Google Gemini 2.0 Flash
Gemini 2.0 Flash is designed to handle high-volume, high-frequency tasks at scale and is highly capable of multimodal reasoning across vast amounts of information with a context window of 1 million tokens.
Intended Use
Text generation
Grounding with Google Search
Gen AI SDK
Multimodal Live API
Bounding box detection
Image generation
Speech generation
Performance
Gemini 2.0 Flash outperforms the predecessor Gemini 1.5 Pro on key benchmarks, at twice the speed. It also features the following improvements:
Multimodal Live API: This new API enables low-latency bidirectional voice and video interactions with Gemini.
Quality: Enhanced performance across most quality benchmarks than Gemini 1.5 Pro.
Improved agentic capabilities: 2.0 Flash delivers improvements to multimodal understanding, coding, complex instruction following, and function calling. These improvements work together to support better agentic experiences.

Limitations
Context: May struggle with maintaining context over extended conversations, leading to inconsistencies in long interactions.
Bias: As it is trained on a large corpus of internet text, it may inadvertently reflect and perpetuate biases present in the training data.
Creativity Boundaries: While capable of creative outputs, it may not always meet specific creative standards or expectations for novel and nuanced content.
Ethical Concerns: Can be used to generate misleading information, offensive content, or be exploited for harmful purposes if not properly moderated.
Comprehension: Might not fully understand or accurately interpret highly technical or domain-specific content, especially if it involves recent developments post-training data cutoff.
Dependence on Prompt Quality: The quality and relevance of the output are highly dependent on the clarity and specificity of the input prompts provided by the user.
Citation
https://cloud.google.com/vertex-ai/generative-ai/docs/gemini-v2#2.0-flash