Claude Opus 5 pricing for email summarization

Quick start

Call Claude Opus 5 with the Anthropic Python SDK:

from anthropic import Anthropic

client = Anthropic()
response = client.messages.create(
    model="claude-opus-5",
    max_tokens=500,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0275 per call at standard rates
# Input:  $5.00/MTok
# Output: $25.00/MTok

How Claude Opus 5 compares on cost

Per-call cost for all models scoring 50+ on email summarization benchmarks. Hover for details.

Cheapest viable option: GPT 5.6 Luna at $0.001200/call (96% less, 84/100 quality).

What drives email summarization cost

Individually cheap, collectively expensive. A single thread is small, but summarization runs across an inbox at volume, so per-call price multiplied by message count is the number that matters, not the cost of any one summary. This is the use case where a fast-tier model and batch processing usually beat a smarter model outright.

For Claude Opus 5 specifically, that means output tokens cost 5.0x more than input, at $25.00 vs $5.00 per MTok. At this use case’s 3,000/500 token split, output accounts for 45% of the $0.0275 per-call cost.

Claude Opus 5 quality benchmarks for email summarization

Benchmark data for email summarization is pending for Claude Opus 5. Test against your own evaluation suite before moving to production.

Performance across all task types

Claude Opus 5 scores by task type. Email Summarization highlighted.

Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 weeks old, so treat the scores as directional and validate against your own evals.

About Claude Opus 5

Other models from Claude

You can compare Claude Opus 5 head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.

Frequently asked questions