Prove the lift · AI model performance evaluation
mixtral-8x7b vs gemini-1.5-flash
+11-point lift for mixtral-8x7b on financial-doc-extract
Test summary
This benchmark evaluates mixtral-8x7b against gemini-1.5-flash on the financial-doc-extract v3 dataset (5 rows), scored by an LLM-as-judge (claude-haiku-4-5). mixtral-8x7b reached a 58% pass rate versus 47% for gemini-1.5-flash — a +11-point lift.
- Base model
- gemini-1.5-flash
- via google · 47% pass rate
- Refined model
- mixtral-8x7b
- via mistral · 58% pass rate · 3.0s p95
Base pass rate
47%
Refined pass rate
58%
Refined p95
3.0s
Est. tokens saved
7.6K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲1 improved▼1 regressed●3 unchanged
Per-row results
1Extract net revenue and YoY change from an earnings PDF100% → 0%-100
2Determine the reporting period from a 10-Q header100% → 100%0
3Identify a going-concern note in the footnotes0% → 100%+100
4Extract total debt from a balance sheet0% → 0%0
5Pull the diluted EPS from an income statement100% → 100%0
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