Command R+

Unknown Developer

Command R+ is a powerful 104 billion parameter AI model excelling in multilingual applications. It leverages advanced techniques like Retrieval Augmented Generation (RAG) and multi-step tool use to deliver superior performance.

Model Specifications

Technical details and capabilities of Command R+

Core Specifications

104.0B Parameters

Model size and complexity

128.0K / 128.0K

Input / Output tokens

January 31, 2023

Knowledge cutoff date

August 29, 2024

Release date

Capabilities & License

Multimodal Support

Not Supported

Web Hydrated

No

License

CC-BY-NC

Resources

API Reference

https://docs.cohere.com/v2/docs/command-r-plus

Playground

https://huggingface.co/CohereForAI/c4ai-command-r-plus

Code Repository

https://huggingface.co/CohereForAI/c4ai-command-r-plus

Performance Insights

Check out how Command R+ handles various AI tasks through comprehensive benchmark results.

90

68

45

23

0

88.6

HellaSwag

88.6

(98%)

85.4

Winogrande

85.4

(95%)

75.7

MMLU

75.7

(84%)

71.0

ARC Challenge

71.0

(79%)

70.7

GSM8k

70.7

(79%)

56.3

Truthful QA

56.3

(63%)

49.4

CRAG

49.4

(55%)

44.8

HELMET LongQA

44.8

(50%)

33.1

Arena Hard

33.1

(37%)

18.9

LongBench

18.9

(21%)

13.3

FinanceBench

13.3

(15%)

HellaSwag

Winogrande

MMLU

ARC Challenge

GSM8k

Truthful QA

CRAG

HELMET LongQA

Arena Hard

LongBench

FinanceBench

Model Comparison

See how Command R+ stacks up against other leading models across key performance metrics.

80

64

48

32

16

0

33.1

Arena Hard - Command R+

33.1

(41%)

28.2

Arena Hard - Llama 3.1 8B Instruct

28.2

(35%)

65.8

Arena Hard - Llama 3.3 70B Instruct

65.8

(82%)

70.9

Arena Hard - Ministral 8B Instruct

70.9

(89%)

51.2

Arena Hard - Jamba 1.6 Mini

51.2

(64%)

76.5

Arena Hard - Jamba 1.6 Large

76.5

(96%)

49.4

CRAG - Command R+

49.4

(62%)

60

CRAG - Llama 3.1 8B Instruct

60

(75%)

61.7

CRAG - Llama 3.3 70B Instruct

61.7

(77%)

52

CRAG - Ministral 8B Instruct

52

(65%)

76.2

CRAG - Jamba 1.6 Mini

76.2

(95%)

78.2

CRAG - Jamba 1.6 Large

78.2

(98%)

13.3

FinanceBench - Command R+

13.3

(17%)

28.4

FinanceBench - Llama 3.1 8B Instruct

28.4

(36%)

20

FinanceBench - Llama 3.3 70B Instruct

20

(25%)

19.2

FinanceBench - Ministral 8B Instruct

19.2

(24%)

45.4

FinanceBench - Jamba 1.6 Mini

45.4

(57%)

64.5

FinanceBench - Jamba 1.6 Large

64.5

(81%)

44.8

HELMET LongQA - Command R+

44.8

(56%)

29.2

HELMET LongQA - Llama 3.1 8B Instruct

29.2

(37%)

52.8

HELMET LongQA - Llama 3.3 70B Instruct

52.8

(66%)

33

HELMET LongQA - Ministral 8B Instruct

33

(41%)

46.9

HELMET LongQA - Jamba 1.6 Mini

46.9

(59%)

56.7

HELMET LongQA - Jamba 1.6 Large

56.7

(71%)

18.9

LongBench - Command R+

18.9

(24%)

17.7

LongBench - Llama 3.1 8B Instruct

17.7

(22%)

21.7

LongBench - Llama 3.3 70B Instruct

21.7

(27%)

17.5

LongBench - Ministral 8B Instruct

17.5

(22%)

32

LongBench - Jamba 1.6 Mini

32

(40%)

38.8

LongBench - Jamba 1.6 Large

38.8

(49%)

Arena Hard

CRAG

FinanceBench

HELMET LongQA

LongBench

Command R+

Llama 3.1 8B Instruct

Llama 3.3 70B Instruct

Ministral 8B Instruct

Jamba 1.6 Mini

Jamba 1.6 Large

Detailed Benchmarks

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

Math

GSM8k

94.5%

78.8%

70.7%

Current model

Other models

Avg (81.3%)

Reasoning

HellaSwag

95.4%

95.3%

Claude 3 Sonnet

89.0%

88.6%

Qwen2 72B Instruct

87.6%

86.4%

85.9%

Qwen2.5 32B Instruct

85.2%

Phi-3.5-mini-instruct

69.4%

Current model

Other models

Avg (87.0%)

Knowledge

MMLU

91.8%

Gemini 1.5 Flash

78.9%

Phi-3.5-MoE-instruct

78.9%

77.6%

76.9%

75.7%

75.2%

75.2%

Qwen2.5-Coder 32B Instruct

75.1%

Llama 3.2 3B Instruct

63.4%

Current model

Other models

Avg (76.9%)

Non categorized

ARC Challenge

Llama 3.1 405B Instruct

96.9%

85.7%

Phi-3.5-mini-instruct

84.6%

Llama 3.1 8B Instruct

83.4%

Ministral 8B Instruct

71.9%

71.0%

Llama 3.1 Nemotron 70B Instruct

69.2%

Qwen2 72B Instruct

68.9%

Current model

Other models

Avg (78.9%)

Winogrande

87.5%

85.4%

Qwen2 72B Instruct

85.1%

Llama 3.1 Nemotron 70B Instruct

84.5%

Qwen2.5 32B Instruct

82.0%

80.6%

Mistral NeMo Instruct

76.8%

Ministral 8B Instruct

75.3%

Current model

Other models

Avg (82.2%)

Arena Hard

Llama 3.3 70B Instruct

65.8%

Jamba 1.5 Large

65.4%

51.2%

46.1%

Phi-3.5-MoE-instruct

37.9%

Phi-3.5-mini-instruct

37.0%

33.1%

Llama 3.1 8B Instruct

28.2%

Current model

Other models

Avg (45.6%)

CRAG

Jamba 1.6 Large

78.2%

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 (54.8%)

FinanceBench

Jamba 1.6 Large

64.5%

45.4%

Llama 3.1 8B Instruct

28.4%

Llama 3.3 70B Instruct

20.0%

Ministral 8B Instruct

19.2%

13.3%

Current model

Other models

Avg (31.8%)

HELMET LongQA

Jamba 1.6 Large

56.7%

Llama 3.3 70B Instruct

52.8%

46.9%

44.8%

Ministral 8B Instruct

33.0%

Llama 3.1 8B Instruct

29.2%

Mistral Large 2

26.7%

Current model

Other models

Avg (41.4%)

LongBench

Jamba 1.6 Large

38.8%

Mistral Large 2

34.4%

32.0%

Llama 3.3 70B Instruct

21.7%

18.9%

Llama 3.1 8B Instruct

17.7%

Ministral 8B Instruct

17.5%

Current model

Other models

Avg (25.9%)

Providers Pricing Coming Soon

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

OpenAI

Anthropic

Google

Mistral AI

Cohere

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