Google DeepMind’s multimodal model (2024) with an MoE architecture and a 1–2M-token context window; natively handles text, image, audio and video. A legacy generation.
Context window
1M (do 2M)
tokens
Release date
15 February 2024
Access:APIHostedDeployment:☁ Cloud
Overview
Access & deployment
APIHosted
Cloud
Weights: Closed
Key parameters
📏 Context: 1M (do 2M)
✓ Tools · ✓ Fine-tuning
📥 Input: text, image, audio, video…
Platforms
Technical specification
Context window
1M (do 2M)
tokens
License
Proprietary
Features:✓ Tool use✓ Fine-tuning
Modalities
⬇ Input
textimageaudiovideodocuments
⬆ Output
textcodestructured_data
Capabilities and applications
Native model capabilities
Reasoning
The model's ability to reason logically and solve complex problems.
Category: reasoning
Multi-step reasoning
Carrying out multi-step chains of reasoning across long, complex tasks.
Category: reasoning
Long context
Support for large context windows — tens to hundreds of thousands (or millions) of input tokens. Enables analysis of entire codebases, long documents, and many parallel conversations without losing earlier information. GPT-5.1 supports 400,000 tokens.
Category: language
Coding
Generating, analysing and modifying code in many programming languages. Covers writing functions, debugging, refactoring, code review, and creating tests. Measured by benchmarks such as HumanEval and SWE-bench.
Category: coding
Tool use
The model's ability to call external functions, APIs and tools during a conversation: calculator, search engine, code editor, database. The model decides when and how to use a tool and interprets its result.
Category: planning
Structured output
Producing data in structured formats such as JSON.
Category: structured_generation
Audio understanding
Category: audio
Image understanding
Analysing and interpreting the content of images.
Category: vision
Video understanding
The model's ability to analyse and interpret video content — recognising actions, motion, events and relationships between objects over time.
Category: video
Chart understanding
Reading and interpreting charts, tables and diagrams.
Category: vision
OCR
Recognising text within images and documents.
Category: vision
Multilingual
Competence in many natural languages (from a few to over a hundred): understanding, generation, translation, and code-switching within a single conversation. Frontier models support a wide range of languages with comparable quality.
Category: language
Multimodal understanding
Category: multimodal
Application domains
Technical architecture
Core Architecture
Model Form
Training Techniques
Deployment and security
☁ Available on platforms
🔒 Security / Enterprise
✓ Verified enterprise information
Updated: 24 Jul 2026↗ Security documentation
