Gemini 2.5 Pro
Massive 2M token context with native multimodal and tool integration
Overall Highlight
2M token context — process entire codebases, books, and videos in a single prompt
Overview
Gemini 2.5 Pro pushes the boundaries of context length with a 2 million token window — the largest of any frontier model. Features native multimodal understanding, strong code generation, and deep integration with Google's ecosystem. Particularly strong for processing large codebases, long documents, and video content.
Capabilities
- ▸2 million token context window
- ▸Native multimodal (text, image, audio, video)
- ▸Strong code generation and analysis
- ▸Google ecosystem integration
- ▸Long-document and codebase understanding
- ▸Function calling with parallel execution
Use Cases
- →Processing entire codebases
- →Long-document analysis (books, research papers)
- →Video understanding and transcription
- →Multimodal content creation
- →Enterprise knowledge base queries
Version Breakdown
Gemini 2.5 Pro
2025 Q4Context Window
2M tokens
Parameters
Undisclosed
Release
2025 Q4
Highlights
- ▸Largest context window of any frontier model
- ▸Native video understanding
- ▸Strong coding benchmarks
- ▸Google Workspace integration
Benchmarks
MMLU
87.8
HumanEval
90.4
GSM8K
94.6
MATH
75.1
Gemini 2.5 Flash
2025 Q4Context Window
1M tokens
Parameters
Undisclosed
Release
2025 Q4
Highlights
- ▸Optimized for speed and cost
- ▸1M token context (still massive)
- ▸Good multimodal capabilities
- ▸Best for high-throughput applications
Benchmarks
MMLU
82.3
HumanEval
85.8
GSM8K
89.5
MATH
66.8
Gemini 2.0 Flash
2025 Q1Context Window
1M tokens
Parameters
Undisclosed
Release
2025 Q1
Highlights
- ▸Previous generation Flash model
- ▸Excellent latency characteristics
- ▸Good for real-time applications
- ▸Multimodal with image understanding
Benchmarks
MMLU
78.9
HumanEval
82.1
GSM8K
86.0
MATH
60.5