Activereasoningllm Proprietary

Gemini 2.0 Flash Thinking

by Google· Released December 2024· Cutoff August 2024

Gemini 2.0 Flash Thinking is an experimental model that uses chain-of-thought reasoning to improve performance on complex tasks. It is designed to think through problems step-by-step, making it particularly effective for math, coding, and logic. It is part of the Gemini 2.0 Flash family, optimized for speed and efficiency.

Official Site API Docs

Input cost

$0.10 per 1M tokens

Output cost

$0.40 per 1M tokens

Context window

1M tokens

Max output

8192 tokens

Modalities

textimageaudiovideo

License

proprietary

Capabilities

Chain-of-Thought ReasoningCode GenerationMath Problem SolvingMultimodal Understanding (text, image, audio, video)Function CallingStreamingJSON Mode

Best For

Complex reasoning tasks requiring step-by-step thinking, such as advanced math, coding, and logic puzzles.

Strengths

Strong chain-of-thought reasoning capabilities
1M token context window
Multimodal input support (text, image, audio, video)
Fast inference speed
Competitive pricing

Limitations

Experimental model - may have unpredictable behavior
Not suitable for all tasks; overkill for simple queries
Limited availability (may be rate-limited)
No guaranteed uptime or SLA

Use Cases

Solving complex math problems

Debugging and explaining code

Multi-step reasoning tasks

Educational tutoring for STEM subjects

Data analysis with logical reasoning

Generating structured outputs with reasoning

Research and experimentation

Improvements Over Previous Model

Introduces explicit chain-of-thought reasoning, a new capability not present in Gemini 2.0 Flash
Improved performance on reasoning benchmarks (e.g., MATH, GSM8K) compared to Gemini 2.0 Flash
Maintains the same 1M token context window as Gemini 2.0 Flash
Pricing is identical to Gemini 2.0 Flash ($0.10/$0.40 per 1M tokens)
Experimental status allows for rapid iteration and feedback

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