Gemini 2.0 Flash

Google

This cutting-edge model offers exceptional speed and a 1M token context window. It natively utilizes tools and generates diverse content across multiple modalities. Handling audio, images, video, and text inputs, it excels at producing structured outputs, executing functions and code, performing searches, and conducting a variety of multimodal operations.

Model Specifications

Technical details and capabilities of Gemini 2.0 Flash

Core Specifications

1.0M / 8.2K

Input / Output tokens

July 31, 2024

Knowledge cutoff date

November 30, 2024

Release date

Capabilities & License

Multimodal Support

Supported

Web Hydrated

Yes

License

Proprietary

Resources

API Reference

https://ai.google.dev/gemini-api/docs/models/gemini#gemini-2.0-flash

Playground

https://ai.google.dev/studio

Performance Insights

Check out how Gemini 2.0 Flash handles various AI tasks through comprehensive benchmark results.

100

92.9

Natural2Code

92.9

(93%)

89.7

MATH

89.7

(90%)

83.6

FACTS Grounding

83.6

(84%)

76.4

MMLU-Pro

76.4

(76%)

71.5

EgoSchema

71.5

(72%)

70.7

MMMU

70.7

(71%)

69.2

MRCR

69.2

(69%)

HiddenMath

(63%)

62.1

GPQA

62.1

(62%)

56.9

Bird-SQL

56.9

(57%)

56.3

Vibe-Eval

56.3

(56%)

39.2

CoVoST2

39.2

(39%)

35.1

LiveCodeBench

35.1

(35%)

Natural2Code

MATH

FACTS Grounding

MMLU-Pro

EgoSchema

MMMU

MRCR

HiddenMath

GPQA

Bird-SQL

Vibe-Eval

CoVoST2

LiveCodeBench

Model Comparison

See how Gemini 2.0 Flash stacks up against other leading models across key performance metrics.

100

76.4

MMLU-Pro - Gemini 2.0 Flash

76.4

(76%)

75.8

MMLU-Pro - Gemini 1.5 Pro

75.8

(76%)

67.3

MMLU-Pro - Gemini 1.5 Flash

67.3

(67%)

58.7

MMLU-Pro - Gemini 1.5 Flash 8B

58.7

(59%)

92.9

Natural2Code - Gemini 2.0 Flash

92.9

(93%)

85.4

Natural2Code - Gemini 1.5 Pro

85.4

(85%)

79.8

Natural2Code - Gemini 1.5 Flash

79.8

(80%)

75.5

Natural2Code - Gemini 1.5 Flash 8B

75.5

(76%)

89.7

MATH - Gemini 2.0 Flash

89.7

(90%)

86.5

MATH - Gemini 1.5 Pro

86.5

(87%)

77.9

MATH - Gemini 1.5 Flash

77.9

(78%)

58.7

MATH - Gemini 1.5 Flash 8B

58.7

(59%)

HiddenMath - Gemini 2.0 Flash

(63%)

HiddenMath - Gemini 1.5 Pro

(52%)

47.2

HiddenMath - Gemini 1.5 Flash

47.2

(47%)

32.8

HiddenMath - Gemini 1.5 Flash 8B

32.8

(33%)

62.1

GPQA - Gemini 2.0 Flash

62.1

(62%)

59.1

GPQA - Gemini 1.5 Pro

59.1

(59%)

GPQA - Gemini 1.5 Flash

(51%)

38.4

GPQA - Gemini 1.5 Flash 8B

38.4

(38%)

MMLU-Pro

Natural2Code

MATH

HiddenMath

GPQA

Gemini 2.0 Flash

Gemini 1.5 Pro

Gemini 1.5 Flash

Gemini 1.5 Flash 8B

Detailed Benchmarks

Dive deeper into Gemini 2.0 Flash's performance across specific task categories. Expand each section to see detailed metrics and comparisons.

Coding

LiveCodeBench

80.0%

41.8%

40.5%

39.0%

37.6%

35.1%

Qwen2.5-Coder 32B Instruct

31.4%

Qwen2.5 7B Instruct

28.7%

Qwen2 7B Instruct

26.6%

Qwen2.5-Coder 7B Instruct

18.2%

Current model

Other models

Avg (37.9%)

Knowledge

MATH

o3-mini

97.9%

96.4%

89.7%

89.0%

86.5%

85.5%

83.1%

83.1%

32.6%

Current model

Other models

Avg (82.6%)

GPQA

87.7%

71.5%

71.4%

67.2%

65.2%

62.1%

60.0%

59.4%

59.1%

25.3%

Current model

Other models

Avg (62.9%)

Non categorized

MMLU-Pro

84.0%

77.6%

76.4%

76.1%

75.9%

75.8%

75.5%

74.7%

Qwen2.5-Coder 7B Instruct

40.1%

Current model

Other models

Avg (72.9%)

Natural2Code

92.9%

85.4%

79.8%

75.5%

Current model

Other models

Avg (83.4%)

HiddenMath

63.0%

56.0%

52.0%

47.2%

32.8%

Current model

Other models

Avg (50.2%)

MRCR

Gemini Pro 2.5 Experimental

83.1%

82.6%

71.9%

69.2%

54.7%

48.8%

36.3%

Current model

Other models

Avg (63.8%)

MMMU

Gemini Pro 2.5 Experimental

81.7%

77.3%

Gemini 2.0 Flash Thinking

75.4%

75.0%

74.4%

70.7%

70.3%

70.0%

69.1%

0.0%

Current model

Other models

Avg (66.4%)

Vibe-Eval

Gemini Pro 2.5 Experimental

69.4%

56.3%

53.9%

48.9%

40.9%

Current model

Other models

Avg (53.9%)

EgoSchema

GPT-4o

72.2%

Gemini 2.0 Flash

71.5%

Gemini 1.0 Pro

55.7%

Current model

Other models

Avg (66.5%)

Providers Pricing Coming Soon

We're working on gathering comprehensive pricing data from all major providers for Gemini 2.0 Flash. Compare costs across platforms to find the best pricing for your use case.

OpenAI

Anthropic

Google

Mistral AI

Cohere

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Gemini 2.0 Flash

Model Specifications

Core Specifications

Capabilities & License

Resources

Performance Insights

Model Comparison

Detailed Benchmarks

Coding

LiveCodeBench

Knowledge

MATH

GPQA

Non categorized

MMLU-Pro

Natural2Code

HiddenMath

MRCR

MMMU

Vibe-Eval

EgoSchema

Providers Pricing Coming Soon

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