Claude Sonnet 5.5 pricing for resume parsing

Quick start

Call Claude Sonnet 5.5 with the Anthropic Python SDK:

from anthropic import Anthropic

client = Anthropic()
response = client.messages.create(
    model="claude-sonnet-5-5",
    max_tokens=800,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0130 per call at standard rates
# Input:  $2.00/MTok
# Output: $10.00/MTok

How Claude Sonnet 5.5 compares on cost

Per-call cost for all models scoring 50+ on resume parsing benchmarks. Hover for details.

Cheapest viable option: Gemini 3 Flash at $0.003650/call (72% less, 86/100 quality).

What drives resume parsing cost

Resumes are longer than invoices and less uniformly structured, so input runs higher while output stays compact. Like invoice parsing this is a bulk, latency-tolerant workload where the batch API discount applies to the entire request. The parsing instructions are identical across every candidate, which puts them squarely in the cached prefix.

For Claude Sonnet 5.5 specifically, that means output tokens cost 5.0x more than input, at $10.00 vs $2.00 per MTok. At this use case’s 2,500/800 token split, output accounts for 62% of the $0.0130 per-call cost.

Claude Sonnet 5.5 quality benchmarks for resume parsing

Benchmark data for resume parsing is pending for Claude Sonnet 5.5. Test against your own evaluation suite before moving to production.

Performance across all task types

Claude Sonnet 5.5 scores by task type. Resume Parsing highlighted.

Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 14 weeks old, so treat the scores as directional and validate against your own evals.

About Claude Sonnet 5.5

Added by the model-onboarding job on 2026-09-29. Prices confirmed by the provider pricing page and the LiteLLM cross-check. Release date from the provider model list. Not yet benchmarked, so never recommended.

Other models from Claude

You can compare Claude Sonnet 5.5 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