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Mar 20•6 min read

Cursor's New Model Beats Claude and Costs 86% Less

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Cursor Launches Composer 2 and Takes On the Frontier Labs Anysphere, the company behind AI code editor Cursor, shipped Composer 2 this week. It is a third-generation in-house model trained exclusively on code that now sits within striking distance of the most expensive frontier models at a fraction of the cost.

  • Benchmark Performance: Composer 2 scored 61.7% on the independent Terminal-Bench 2.0, beating Anthropic's Opus 4.6 at 58% and landing within five points of GPT-5.4 on Cursor's own internal benchmark.
  • Pricing: At $0.50 per million input tokens and $2.50 per million output tokens, Composer 2 costs roughly a tenth of GPT-5.4 and a twentieth of Opus 4.6 at comparable speeds.
  • Speed: The model runs 2x faster than its predecessor while maintaining or improving quality across vision and tool-calling tasks.
  • Progression: Scores on Cursor's internal CursorBench have climbed from 38% to 61.3% across three model generations shipped since October.

This is a significant moment. An application-layer company building a model that competes with dedicated frontier labs on coding tasks changes the economics for every developer currently paying full price for Opus or GPT-5.4. If the trend holds, the best coding model may not come from a model lab at all.

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  • Full Stack: The new version pairs Antigravity with Firebase, meaning the AI automatically detects when an app needs user accounts or data storage and configures the backend for you.
  • Roadmap: Google previewed upcoming integrations with Workspace (Drive, Sheets), one-click deployment and connections to payment processors and live data sources.
  • Desktop Expansion: Google is also testing a dedicated Gemini desktop app for Mac, targeting ChatGPT and Claude's desktop presence directly.
  • Scale: If completed, this would be the largest private investment fund in history.
  • Target Sectors: The acquisitions would focus on physical industries including chip fabrication, defence contractors and aerospace manufacturers.
  • Strategy: The plan centres on buying companies with existing manufacturing capacity and retrofitting their operations with AI-driven automation.
  • Secrecy: Details remain thin.
  • Top Hope: Professional excellence was the most frequently cited aspiration, followed by freeing up time, financial independence and broader life management.
  • Top Fear: AI getting things wrong outranked every other concern.
  • Regional Splits: India and South America skewed above average in optimism.
  • Methodology: Claude conducted open-ended conversations rather than fixed surveys, producing qualitative depth at a scale that would be impossible with human interviewers.
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Start here The Post-Model Era and what it means for Enterprise AI? For the last ~3 years, the AI industry has been racing to build bigger, smarter models like ChatGPT, Claude, Gemini and so on. The assumption was simple: whoever built the most powerful model wins. But that race is actually already slowing down. Now the industry is beginning to look beyond the model race and ask: how do companies turn AI into something that actually works and brings value?

In this LinkedIn Live, Ori Goshen (Co-Founder & Co-CEO of AI21 Labs) joins Steve Nouri to unpack what the Post-Model Era means for enterprise AI, from moving beyond the model race to building systems that are reliable, practical and ready for production. Wondering where AI is heading next? This conversation will help put the direction into perspective. Join LinkedIn Live to find the answers.

Google Turns AI Studio Into a Full-Stack App Builder Google rebuilt AI Studio from the ground up this week, transforming what was previously a prompt testing playground into a complete development environment powered by its Antigravity coding agent.

Prompt to Production: Users can describe an app in plain English and go from prompt to a deployed, live application without touching infrastructure.

Internal teams have reportedly already built hundreds of thousands of apps on the platform. The timing is notable. On the same day, OpenAI revealed plans to merge ChatGPT, Codex and Atlas into a single desktop superapp. Both companies appear to have reached the same conclusion: the era of separate AI tools is ending.

Bezos Reportedly Raising $100B for Project Prometheus Jeff Bezos is reportedly raising a $100 billion fund to buy manufacturers in aerospace, chipmaking and defence, then automate their operations with AI. He has reportedly travelled to the Middle East and Singapore to fundraise.

The project is reportedly being run outside of Amazon under the working name Project Prometheus. The sheer scale of the fund signals a bet that AI's biggest returns will not come from software alone. Bezos appears to be positioning for a world where AI-driven automation of physical production becomes as valuable as the models themselves. Anthropic Runs the Largest Qualitative AI Survey Ever Conducted Anthropic released what it says is the biggest qualitative study on AI attitudes ever produced.

The company used a specially built version of Claude to interview 81,000 of its own users across 159 countries and 70 languages in a single week.

Job anxiety, losing personal agency and over-reliance followed closely.

The US, Europe, Japan and South Korea ran neutral or below.

The headline finding is that most people are not choosing between hope and fear. They are carrying both at the same time. But almost as notable is the proof of concept: Claude running 80,000 in-depth interviews across 70 languages in seven days is a research capability that simply did not exist a year ago. TOP 5 Tools of the Week Vidu : an all-in-one AI image and video creation platform that turns ideas into fast, high-quality visuals with tools for text-to-video, image-to-video, and consistent character-driven storytelling.

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