Nova Micro

Unknown Developer

This text-based model is engineered for rapid response times and cost-effectiveness, without sacrificing quality. It excels at fundamental language tasks, providing a balance of speed, efficiency, and accuracy on important industry benchmarks.

Model Specifications

Technical details and capabilities of Nova Micro

Core Specifications

128.0K / 128.0K

Input / Output tokens

November 19, 2024

Release date

Capabilities & License

Multimodal Support

Not Supported

Web Hydrated

Yes

License

Proprietary

Resources

Research Paper

https://www.amazon.science/publications/the-amazon-nova-family-of-models-technical-report-and-model-card

API Reference

https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-nova.html

Code Repository

https://huggingface.co/amazon-agi

Performance Insights

Check out how Nova Micro handles various AI tasks through comprehensive benchmark results.

100

75

50

25

0

92.3

GSM8K

92.3

(92%)

90.2

ARC-C

90.2

(90%)

88.7

Translation Set1→en COMET22

88.7

(89%)

88.5

Translation en→Set1 COMET22

88.5

(89%)

87.2

IFEval

87.2

(87%)

81.1

HumanEval

81.1

(81%)

79.5

BBH

79.5

(80%)

79.3

DROP

79.3

(79%)

77.6

MMLU

77.6

(78%)

69.3

MATH

69.3

(69%)

65.2

FinQA

65.2

(65%)

56.2

BFCL

56.2

(56%)

43.1

CRAG

43.1

(43%)

42.6

Translation Set1→en spBleu

42.6

(43%)

40.2

Translation en→Set1 spBleu

40.2

(40%)

40

GPQA

40

(40%)

18.8

SQuALITY

18.8

(19%)

GSM8K

ARC-C

Translation Set1→en COMET22

Translation en→Set1 COMET22

IFEval

HumanEval

BBH

DROP

MMLU

MATH

FinQA

BFCL

CRAG

Translation Set1→en spBleu

Translation en→Set1 spBleu

GPQA

SQuALITY

Model Comparison

See how Nova Micro stacks up against other leading models across key performance metrics.

100

80

60

40

20

0

77.6

MMLU - Nova Micro

77.6

(78%)

82.3

MMLU - Qwen2 72B Instruct

82.3

(82%)

79.7

MMLU - Qwen2.5 14B Instruct

79.7

(80%)

78.9

MMLU - Phi-3.5-MoE-instruct

78.9

(79%)

85.9

MMLU - Nova Pro

85.9

(86%)

78.9

MMLU - Gemini 1.5 Flash

78.9

(79%)

40

GPQA - Nova Micro

40

(40%)

42.4

GPQA - Qwen2 72B Instruct

42.4

(42%)

45.5

GPQA - Qwen2.5 14B Instruct

45.5

(46%)

36.8

GPQA - Phi-3.5-MoE-instruct

36.8

(37%)

46.9

GPQA - Nova Pro

46.9

(47%)

51

GPQA - Gemini 1.5 Flash

51

(51%)

69.3

MATH - Nova Micro

69.3

(69%)

59.7

MATH - Qwen2 72B Instruct

59.7

(60%)

80

MATH - Qwen2.5 14B Instruct

80

(80%)

59.5

MATH - Phi-3.5-MoE-instruct

59.5

(60%)

76.6

MATH - Nova Pro

76.6

(77%)

77.9

MATH - Gemini 1.5 Flash

77.9

(78%)

92.3

GSM8K - Nova Micro

92.3

(92%)

91.1

GSM8K - Qwen2 72B Instruct

91.1

(91%)

94.8

GSM8K - Qwen2.5 14B Instruct

94.8

(95%)

88.7

GSM8K - Phi-3.5-MoE-instruct

88.7

(89%)

94.8

GSM8K - Nova Pro

94.8

(95%)

86.2

GSM8K - Gemini 1.5 Flash

86.2

(86%)

81.1

HumanEval - Nova Micro

81.1

(81%)

86

HumanEval - Qwen2 72B Instruct

86

(86%)

83.5

HumanEval - Qwen2.5 14B Instruct

83.5

(84%)

70.7

HumanEval - Phi-3.5-MoE-instruct

70.7

(71%)

89

HumanEval - Nova Pro

89

(89%)

74.3

HumanEval - Gemini 1.5 Flash

74.3

(74%)

MMLU

GPQA

MATH

GSM8K

HumanEval

Nova Micro

Qwen2 72B Instruct

Qwen2.5 14B Instruct

Phi-3.5-MoE-instruct

Nova Pro

Gemini 1.5 Flash

Detailed Benchmarks

Dive deeper into Nova Micro's performance across specific task categories. Expand each section to see detailed metrics and comparisons.

Math

GSM8K

97.1%

95.0%

94.8%

Qwen2.5 14B Instruct

94.8%

Mistral Large 2

93.0%

92.3%

Claude 3 Sonnet

92.3%

Qwen2.5 7B Instruct

91.6%

Llama 3.1 Nemotron 70B Instruct

91.4%

68.6%

Current model

Other models

Avg (91.1%)

Coding

HumanEval

Claude 3.5 Sonnet

93.7%

Qwen2.5 7B Instruct

84.8%

84.1%

Qwen2.5 14B Instruct

83.5%

82.6%

81.1%

81.1%

Llama 3.1 70B Instruct

80.5%

75.9%

Ministral 8B Instruct

34.8%

Current model

Other models

Avg (78.2%)

Reasoning

DROP

92.2%

80.9%

80.2%

79.7%

Llama 3.1 70B Instruct

79.6%

79.3%

Claude 3 Sonnet

78.9%

78.4%

75.5%

Llama 3.1 8B Instruct

59.5%

Current model

Other models

Avg (78.4%)

Knowledge

MMLU

91.8%

Qwen2.5 14B Instruct

79.7%

Claude 3 Sonnet

79.0%

Gemini 1.5 Flash

78.9%

Phi-3.5-MoE-instruct

78.9%

77.6%

76.9%

75.7%

75.2%

Llama 3.2 3B Instruct

63.4%

Current model

Other models

Avg (77.7%)

GPQA

87.7%

Llama 3.1 70B Instruct

41.7%

Claude 3.5 Haiku

41.6%

Claude 3 Sonnet

40.4%

40.2%

40.0%

Gemini 1.5 Flash 8B

38.4%

Jamba 1.5 Large

36.9%

Phi-3.5-MoE-instruct

36.8%

Qwen2 7B Instruct

25.3%

Current model

Other models

Avg (42.9%)

MATH

97.9%

Claude 3.5 Sonnet

71.1%

Mistral Small 3

70.6%

70.2%

Claude 3.5 Haiku

69.4%

69.3%

Mistral Small 3.1 24B

69.3%

Llama 3.2 90B Instruct

68.0%

61.6%

32.6%

Current model

Other models

Avg (68.0%)

Non categorized

ARC-C

94.8%

92.4%

90.2%

Llama 3.2 3B Instruct

78.6%

Qwen2.5 32B Instruct

70.4%

Qwen2.5 14B Instruct

67.3%

Current model

Other models

Avg (82.3%)

IFEval

Claude 3.7 Sonnet

93.2%

90.0%

89.7%

Llama 3.1 405B Instruct

88.6%

Llama 3.1 70B Instruct

87.5%

87.2%

86.1%

85.6%

Qwen2.5 72B Instruct

84.1%

61.3%

Current model

Other models

Avg (85.3%)

BBH

87.6%

Qwen2.5 32B Instruct

84.5%

84.3%

82.4%

Qwen2 72B Instruct

82.4%

79.5%

Qwen2.5 14B Instruct

78.2%

70.6%

Current model

Other models

Avg (81.2%)

Translation en→Set1 spBleu

43.4%

41.5%

40.2%

Current model

Other models

Avg (41.7%)

Translation en→Set1 COMET22

89.1%

88.8%

88.5%

Current model

Other models

Avg (88.8%)

Translation Set1→en spBleu

44.4%

43.1%

42.6%

Current model

Other models

Avg (43.4%)

Translation Set1→en COMET22

89.0%

88.8%

88.7%

Current model

Other models

Avg (88.8%)

BFCL

Llama 3.1 8B Instruct

76.1%

74.0%

68.4%

66.6%

66.4%

65.0%

60.0%

56.2%

Current model

Other models

Avg (66.6%)

SQuALITY

Phi-3.5-mini-instruct

24.3%

Phi-3.5-MoE-instruct

24.1%

19.8%

19.2%

18.8%

Current model

Other models

Avg (21.2%)

FinQA

77.2%

73.6%

65.2%

Current model

Other models

Avg (72.0%)

CRAG

Mistral Large 2

67.0%

Llama 3.3 70B Instruct

61.7%

Llama 3.1 8B Instruct

60.0%

Ministral 8B Instruct

52.0%

50.3%

49.4%

43.8%

43.1%

Current model

Other models

Avg (53.4%)

Providers Pricing Coming Soon

We're working on gathering comprehensive pricing data from all major providers for Nova Micro. Compare costs across platforms to find the best pricing for your use case.

OpenAI

Anthropic

Google

Mistral AI

Cohere

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