Activereasoningllm Proprietary

Gemini 2.5 Pro

by Google· Released March 2025· Cutoff January 2025

Gemini 2.5 Pro is Google's most advanced reasoning model, designed for complex tasks requiring deep thought and multi-step planning. It introduces a 'thinking' capability that allows the model to reason through problems before generating responses, leading to improved accuracy and performance on coding, math, and science benchmarks. It is the first model in the Gemini 2.5 family, setting a new standard for reasoning in Google's lineup.

Official Site API Docs

Input cost

$1.25 per 1M tokens

Output cost

$10.00 per 1M tokens

Context window

1M tokens

Max output

8192 tokens

Modalities

textimageaudiovideo

License

proprietary

Capabilities

ReasoningCode GenerationMultimodal Understanding (text, image, audio, video)Function CallingStreamingJSON ModeLong Context (1M tokens)Agentic Capabilities

Best For

Complex reasoning tasks, advanced coding, and multimodal analysis requiring deep understanding and long context.

Strengths

State-of-the-art reasoning and problem-solving
1M token context window for processing large documents and codebases
Strong performance on coding, math, and science benchmarks
Multimodal input support (text, image, audio, video)
Improved agentic capabilities for tool use and multi-step tasks

Limitations

Higher output pricing compared to previous Gemini models
Experimental version may have limited availability and stability
Not yet optimized for real-time or low-latency applications
May overthink simple tasks, leading to unnecessary verbosity

Use Cases

Advanced code generation and debugging

Complex mathematical problem solving

Scientific research and data analysis

Long-document summarization and Q&A

Multimodal content understanding (e.g., video analysis)

Building autonomous agents for multi-step workflows

Educational tutoring for STEM subjects

Improvements Over Previous Model

Introduces 'thinking' capability for step-by-step reasoning, a new paradigm for Gemini models
Context window expanded from 200K tokens (Gemini 1.5 Pro) to 1M tokens
Significant improvements on coding benchmarks (e.g., HumanEval, SWE-bench) and math reasoning
Multimodal understanding enhanced with native audio and video input support
Agentic capabilities improved for better tool use and multi-step task execution
Pricing restructured: input cost reduced compared to Gemini 1.5 Pro ($1.25 vs $3.50 per 1M tokens), but output cost increased ($10 vs $10.50 per 1M tokens)

Back to all models

Improvements Over Previous Model

Introduces 'thinking' capability for step-by-step reasoning, a new paradigm for Gemini models

Context window expanded from 200K tokens (Gemini 1.5 Pro) to 1M tokens

Significant improvements on coding benchmarks (e.g., HumanEval, SWE-bench) and math reasoning

Multimodal understanding enhanced with native audio and video input support

Agentic capabilities improved for better tool use and multi-step task execution

Pricing restructured: input cost reduced compared to Gemini 1.5 Pro ($1.25 vs $3.50 per 1M tokens), but output cost increased ($10 vs $10.50 per 1M tokens)