# GLM-4.7 vs Claude 3.5: The Rise of 'Interleaved Thinking' The Claude Killer narrative is tired. But **GLM-4.7**, released by Zhipu AI on Dec 22, 2025, might actually deserve the title. It’s not just about raw power. It’s about **how** the model thinks. GLM-4.7 introduces an architecture that changes the game for complex reasoning tasks: **Interleaved Thinking**. ## What is Interleaved Thinking ? Most models think then act. They generate a reasoning chain, then output code. GLM-4.7 does this dynamically. It employs **Turn-level Thinking** and **Preserved Thinking**, allowing it to: 1. Pause generation to think about the next logic step. 2. Retain these thought blocks across a multi-turn conversation. 3. Self-correct before writing a specific line of code. This mimics the Chain-of-Thought (CoT) prompting strategies used by advanced engineers, but it's baked directly into the model's architecture. ## The Benchmark Showdown Let's look at the numbers. They are startling. | Benchmark | GLM-4.7 | Claude Opus 4.1 | Claude 3.5 Sonnet | | :--- | :--- | :--- | :--- | | **AIME 2025 (Math)** | **95.7%** | 78.0% | ~85% | | **SWE-Bench Verified** | 73.8% | **74.5%** | ~70% | | **LiveCodeBench V6** | **84.9%** | ~65% | 64.0% | | **Context Window** | 200k | 200k | 200k | ### 1. Math & Logic (AIME) GLM-4.7 scoring **95.7%** on AIME is unprecedented for an open-weight model. It signifies that for pure logic and algorithmic puzzles, it is likely superior to almost any closed model on the market. ### 2. Coding (LiveCodeBench) With an **84.9%** on LiveCodeBench, it crushes Claude Sonnet (64%). This suggests that for *generation* of new code (DSA problems, fresh functions), GLM-4.7 is sharper and less prone to hallucination. ### 3. Software Engineering (SWE-Bench) Here, Claude still holds a tiny lead (74.5% vs 73.8%). Claude's vibe and ability to handle massive, messy repos is still slightly more refined. But the gap is now negligible. ## The Verdict **Claude 3.5 / Opus** remains the safe choice for enterprise architecture reviews where safety and nuance are paramount. **GLM-4.7** is the new choice for **Power Coders** and **Mathematicians**. If you need to solve a hard algorithm, debug a nasty race condition, or minimize costs (at $0.60/1M tokens vs Claude's $3.00), GLM-4.7 is the clear winner. **[Compare them side-by-side on MangoMind](https://www.mangomindbd.com)**