MultimodalMultimodalGemini 1.5 FamilyEnriched

Gemini 1.5 Pro

Gemini 1.5 Pro is Google’s flagship multimodal large language model capable of understanding and generating text, code, and analyzing images, audio, and video within an extremely large context window (up to 1M tokens in public preview). It is designed as a general-purpose model for complex reasoning, multi-step problem solving, and enterprise applications, with tight integration into Google’s Gemini API and Vertex AI. The model emphasizes long-context retrieval, tool use, and multimodal workflows across Google’s ecosystem.

by GoogleReleased 2024-02-08Proprietary
Context Window
1000K
MMLU
75.8%
HumanEval
84.1%
API Access
Available
Fine-tuning
Supported

Key Capabilities

  • +Multimodal understanding across text, images, audio, and video
  • +Extremely long-context processing (up to 1M tokens in preview)
  • +Advanced reasoning and multi-step problem solving
  • +Strong code generation and debugging across multiple languages
  • +Tool use and function calling via Gemini API and Vertex AI
  • +Enterprise integration with Google Cloud, Workspace, and search
  • +Support for structured outputs and JSON-compatible responses

Limitations

  • -Proprietary model with no downloadable weights or on-prem deployment
  • -Limited transparency on training data, architecture, and exact parameter count
  • -May hallucinate or produce incorrect or fabricated information
  • -Multimodal performance can degrade with low-quality, noisy, or ambiguous inputs
  • -Fine-tuning options are more constrained than many open-source models

Benchmark Performance

math

math

MATH

67.7%
math

Grade School Math 8K

91.7%

reasoning

reasoning

Graduate-Level Google-Proof Q&A

52.0%
reasoning

BIG-Bench Hard

84.0%
reasoning

Massive Multi-discipline Multimodal Understanding

62.2%
reasoningsource

Massive Multitask Language Understanding

85.9%

conversation

conversation

Chatbot Arena Elo

1260.0Elo

coding

coding

HumanEval

84.1%

Alternatives & Comparisons

GPT-4omultimodal

OpenAI’s flagship multimodal model with strong coding and reasoning, optimized for real-time interaction and low-latency audio/vision.

Strengths
  • + High-quality multimodal understanding and generation
  • + Strong coding and reasoning performance
Weaknesses
  • - Proprietary with no self-hosting
  • - Context window smaller than Gemini 1.5 Pro’s 1M-token preview

Anthropic’s balanced flagship model with strong reasoning, safety focus, and large context window.

Strengths
  • + Very strong reasoning and writing quality
  • + Long context and good tool-use support
Weaknesses
  • - Proprietary and cloud-only
  • - Multimodal capabilities less mature than some competitors in certain domains

Open-weight LLM suitable for self-hosting and fine-tuning, with strong text and coding performance but limited native multimodality.

Strengths
  • + Open weights and flexible deployment
  • + Good performance for text and code
Weaknesses
  • - No native multimodal support without additional models
  • - Smaller context window than Gemini 1.5 Pro

Other Gemini 1.5 Models