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%

( 31 / 45 )

53.9%

31 / 45

59.0%

( 57 / 62 )

59.0%

57 / 62

71.7%

( 17 / 35 )

71.7%

17 / 35

79.2%

( 34 / 54 )

79.2%

34 / 54

19.0%

( 36 / 52 )

19.0%

36 / 52

88.0%

( 39 / 55 )

88.0%

39 / 55

71.8%

( 51 / 77 )

71.8%

51 / 77

50.9%

( 56 / 58 )

50.9%

56 / 58

44.4%

( 44 / 54 )

44.4%

44 / 54

69.6%

( 38 / 52 )

69.6%

38 / 52

58.8%

( 26 / 32 )

58.8%

26 / 32

38.5%

( 43 / 54 )

38.5%

43 / 54

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

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