Google DeepMind

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 Q4

Context 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 Q4

Context 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 Q1

Context 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