can I cut costs without changing models?+
Yes. Prompt caching, the Batch API (typically 50% off), shorter system prompts, and trimming output length all reduce spend. Routing easy requests to a smaller model is usually the biggest lever.
Are these prices current?+
We review them regularly, but model pricing changes often. Treat the figures as estimates and confirm the live rate on the provider's pricing page before committing a budget.