Distillery

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 4.20 is a text generation model developed by xAI, the AI division of X. This variant is specifically configured with reasoning disabled, meaning it skips the extended chain-of-thought process to deliver faster, lower-latency responses while still operating on the full Grok 4.20 architecture. It supports a context window of up to 2 million tokens, allowing it to ingest very long documents, large codebases, or extended conversation histories in a single pass. The model was made available via API in March 2026 as part of the Grok 4.20 Beta family, which also includes reasoning-enabled and multi-agent-tuned variants.

Grok 4.3 is a reasoning model from xAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...

Compare Claude 4.6 Sonnet and Grok 4.3 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare DeepSeek V4 Pro and Grok 4.3 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare Gemini 3.1 Pro and Grok 4.3 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare GPT 5.5 and Grok 4.3 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.