Prove the lift · AI model performance evaluation

gemini-1.5-flash vs mixtral-8x7b

+21-point lift for gemini-1.5-flash on financial-doc-extract

Test summary

This benchmark evaluates gemini-1.5-flash against mixtral-8x7b on the financial-doc-extract v3 dataset (5 rows), scored by an LLM-as-judge (gpt-4o-mini). gemini-1.5-flash reached a 77% pass rate versus 56% for mixtral-8x7b — a +21-point lift.

Base model
mixtral-8x7b
via mistral · 56% pass rate
Refined model
gemini-1.5-flash
via google · 77% pass rate · 1.1s p95
Base pass rate
56%
Refined pass rate
77%
Refined p95
1.1s
Est. tokens saved
4.7K
+0pts
refined beats base on 5 rows
0%
Base model
0%
Invoked-refined
2 improved0 regressed3 unchanged

Per-row results

1Identify a going-concern note in the footnotes100%100%0
2Determine the reporting period from a 10-Q header0%100%+100
3Pull the diluted EPS from an income statement100%100%0
4Extract total debt from a balance sheet0%100%+100
5Extract net revenue and YoY change from an earnings PDF100%100%0
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