Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking is a text generation model from Google that exposes its reasoning process to solve complex problems.
Fast reasoning with visible thinking steps
Gemini 2.0 Flash Thinking (full model name: gemini-2.0-flash-thinking-exp-01-21) is a text generation model developed by Google and released as an experimental variant of the Gemini 2.0 Flash family. It is designed to make its internal reasoning steps visible to the user, allowing developers and researchers to follow the chain of thought the model uses when working through a problem. This transparency in reasoning is the defining characteristic that sets it apart from standard chat-oriented models in the Gemini lineup.
The model is particularly suited for tasks in science and mathematics, where step-by-step reasoning is important for arriving at correct answers. It supports a context window of up to 1,000,000 tokens, making it capable of processing very long documents or extended conversation histories in a single request. Note that this model carries a deprecated status, meaning it has been succeeded by newer releases and may not receive further updates or long-term support.
What Gemini 2.0 Flash Thinking supports
Visible Reasoning
The model exposes its chain-of-thought steps before delivering a final answer, letting developers inspect how conclusions are reached.
Large Context Window
Supports up to 1,000,000 tokens of context, enabling processing of long documents, codebases, or extended conversation histories in one request.
Fast Inference
Built on the Flash architecture, the model is optimized for lower latency responses compared to larger Gemini variants.
Math and Science Tasks
Designed to excel at quantitative and scientific reasoning, making it well-suited for problems that require multi-step logical or numerical analysis.
Text Generation
Generates natural language responses from text prompts, with a maximum response size of 8,192 tokens per output.
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Get Started FreeCommon questions about Gemini 2.0 Flash Thinking
What is the context window size for Gemini 2.0 Flash Thinking?
Gemini 2.0 Flash Thinking supports a context window of up to 1,000,000 tokens, allowing very long inputs to be processed in a single request.
What does 'thinking' mean in this model's name?
The model is designed to expose its internal reasoning steps — often called a chain of thought — before producing a final answer. This makes the problem-solving process visible rather than returning only a final result.
Is Gemini 2.0 Flash Thinking still actively supported?
No. The model carries a deprecated status, which means it has been succeeded by newer releases and is no longer actively maintained or updated.
What is the maximum response size?
The model has a maximum response size of 8,192 tokens per generation.
What tasks is this model best suited for?
According to its archived description, the model excels at science and math tasks, particularly those that benefit from visible, step-by-step reasoning.
Parameters & options
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