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 model0%
Invoked-refined▲2 improved▼0 regressed●3 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
Prove the lift on your own data.
Run any two models over your tasks, judged automatically, and see the improvement — in seconds.
Try InvokedGenerated with Invoked · Browse all benchmarks