Prove the lift · AI model performance evaluation

claude-opus-4-6 vs llama-3.1-70b

+21-point lift for claude-opus-4-6 on financial-doc-extract

Test summary

This benchmark evaluates claude-opus-4-6 against llama-3.1-70b on the financial-doc-extract v1 dataset (5 rows), scored by an LLM-as-judge (llama-3.1-8b). claude-opus-4-6 reached a 49% pass rate versus 28% for llama-3.1-70b — a +21-point lift.

Base model
llama-3.1-70b
via ollama · 28% pass rate
Refined model
claude-opus-4-6
via anthropic · 49% pass rate · 2.8s p95
Base pass rate
28%
Refined pass rate
49%
Refined p95
2.8s
Est. tokens saved
7.1K
+0pts
refined beats base on 5 rows
0%
Base model
0%
Invoked-refined
▲2 improved▼1 regressed●2 unchanged

Per-row results

1Identify a going-concern note in the footnotes0% → 100%+100
2Extract total debt from a balance sheet0% → 0%0
3Determine the reporting period from a 10-Q header0% → 100%+100
4Pull the diluted EPS from an income statement100% → 0%-100
5Extract net revenue and YoY change from an earnings PDF100% → 100%0
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