Grok 4.5

4.5 · Family: Grok

An Opus-class model released on 9 July 2026 by xAI. Comparable to Claude Opus 4.7 but faster and cheaper — 2 USD/M input tokens and 6 USD/M output tokens. The company first model launch after its IPO.

✓ Active✓ Public accessLLMReasoning modelTool-using model📁 Grok

Release date

9 July 2026

🏢SpaceXAIProducer

Access:APIHostedDeployment:☁ Cloud

Overview

Grok 4.5 is a general-purpose model released on 9 July 2026, aimed at coding, app building, office work, research and writing. xAI positions it as an Opus-class model — in Elon Musk's words “roughly comparable to Claude Opus 4.7, but much faster.” Its core selling point is capability-to-price ratio: 2 USD per million input tokens and 6 USD per million output tokens, i.e. 2.5x cheaper on input and over 4x cheaper on output than Claude Opus 4.7 (5 USD / 25 USD). The company also claims “twice the token efficiency” of competitors, a figure not yet independently verified. Both the benchmarks and the efficiency claims come from xAI itself rather than independent labs.

Classification

LLMReasoning modelTool-using model

Family: Grok

Access & deployment

APIHosted

Cloud

Weights: Closed

Key parameters

✓ Tools

📥 Input: text

Technical specification

License

Proprietary

Features:✓ Tool use

Modalities

⬇ Input

text

⬆ Output

text

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

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

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

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

Structured output

Producing data in structured formats such as JSON.

Category: structured_generation

Function Calling

Category: planning

Planning

Forming and executing action plans for complex tasks.

Category: planning