Anthropic · Claude 3 family

Claude 3 API cost calculator

Anthropic’s Claude 3 family spans fast Haiku models, balanced Sonnet tiers, and premium Opus for the hardest tasks. This page helps engineers translate those names into dollars using the same per-thousand-token mechanics as the rest of the site.

You will see how Sonnet-class pricing behaves on realistic prompt and completion mixes, when Haiku is the right economic choice, and how to discuss context-heavy prompts with finance.

Use the calculator block to mirror your production token histograms—especially if you are evaluating a migration from GPT models.

Claude 3 model lineup in budget terms

Haiku excels when you need high throughput for simpler tasks: triage, tagging, or rewriting short snippets. Sonnet is the default for customer-facing quality, and Opus is the “break glass” tier when errors are expensive.

Your FinOps story should include blended routing: most traffic on Haiku or Sonnet with selective escalation instead of running everything on the largest card.

Input vs output pricing for Claude APIs

Like other frontier providers, Anthropic typically charges more for output tokens than input tokens. Long assistant answers or verbose JSON therefore move invoices faster than adding a few hundred tokens to a system prompt.

Audit completion length by feature flag so product experiments do not silently double output tokens.

Context windows and long system prompts

Claude applications often carry detailed policy or style guides. That is good for quality but costly if duplicated on every request. Centralize stable instructions and reference them consistently to maximize reusable prefix caching where your architecture allows.

Claude token usage examples

Each scenario is independent—pick the one closest to your service.

Scenario Prompt tokens Output tokens Model (est.) Cost / request
Policy Q&A with citations 4200 520 Claude 3.5 Sonnet $0.0204
Ticket summarization 900 240 Claude 3.5 Haiku $0.0017
Research memo draft 5500 1800 Claude 3.5 Sonnet $0.0435

Figures use rates from config/models.php; confirm against your provider before billing decisions.

Monthly Claude API cost examples

  • Customer support copilot

    1,800 conversations per weekday with rich context.

    Per request
    $0.0153
    Monthly (1800 req/day × 22 days)
    $605.88
  • Internal knowledge assistant

    650 heavier prompts per day.

    Per request
    $0.0375
    Monthly (650 req/day × 22 days)
    $536.25

Developer use cases

Claude shines when you need careful prose, long-context reasoning, or nuanced compliance answers. Pair it with Haiku for pre-processing pipelines that feed Sonnet the smallest possible cleaned input.

Claude vs configured OpenAI tiers

Use identical token assumptions—otherwise comparisons mislead leadership.

Model Provider Input Output
Claude 3.5 Sonnet Anthropic $0.0030 / 1K in $0.0150 / 1K out
Claude 3.5 Haiku Anthropic $0.0008 / 1K in $0.0040 / 1K out
GPT-4o OpenAI $0.0025 / 1K in $0.0100 / 1K out
GPT-4o mini OpenAI $0.0002 / 1K in $0.0006 / 1K out

FAQ: Claude 3 token pricing

Short answers mirror the structured data on this page for search engines and readers.

How do I choose between Claude Sonnet and Haiku?
Prototype both on logged tasks. If Haiku meets accuracy SLOs, deploy it widely and reserve Sonnet for escalations.
Does Claude charge for cached prompts?
Caching rules depend on Anthropic’s current offerings and your integration. Model any discount explicitly rather than assuming it into baseline estimates.
What is the biggest hidden cost in Claude migrations?
Recreating oversized prompts from GPT-era templates without revisiting verbosity. Re-measure tokens after migration.
Can I compare Claude and GPT in one view?
Yes—enable both in the comparison table with the same prompt and completion counts.

Model Claude 3 spend with live comparisons

Swap Haiku, Sonnet, and Opus without redoing spreadsheet formulas—the tool recomputes per-request and monthly totals instantly.

Prefilled for this page’s scenario. Pricing loads from config/models.php and /api/pricing.

Calculator

Cost = (prompt ÷ 1000 × Pin) + (completion ÷ 1000 × Pout), then × requests.

Usage presets

Multi-model comparison

Toggle models to compare the same workload. The cheapest option is highlighted.

Monthly cost simulator

Project from average daily requests (uses tokens above).

Uses primary model rates for projections.

Token estimator

Rough heuristic: ~4 characters ≈ 1 token for Latin text (indicative only).

Estimated tokens: 0 · Cost @ primary:

API budget planner

Set a monthly cap to see how many identical requests fit (primary model).

Max requests (approx):

Prompt optimization analyzer

Collapse whitespace and tighten wording to preview savings at the primary model.

Suggested shorter form:


                    

Token delta: 0 · Est. savings / 1k calls:

Fine-tuning cost sketch

Order-of-magnitude helper: training tokens × epochs × rate + storage.

Est. training + 1 mo storage:

Team usage calculator

Multiply per-person daily volume by team size (primary model).

Team monthly (22d):

Cost per feature

Price a single product surface (e.g., one chat turn or one generated article).

Uses prompt & completion tokens from the calculator for one invocation.

Cost per use: · Monthly @ that cadence:

Share & export

Serialize inputs in the URL hash or copy a text summary.

Calculation history

Stored in your browser only (LocalStorage).