Prove the lift · AI model performance evaluation

claude-opus-4-6 vs nemotron-ultra-253b

+2-point lift for claude-opus-4-6 on financial-doc-extract

Test summary

This benchmark evaluates claude-opus-4-6 against nemotron-ultra-253b on the financial-doc-extract v2 dataset (5 rows), scored by an LLM-as-judge (claude-haiku-4-5). claude-opus-4-6 reached a 68% pass rate versus 66% for nemotron-ultra-253b — a +2-point lift.

Base model
nemotron-ultra-253b
via nvidia · 66% pass rate
Refined model
claude-opus-4-6
via anthropic · 68% pass rate · 0.8s p95
Base pass rate
66%
Refined pass rate
68%
Refined p95
0.8s
Est. tokens saved
2.3K
+0pts
refined beats base on 5 rows
0%
Base model
0%
Invoked-refined
1 improved1 regressed3 unchanged

Per-row results

1Extract net revenue and YoY change from an earnings PDF0%0%0
2Identify a going-concern note in the footnotes100%0%-100
3Extract total debt from a balance sheet0%100%+100
4Determine the reporting period from a 10-Q header100%100%0
5Pull the diluted EPS from an income statement100%100%0
Prove the lift on your own data.

Run any two models over your tasks, judged automatically, and see the improvement — in seconds.

Try Invoked
Generated with Invoked · Browse all benchmarks