Prove the lift · AI model performance evaluation
claude-opus-4-6 vs claude-opus-4-8
+9-point lift for claude-opus-4-6 on financial-doc-extract
Test summary
This benchmark evaluates claude-opus-4-6 against claude-opus-4-8 on the financial-doc-extract v1 dataset (5 rows), scored by an LLM-as-judge (claude-haiku-4-5). claude-opus-4-6 reached a 43% pass rate versus 34% for claude-opus-4-8 — a +9-point lift.
- Base model
- claude-opus-4-8
- via anthropic · 34% pass rate
- Refined model
- claude-opus-4-6
- via anthropic · 43% pass rate · 2.6s p95
Base pass rate
34%
Refined pass rate
43%
Refined p95
2.6s
Est. tokens saved
8.7K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲3 improved▼1 regressed●1 unchanged
Per-row results
1Extract total debt from a balance sheet0% → 100%+100
2Determine the reporting period from a 10-Q header0% → 100%+100
3Pull the diluted EPS from an income statement100% → 100%0
4Extract net revenue and YoY change from an earnings PDF0% → 100%+100
5Identify a going-concern note in the footnotes100% → 0%-100
Prove the lift on your own data.
Run any two models over your tasks, judged automatically, and see the improvement — in seconds.
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