Gemini 3 Pro (Google/DeepMind) and Claude Opus 4.5 (Anthropic) are both 2025 frontier models focused on deep reasoning, agentic workflows, and stronger coding/multimodal capabilities. Gemini 3 Pro is positioned as Google’s broad, multimodal “reasoner + agent” with huge context windows and integrated product surfaces; Claude Opus 4.5 is Anthropic’s recalibrated Opus family member optimized for […]
How to use Claude Opus 4.5 with Cursor and Claude Code — a in-depth guide
Anthropic’s Claude Opus 4.5 is the company’s newest flagship model focused on coding, agentic workflows, and advanced “computer use.” This article explains what Opus 4.5 is, how it performs on public benchmarks, and — step by step — how to use it inside two developer-focused surfaces: Cursor (an AI-powered IDE) and Claude Code (Anthropic’s command-line […]
How Much Does Claude Opus 4.5 Cost — and is it worth it?
Claude Opus 4.5 is Anthropic’s newest “Opus-class” model (released in late November 2025). It’s positioned as a top-tier model for professional software engineering, long-horizon agentic workflows, and high-stakes enterprise tasks, and Anthropic intentionally priced it to make high capability more accessible to production users. Below I unpack what the Claude Opus 4.5 API is, how […]
How to Use Claude Opus 4.5 API
Anthropic released Claude Opus 4.5 in late November 2025 as a more capable, more efficient Opus-class model targeted at professional software engineering, agentic workflows, and long-horizon tasks. It’s available through Anthropic’s developer platform and via CometAPI and it introduces new API controls (notably the effort parameter), improved computer-use tooling, extended thinking, and token efficiency improvements […]
Claude Opus 4.5 API
Claude Opus 4.5 positioned as a hybrid-reasoning, agent-oriented model optimized for long-horizon coding, complex office automation (Excel/PowerPoint automation), multi-tool agent workflows and long-context workflows. Claude Opus 4.5 emphasizes token efficiency, long-horizon coding and agentic tool use with an effort knob to tune tradeoffs; default 200K context with higher long-context options available
Model Type: Chat




