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# Anthropic unveils Claude 4 models to take on OpenAI and Google in the Agentic AI race
- URL: https://www.techloy.com/anthropic-unveils-claude-4-models-to-take-on-openai-and-google-in-the-agentic-ai-race/
- Published: 2025-05-23T13:53:34.000Z
- Updated: 2025-05-23T13:53:34.000Z
- Description: Anthropic calls the models a major leap forward in intelligence, usefulness, and autonomy.
- Author: Emmanuel Oyedeji
- Tags: / Consumer Tech, Anthropic, Agentic AI, Claude, Claude 4, / Artificial Intelligence

AI model launches are arriving faster than ever. [OpenAI](https://www.techloy.com/tag/openai/) [recently debuted GPT-4.1](https://www.techloy.com/openai-rolls-out-gpt-4-1-and-gpt-4-1-mini-for-chatgpt/) and its new [o3 reasoning models](https://www.techloy.com/openai-introduces-o3-model-family-as-successor-to-o1-model-focusing-on-ai-reasoning/), [Google](https://www.techloy.com/tag/google/) followed with Gemini 2.5 Pro, and now Anthropic has entered the fray with Claude 4 — its most advanced family of models designed not just to respond, but to reason, code, and carry out sustained, complex work.

Unveiled at its Anthropic’s *Code with Claude* developer event, Anthropic introduced two models: **Claude 4 Opus** and **Claude 4 Sonnet**, both part of what the company calls a major leap forward in intelligence, usefulness, and autonomy. 

According to [Anthropic](https://www.techloy.com/tag/anthropic/), these models “set a new standard for AI agents,” with capabilities that include analysing thousands of documents, executing long-horizon tasks, and are tuned to perform well on programming tasks, making them well-suited for writing and editing code.

Claude Opus 4, the flagship, is positioned as the best coding model in the world, according to Anthropic. It scored **72.5% on SWE-bench**, a benchmark for real-world software engineering tasks, beating Google’s Gemini 2.5 Pro and OpenAI’s [o3](https://www.techloy.com/tag/o3-model/) and [GPT-4.1](https://www.techloy.com/openai-launches-gpt-4-1-and-it-is-focused-on-performance-and-code/). It also scored **43.2% on Terminal-bench**, which evaluates command-line performance. Anthropic says Opus can autonomously work for up to **seven hours**, maintaining context and producing consistent output across multi-step challenges.

![](https://storage.ghost.io/c/c1/a6/c1a6d111-d951-41ad-a392-c1e841210b93/content/images/2025/05/image-243.png)

The results of Anthropic’s internal benchmark tests ****Image Credits:** **Anthropic*

Claude Sonnet 4, while more lightweight, still delivers strong performance. It builds on Claude 3.7 – launched earlier this year– with better control and instruction following. CEO Dario Amodei noted that the earlier Sonnet often overdid tasks — an issue addressed in version 4\. Sonnet 4 now balances capability and efficiency and performs comparably to Opus on some coding benchmarks.

But beyond the raw performance gains, both Claude 4 models arrive with expanded autonomy. Both models introduce **tool use** and **improved memory**, enabling Claude to retrieve information on the web mid-task, access files, and retain key details across sessions. These capabilities, still in beta, support Anthropic’s push beyond reasoning toward what Anthropic describes as “agentic” AI — models that don’t just respond but actively plan, reason, and act.

Anthropic also rolled out updates to Claude Code, its terminal-native coding assistant, allowing it to integrate with IDEs like VS Code and JetBrains, and supports GitHub Actions for background tasks and file editing.

With the launch, Claude 4 is now accessible via Claude.ai, Amazon Bedrock, and Google Cloud’s Vertex AI. Sonnet 4 is available to all users, while Opus 4 is reserved for paid plans. API pricing starts at $15 per million input tokens and $75 for output for Opus, while Sonnet costs $3 and $15, respectively.

As competition intensifies, Anthropic is positioning itself not just as another model vendor but as a platform for real AI work. It shows in its financial performance. Anthropic’s revenue doubled to a $2 billion annual run rate in Q1\. With a recent $2.5 billion credit line, the company is signalling it’s ready to compete for the long haul, not just with smarter models, but more useful ones.