AI Cost Calculator

Claude API Cost Calculator

Estimate Anthropic Claude API costs by model, tokens per call, and monthly request volume. Get per-request, monthly, and annual projections instantly.

Best balance of intelligence and speed · $3.00 / 1M input · $15.00 / 1M output

Estimated monthly cost

$105.00

Per API call

$0.01

Monthly (10,000 calls)

$105.00

Annual (estimated)

$1,260.00

Input (1,000 × 10,000 calls)$30.00

Output (500 × 10,000 calls)$75.00

Output tokens cost 2.5x more than input for this model. Shortening responses with max_tokens is the fastest way to cut costs.

Switching to Claude Haiku 4 for the same workload would save approximately $77.00 per month.

Your annual spend projection is $1,260.00. Review whether all tasks require this model tier, or route simpler calls to Haiku.

Claude model pricing reference

ModelInput / 1MOutput / 1M
Claude Opus 4$15.00$75.00
Claude Sonnet 4selected$3.00$15.00
Claude Haiku 4$0.80$4.00

Prices are per million tokens. Check anthropic.com/pricing for the latest rates.

Frequently asked questions

What is the difference between Claude Opus, Sonnet, and Haiku?
Claude Opus 4 is Anthropic's flagship for demanding tasks, complex analysis, long-document reasoning, and research-grade writing. Claude Sonnet 4 is the workhorse: strong capability at a fraction of Opus pricing, suitable for most production apps. Claude Haiku 4 is the fastest and cheapest, ideal for high-volume classification, triage, and lightweight generation.
Why do output tokens cost more than input tokens?
Output generation is sequential, the model must produce each token before generating the next. Input tokens are processed in parallel. This asymmetry makes generation significantly more compute-intensive, which is why output tokens are consistently priced higher across all providers including Anthropic.
How can I estimate my Claude token usage before building?
Use the AI Token Counter or AI Prompt Cost Estimator to paste your prompt and get an immediate token count and cost comparison across all Claude models. Counts are approximate but accurate enough for pre-build cost planning.
Does prompt caching reduce Claude API costs?
Yes. Anthropic offers prompt caching for repeated content like long system prompts or shared context. Cached tokens are priced lower than regular input tokens. If your application sends the same system prompt on every call, enabling caching can meaningfully reduce costs at scale. This calculator shows base rates without caching applied.
How accurate are these cost estimates?
Estimates use Anthropic's published per-token rates. Because this tool uses a GPT-compatible tokenizer as a proxy for Claude's tokenizer, actual token counts may vary by a small percentage. For production budgeting, add a 10–15% buffer and monitor actual usage in the Anthropic console.