Gemini 2.0 Flash Thinking API

Advanced AI model with explicit reasoning capabilities
Output

Overview

Gemini 2.0 Flash Thinking Description

Overview

Gemini 2.0 Flash Thinking is engineered to "think out loud," providing users with a transparent view of its problem-solving process. This approach not only enhances the model's reasoning capabilities but also allows users to follow and understand the logical steps leading to a solution. ​

Key Features
  • Transparent reasoning with step-by-step explanations.
  • Multimodal input support for text and images.
  • Massive context window of 1 million tokens for extended interactions.
  • Tool integration with Google Search, Maps, and code execution for enhanced reasoning tasks.
Intended Use
  • Complex Problem Solving: Ideal for tackling advanced mathematics, physics, and coding challenges.​
  • Educational Tools: Assists in teaching by elucidating problem-solving steps.​
  • Research Analysis: Facilitates in-depth analysis by processing large volumes of information.​

Technical Details

Architecture

‍Transformer-based model with reasoning-specific layers optimized for multimodal inputs (text/images). Includes advanced explainability mechanisms to break down reasoning steps.

Training Data

‍Trained on diverse datasets including math/science benchmarks (e.g., AIME2024), multimodal corpora combining text and images, and synthetic reasoning datasets.

Data Source and Size

‍Incorporates billions of tokens from curated sources alongside millions of structured reasoning examples.

Usage

Code Samples:

The model is available on the AI/ML API platform as "Gemini 2.0 Flash Thinking" .

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API Documentation:

Detailed API Documentation is available here.

Ethical Guidelines

Google DeepMind emphasizes ethical considerations in AI development by promoting transparency regarding the model's capabilities and limitations. The organization encourages responsible usage to prevent misuse or harmful applications of generated content.

Licensing

Gemini 2.0 Flash Thinking is available under a commercial license that allows both research and commercial usage rights while ensuring compliance with ethical standards regarding creator rights.

Use cases

  • AI-powered research assistants with enhanced reasoning transparency
  • Real-time multimedia content analysis and generation
  • Multimodal virtual assistants combining text, speech, and vision
  • Complex query handling in finance, healthcare, gaming, and more
  • Integration in developer tools like Google Colab with Gemini Code Assist

How to use Gemini 2.0 Flash Thinking API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to .

OpenAI-compatible — swap the base URL and it works with your existing SDK.

Gemini 2.0 Flash Thinking API Pricing

TypePrice
Input
Output

Gemini 2.0 Flash Thinking Benchmarks

BenchmarkScoreWhat it measuresSourceRetrieved
Intelligence
8.9
Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026
Math
21.7
Composite score across standardised mathematics evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026

Gemini 2.0 Flash Thinking vs other models

ModelInputOutputContextBest for
$6.5 / 1M tokens
$39 / 1M tokens
1M tokens
Reasoning + agents
$2.6 / 1M tokens
$13 / 1M tokens
1M tokens
Balanced coding + agents
$3.9 / 1M tokens
$19.5 / 1M tokens
1M tokens
Long-context, multimodal & agentic workflows
$1.95 / 1M tokens
$11.7 / 1M tokens
1M tokens
Reasoning + agents

Frequently asked questions

Yes, Gemini 2.0 Flash Thinking can stream responses as they are generated.

Yes, Gemini 2.0 Flash Thinking supports both function calling and structured outputs.

Gemini 2.0 Flash Thinking was built by Google.

Its listed capabilities are function calling, streaming, structured outputs, and reasoning; image generation is not included.

It is built for reasoning tasks and also supports function calling and structured output generation, making it useful for tasks needing logical steps and tool integration.

It is available through the v1 endpoint.

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