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Cursor Composer 2: The Cache Economy Behind a 10x Cheaper Coding Agent

BACKGROUND
1 SIGNALFIRST DETECTED 2 May 2026
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18 May
Claude Opus 4.7 vs 4.6

<p>The price page hasn't moved. Five dollars per million input. Twenty-five per million output. Identical to Opus 4.6.</p> <p>Run the same Claude Code call on both, though, and

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10 May
THE RECEIPT TRAIL: WHAT THEY CHARGE VS WHAT YOU ACTUALLY PAY

<h2> Cursor and Windsurf are not AI coding tools. They're slot machines wrapped in a dark theme. Both exploits Claude Opus 4.7's broken tokenizer—which silently inflates your

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16 Apr
Claude Opus 4.7: What Actually Changed for Agentic Coding

<p>Anthropic shipped Opus 4.7 on April 16, 2026. Same $5/$25 pricing as 4.6. Same 1M context. Same 128K output ceiling. Different model entirely when you put it in an agentic

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15 May
Claude Code vs Cursor — 90 days with both in 2026

<p>If you have already tried one of them, you are probably wondering whether the other is worth a switch. The short version is that <strong>Claude Code and Cursor are not

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12 Apr
Your Intel Laptop Can Run LLMs Right Now. No NVIDIA. No Cloud. No Problem.

<p>Your Intel laptop has an NPU. It has probably had one for a while. Intel has been marketing it enthusiastically. You have been ignoring it politely.</p> <p>Fair enough. Until

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4 Oct
Qwen3.8 27B | 1 x R9700: 262K context, half a million tokens of reusable cache, ~180 tok/s. And yes, let's talk about the "3-bit" :)

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wxfdt9/qwen38_27b_1_x_r9700_262k_context_half_a_million/"> <img alt="Qwen3.8 27B | 1 x R9700: 262K context,

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24 Mar
Composer 2: What is new and Compares with Claude Opus 4.6 & GPT-5.4

<p>Cursor’s Composer 2 is the company’s newest agentic coding model, announced on March 19, 2026. Cursor describes it as “frontier-level at coding,” built for low-latency software

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12 May
We Tested 10 Untested LLMs on Agent Coding — The Results Are In

<h1> We Tested 10 Untested LLMs on Agent Coding — The Results Are In </h1> <p>Yesterday I promised to benchmark 10 LLMs that have never been tested on real agent coding tasks. I

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