Claude Opus 4.1 Specifications, Review, and Comparison

AI Model Web Page

The entity that provides this model.

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When the model was first released.

Types of data this model can process

The providers that offer this model. (This is not an exhaustive list.)

When the model's knowledge was last updated.

Whether the model's code is available for public use.

Cost for processing tokens in your prompts

Cost for tokens generated by the model

Massive Multitask Language Understanding - Tests knowledge across 57 subjects including mathematics, history, law, and more

A more robust MMLU benchmark with harder, reasoning-focused questions, a larger choice set, and reduced prompt sensitivity

Massive Multitask Multimodal Understanding - Tests understanding across text, images, audio, and video

A challenging sentence completion benchmark

Evaluates code generation and problem-solving capabilities

Tests mathematical problem-solving abilities across various difficulty levels

Tests PhD-level knowledge in chemistry, biology, and physics through multiple choice questions that require deep domain expertise

Tests model's ability to accurately follow explicit formatting instructions, generate appropriate outputs, and maintain consistent instruction adherence across different tasks

Assessing the accuracy of simple questions

Multilingual programming benchmark.

Benchmark for real-time programming

A simplified version of the benchmark for assessing the universality of models at the global level.

Evaluates the mathematical reasoning abilities of AI models within visual contexts