How is the LLM cost calculated?

Monthly cost = (input price per 1M tokens × your input millions) + (output price per 1M tokens × your output millions), using provider list prices refreshed daily. Cached-input discounts, batch rates, and long-context surcharges are not applied, so it is a conservative list-price estimate.

How do I find a cheaper model without losing quality?

Pick your model, volume, and use case. For coding — the axis we benchmark — the calculator lists models with an equal-or-better coding-benchmark score that cost less, ranked by score. For other use cases (reasoning, vision, tool use, long context) it lists cheaper models that are capable of that task, ranked by saving. Switching to a cheaper host of the same open-weight model is always a zero-quality-risk saving.

Are these real, current prices?

Yes — prices come from the StackSpend LLM Pricing Index, synced daily from public sources across OpenAI, Anthropic, Google, xAI, DeepSeek, Mistral, and inference hosts like Groq, Together AI, Fireworks, and DeepInfra.

Where do the benchmark scores come from?

Coding comes from the Aider polyglot leaderboard and Epoch AI’s SWE-bench Verified; reasoning from GPQA Diamond; math from MATH Level 5 and Mock AIME — the Epoch AI Benchmarking Hub (epoch.ai), used under CC BY. Vision, tool-use, and long-context are capability filters (not yet quality-scored).

Free tool

LLM API cost calculator

Estimate your monthly spend for any model and token volume — then see equal-or-better models that cost less. Prices refresh daily across every major provider and host.

What are you using it for?

Model

Input tokens / month (millions)

Output tokens / month (millions)

Enter volumes in millions of tokens (e.g. 10 = 10,000,000). Uses provider list prices per 1M tokens; cached-input discounts and tiered rates aren’t applied.

Estimated monthly cost

$110

gpt-5.5 · OpenAI · 80.6% coding

Equal-or-better coding, lower cost

claude-opus-4-7
Anthropic · 83.5% coding
$100/mo
save $10.00 (9%)
google/gemini-2.5-pro
DeepInfra · 83.1% coding
$32.50/mo
save $77.50 (70%)

Track this automatically

Prices updated 5 August 2026. See the full LLM API Pricing Index. Benchmarks: coding via Aider polyglot & SWE-bench Verified; reasoning & math via Epoch AI.

How the calculator works

How is the LLM cost calculated?: Monthly cost = (input price per 1M tokens × your input millions) + (output price per 1M tokens × your output millions), using provider list prices refreshed daily. Cached-input discounts, batch rates, and long-context surcharges are not applied, so it is a conservative list-price estimate.
How do I find a cheaper model without losing quality?: Pick your model, volume, and use case. For coding — the axis we benchmark — the calculator lists models with an equal-or-better coding-benchmark score that cost less, ranked by score. For other use cases (reasoning, vision, tool use, long context) it lists cheaper models that are capable of that task, ranked by saving. Switching to a cheaper host of the same open-weight model is always a zero-quality-risk saving.
Are these real, current prices?: Yes — prices come from the StackSpend LLM Pricing Index, synced daily from public sources across OpenAI, Anthropic, Google, xAI, DeepSeek, Mistral, and inference hosts like Groq, Together AI, Fireworks, and DeepInfra.
Where do the benchmark scores come from?: Coding comes from the Aider polyglot leaderboard and Epoch AI’s SWE-bench Verified; reasoning from GPQA Diamond; math from MATH Level 5 and Mock AIME — the Epoch AI Benchmarking Hub (epoch.ai), used under CC BY. Vision, tool-use, and long-context are capability filters (not yet quality-scored).

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