Claude Opus 5 pricing for unit test generation

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=5000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.1400 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 unit test generation benchmarks. Hover for details.

Cheapest viable option: Claude Sonnet 5 at $0.0560/call (60% less, 93/100 quality).

What drives unit test generation cost

Test generation is the rare code task where input and output are both large: you send the function under test plus its dependencies, and get back a full suite of cases. Expect 3K in, 5K out. Because the source file rarely changes between runs, cache reads pay off faster here than in almost any other use case: the same file gets resent every time you regenerate a suite.

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 3,000/5,000 token split, output accounts for 89% of the $0.1400 per-call cost.

Claude Opus 5 quality benchmarks for unit test generation

Benchmark data for unit test generation 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. Unit Test Generation 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