Image Understanding
Analyzes image content including objects, styles, charts, and documents. Accepts JPG, JPEG, or PNG files up to 20MiB per image.
Grok 2 Vision (grok-2-vision-1212) is a multimodal language model developed by xAI and released in December 2024. It accepts combined image and text inputs and is designed to understand, analyze, and respond to visual content alongside natural language. The model supports images up to 20MiB in JPG, JPEG, or PNG format and can process inputs in any order. It also includes multilingual support and improved instruction-following compared to earlier Grok vision releases. Grok 2 Vision is suited for production use cases that require visual comprehension, such as image captioning, visual question answering, chart and document analysis, and building AI assistants that respond to visual inputs. It supports tool calling and structured outputs, making it straightforward to integrate into developer workflows. With a 32,768-token context window, it can handle moderately long conversations that mix text and image content.
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A fuller summary of positioning, capabilities, and source-specific details for Grok 2 Vision.
Grok 2 Vision (grok-2-vision-1212) is a multimodal language model developed by xAI and released in December 2024. It accepts combined image and text inputs and is designed to understand, analyze, and respond to visual content alongside natural language. The model supports images up to 20MiB in JPG, JPEG, or PNG format and can process inputs in any order. It also includes multilingual support and improved instruction-following compared to earlier Grok vision releases.
Grok 2 Vision is suited for production use cases that require visual comprehension, such as image captioning, visual question answering, chart and document analysis, and building AI assistants that respond to visual inputs. It supports tool calling and structured outputs, making it straightforward to integrate into developer workflows. With a 32,768-token context window, it can handle moderately long conversations that mix text and image content.
Analyzes image content including objects, styles, charts, and documents. Accepts JPG, JPEG, or PNG files up to 20MiB per image.
Accepts interleaved text and image inputs in any order within a single request, enabling flexible prompt construction.
Processes and generates responses in multiple languages, making it usable for internationally facing applications.
Follows complex and nuanced prompts with improved steerability introduced in the December 2024 release.
Supports function calling so developers can connect the model to external tools and APIs within their pipelines.
Returns structured data formats and supports temperature control for predictable, integration-ready responses.
Answers natural language questions about image content, including charts, diagrams, and scanned documents.
Supports up to 32,768 tokens per request, accommodating extended conversations that mix text and image inputs.
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AIME 2024
American math olympiad problems
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GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
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HLE
Questions that challenge frontier models across many domains
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LiveCodeBench
Real-world coding tasks from recent competitions
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MATH-500
Undergraduate and competition-level math problems
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MMLU-Pro
Expert knowledge across 14 academic disciplines
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SciCode
Scientific research coding and numerical methods
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Official model cards, release notes, docs, and other references synced from the source page.
Grok 2 Vision supports a context window of 32,768 tokens per request.
The model accepts JPG, JPEG, and PNG image formats, with a maximum file size of 20MiB per image.
Grok 2 Vision was released in December 2024, with a training date listed as December 2024.
Yes, Grok 2 Vision supports function calling and structured outputs, allowing integration with external tools and APIs.
Grok 2 Vision is published by xAI (the AI division of X). It is accessible through the xAI API and is also listed on OpenRouter under the model ID grok-2-vision-1212.
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