Grok 4.20 Non-Reasoning (0309)

Grok 4.20 Non-Reasoning debuts with strong multimodal performance

Grok 4.20 Non-Reasoning enters the benchmark landscape as xAI's latest offering, demonstrating competitive performance across key evaluation metrics. The model achieves a 78.8% score on MMLU, positioning it solidly in the upper tier of current language models, though trailing the leading systems that exceed 85%. On mathematical reasoning tasks via MATH, it scores 71.9%, showing respectable capability but remaining below the frontier models approaching or surpassing 90%. The model delivers 85.5% on MMLU-Pro and 74.9% on GPQA Diamond, indicating strong performance on more challenging academic benchmarks. Coding ability registers at 74.2% on HumanEval, a competent showing for general programming tasks. Multimodal capabilities are notable, with 78.2% on MMMU demonstrating solid vision-language understanding. The model supports JSON structured outputs and tool calling functionality, making it practical for application development. While this baseline verdict cannot assess performance changes, Grok 4.20 Non-Reasoning establishes itself as a capable general-purpose model with particular strength in multimodal tasks, suitable for production use cases requiring reliable but not necessarily state-of-the-art performance across diverse domains.