New Finance Agent Benchmark Released

Released date

Model

Last Updated 4/5/2025

together/meta-llama/Llama-4-Scout-17B-16E-Instruct

Llama 4 Scout 17B 16E Instruct FP8

Released Date: 4/5/2025

Avg. Accuracy:

58.3%

Latency:

7.68s

Performance by Benchmark

Benchmarks

Accuracy

Rankings

5.5%

( 18 / 22 )

5.5%

18 / 22

53.9%

( 21 / 35 )

53.9%

21 / 35

74.4%

( 37 / 55 )

74.4%

37 / 55

61.8%

( 50 / 62 )

61.8%

50 / 62

59.0%

( 37 / 42 )

59.0%

37 / 42

71.7%

( 14 / 23 )

71.7%

14 / 23

79.2%

( 19 / 38 )

79.2%

19 / 38

19.0%

( 19 / 34 )

19.0%

19 / 34

87.8%

( 23 / 36 )

87.8%

23 / 36

71.8%

( 37 / 60 )

71.8%

37 / 60

50.9%

( 38 / 40 )

50.9%

38 / 40

44.4%

( 26 / 35 )

44.4%

26 / 35

69.6%

( 24 / 35 )

69.6%

24 / 35

66.5%

( 14 / 22 )

66.5%

14 / 22

Academic Benchmarks

Proprietary Benchmarks (contact us to get access)

Cost Analysis

Input Cost

$0.18 / M Tokens

Output Cost

$0.59 / M Tokens

Input Cost (per char)

$0.05 / M chars

Output Cost (per char)

$0.13 / M chars

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