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:

58.7%

Latency:

8.68s

Performance by Benchmark

Benchmarks

Accuracy

Rankings

53.9%

( 30 / 44 )

53.9%

30 / 44

59.0%

( 55 / 60 )

59.0%

55 / 60

71.7%

( 17 / 35 )

71.7%

17 / 35

79.2%

( 34 / 54 )

79.2%

34 / 54

19.0%

( 34 / 50 )

19.0%

34 / 50

88.0%

( 37 / 53 )

88.0%

37 / 53

71.8%

( 49 / 75 )

71.8%

49 / 75

50.9%

( 54 / 56 )

50.9%

54 / 56

44.4%

( 42 / 52 )

44.4%

42 / 52

69.6%

( 36 / 50 )

69.6%

36 / 50

38.5%

( 40 / 51 )

38.5%

40 / 51

58.8%

( 26 / 32 )

58.8%

26 / 32

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)

$0.16 / M chars

Join our mailing list to receive benchmark updates on

Stay up to date as new benchmarks and models are released.