Prove the lift · AI model performance evaluation

llama-3.1-405b vs grok-4

+16-point lift for llama-3.1-405b on financial-doc-extract

Test summary

This benchmark evaluates llama-3.1-405b against grok-4 on the financial-doc-extract v1 dataset (5 rows), scored by an LLM-as-judge (llama-3.1-8b). llama-3.1-405b reached a 69% pass rate versus 53% for grok-4 — a +16-point lift.

Base model
grok-4
via xai · 53% pass rate
Refined model
llama-3.1-405b
via meta · 69% pass rate · 0.9s p95
Base pass rate
53%
Refined pass rate
69%
Refined p95
0.9s
Est. tokens saved
10.7K
+0pts
refined beats base on 5 rows
0%
Base model
0%
Invoked-refined
5 improved0 regressed0 unchanged

Per-row results

1Extract total debt from a balance sheet0%100%+100
2Extract net revenue and YoY change from an earnings PDF0%100%+100
3Determine the reporting period from a 10-Q header0%100%+100
4Identify a going-concern note in the footnotes0%100%+100
5Pull the diluted EPS from an income statement0%100%+100
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