Claude Opus 4.7 Cost Calculator
Estimate API costs for Claude Opus 4.7 — Anthropic's flagship model. Premium pricing at $15 input / $75 output per million tokens, 200K context. Use it when reasoning depth justifies the cost.
Claude Opus 4.7 pricing
Source: Anthropic pricing page (2026). Output is 5× input — typical for Anthropic.
| Model | Input / 1M | Output / 1M | Context |
|---|---|---|---|
| Claude Opus 4.7 Anthropic | $15.00 | $75.00 | 200K |
What you'll use this for
LLM costs scale fast. A quick estimate before you ship saves real money in production.
Budget planning
Project monthly and annual API spend before you ship. Catch surprises before billing does.
Comparing models
Pick the right model for your use case. Cheapest that passes your evals usually wins.
Cost optimization
Estimate caching impact, identify the cheapest viable model, find the breakeven for a smaller tier.
Pricing transparency
Show stakeholders concrete numbers for "what does AI cost us?" — no vendor pitch deck required.
How to estimate LLM cost
Paste a representative prompt
Use something real from your app, not a toy example. Token count scales with input length.
Set expected output tokens
How long is the model's reply? 500 tokens is a typical chat response; classification might be 5; agents can run thousands.
Set calls per day
Conservative is fine. Multiply by users × actions/user/day. The yearly figure is usually the eye-opener.
Read totals
Per call, per day, per month, per year. Toggle caching to see the discount impact.
Frequently asked questions
This calculator uses a rough heuristic of ~4 characters per token. Real tokenizers vary: code is denser, languages other than English are sparser, and each provider has its own tokenizer. Expect ±20% accuracy. For exact counts use the model-specific token counters.
From each provider's public pricing page as of 2026. Rates are subject to change; always verify on the provider site before relying on these numbers for procurement decisions.
Yes. No signup, no limits, no ads, no data leaves your browser.
Toggle "Input is cached" for an approximate 90% input-side discount. The exact discount varies by provider (Anthropic: 90%; OpenAI/Google: 50-75%). This calculator uses the Anthropic figure as a useful upper bound.
A few reasons. (1) Token counts on the provider may differ slightly from our ~4-char estimate. (2) System prompts, tool definitions, and retrieved context all count toward input. (3) Provider rates may have changed since this tool was last updated. (4) Some providers add surcharges for premium tiers, regional endpoints, or long-context overflow. Use this for ballpark estimates, not for final accounting.
About Claude Opus 4.7
Opus 4.7 is Anthropic's top-tier Claude model — the one to reach for when reasoning, code quality, or long-horizon agentic loops matter more than cost. At $15 / $75 per 1M tokens it's the most expensive Claude tier, but for the right workload it pays for itself in fewer retries and better outputs.
When Opus is worth it
Hard reasoning, complex code generation, multi-step research, agentic loops where Sonnet stalls, anything requiring deep instruction following. If Sonnet is failing your evals, Opus probably won't.
When to avoid
High-volume / low-stakes classification, simple summarization, chat interfaces where users won't notice the quality lift. The 5× price premium over Sonnet rarely justifies itself for routine work.
Caching matters more here
Because Opus is expensive, the 90% caching discount on input is especially valuable. Long system prompts or RAG context that fit a stable prefix should always be cached for Opus workloads.