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Anthropic’s Claude Opus 4.5 Launched, Surpasses Gemini 3 Pro in Coding Benchmarks

Anthropic Unveils Claude Opus 4.5, A New Peak Model That Outperforms Gemini 3 Pro in Coding

Written By : Naveen Ramu
Reviewed By : Shovan Roy

Anthropic has officially launched Claude Opus 4.5, which comes at a time when demand for superior coding precision and reliable AI processes is increasing rapidly across sectors. The company claims this release is the best model yet, offering more precise support for developers, automation, and general professional tasks.

The launch becomes increasingly important as businesses seek next-generation AI models that are not only faster but also more reliable than current systems. According to Anthropic, Opus 4.5 sets a new standard by excelling across real-world software engineering benchmarks. Its promise of surpassing leading rivals creates a compelling reason to watch how this model reshapes real-world development work.

What’s New: Memory, Reasoning, and Everyday Tasks

Opus 4.5 brings a 200K-token context window, allowing for much longer conversations and more complex task handling. Anthropic says the model is better at remembering relevant details and compressing memory when the context window fills up, which supports “endless chat,” where the AI summarises older content rather than truncating it.

Beyond raw code, Opus 4.5 also improves in vision, reasoning, and mathematics. For everyday professional work, the model handles deep research, slide-making, and spreadsheet creation much more effectively than older versions.

New Tools and Integrations

Anthropic isn’t just updating the core model; its product ecosystem is getting a boost, too. Claude for Chrome is now broadly available for Max users, and the Excel integration has reached beta for Max, Team, and Enterprise users.

On the developer front, Claude Code has been updated with a refined “Plan Mode.” In this mode, Claude asks clarifying questions, builds a structured plan file (plan.md), and then executes reliably. The desktop app also supports parallel sessions, which makes debugging, research, and documentation more efficient.

Pricing & Access

Claude Opus 4.5 is now available via Claude’s API, the web app, and across major cloud platforms (Amazon Bedrock, Google Cloud, Microsoft Foundry). Anthropic has priced it at US$5 per million input tokens and US$25 per million output tokens, making front-line Opus features more accessible.

Anthropic also removed Opus-specific usage caps for certain paid user tiers, especially for Max and Team Premium customers.

Safety & Reliability

Opus 4.5 has undergone extensive evaluation in partnership with external experts to ensure safety, security, and alignment. According to Anthropic’s model card, the system exhibits improved resistance to prompt-injection attacks, and the company affirms that its trust and safety protocols remain rigorous.

Why Claude Opus 4.5 Beats Gemini 3 Pro in Coding

In benchmark tests like SWE-bench and Terminal-bench, Opus 4.5 outperforms not only earlier Claude models but also tough competitors, including Gemini 3 Pro. Anthropic claims that the model uses fewer tokens to arrive at high-quality solutions, making it both more efficient and more capable.

This performance is essential for programmers developing large and complicated scenarios that involve multiple steps. The enhancements in planning, reasoning depth, and token efficiency could result in actual production increases and cost savings.

Also Read: Anthropic Launches Claude Code Web App for AI-Powered Coding Agents

Final Analysis

Claude Opus 4.5 enhances the AI ecosystem by combining improved reasoning with a more effective context window. Its improved coding skill, refined planning system, and expanded integrations show a clear intent to support real work rather than just theoretical benchmarks.

The model’s gains in efficiency and accuracy position it as a compelling option for developers and enterprises aiming to modernise their workflows. With these upgrades, Opus 4.5 signals a confident step forward in the race to build reliable and high-performing next-generation AI systems.

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