Google DeepMind
Google DeepMind
Language model · United States ·Dec 2024

Gemini 2.0 Flash

Language Proprietary
12
Benchmarks

About Gemini 2.0 Flash

Gemini 2.0 Flash is an AI model developed by Google DeepMind, in the language category, released in 2024, made available as a proprietary (API-only) model.

On this page you'll find Gemini 2.0 Flash's full specifications, including 12 benchmark results. Review provider pricing and benchmark scores below, or compare Gemini 2.0 Flash head-to-head with other language models.

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Gemini 2.0 Flash benchmark scores
Benchmark Category Score Variant
HumanEval code 89.6% exp-cited-minimax-text
MBPP+ code 75.9% exp-plus-cited-minimax-text
ArenaHard general 72.7% exp-cited-minimax-text
IFEval general 88.4% exp-avg-cited-minimax-text
MMLU general 86.5% exp-cited-minimax-text
MMLU-Pro general 76.4% exp-cited-minimax-text
GSM8K math 95.4% exp-cited-minimax-text
MATH math 83.9% exp-cited-minimax-text
DROP reasoning 89.3% exp-f1-cited-minimax-text
GPQA Diamond reasoning 62.1% exp-diamond-cited-minimax-text
C-SimpleQA safety 63.3% exp-cited-minimax-text
SimpleQA safety 26.6% exp-cited-minimax-text

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Frequently asked questions

What is Gemini 2.0 Flash?

Gemini 2.0 Flash is an AI model developed by Google DeepMind, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Gemini 2.0 Flash?

Gemini 2.0 Flash was developed by Google DeepMind and released in 2024.

Is Gemini 2.0 Flash open source or proprietary?

Gemini 2.0 Flash is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does Gemini 2.0 Flash cost?

Pricing for Gemini 2.0 Flash depends on the provider. See the providers table on this page for the latest API rates.

How does Gemini 2.0 Flash perform on benchmarks?

Gemini 2.0 Flash is benchmarked across 12 evaluations on GenAIList, including HumanEval (89.6%). See the full benchmark table below and compare it with other models.

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