Claude Opus 5 pricing for sentiment analysis

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=100,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.005000 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 sentiment analysis benchmarks. Hover for details.

Cheapest viable option: GPT 5.6 Luna at $0.000220/call (96% less, 91/100 quality).

What drives sentiment analysis cost

Short text in, a label or score out: the cheapest shape an API call can take. Output pricing is irrelevant at this size. Because these run in bulk over historical data as often as in real time, the batch API discount typically applies, and the effective rate lands well below list.

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 500/100 token split, output accounts for 50% of the $0.005000 per-call cost.

Claude Opus 5 quality benchmarks for sentiment analysis

Benchmark data for sentiment analysis 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. Sentiment Analysis 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