GLM 5.2 uses roughly double the tokens to reach the same capability as top Western models but at approximately half the price.
Snapshot · Moonshots with Peter Diamandis
GLM 5.2 uses roughly double the tokens to reach the same capability as top Western models but at approximately half the price.
Where this was said
At 2:04:50 · chapter starts 1:43:10
Peter introduces China's GLM 5.2 (753B params, open-weight). Alex explains it matches Opus 4.8 at half the cost using 2x tokens; Salim declares frontier intelligence can no longer be monopolized. [1] — Peter Diamandis "China's GLM 5.2 is 753 billion parameters, open-weight, and in some benchmarks matches or beats Anthropic's Opus 4.8. It does this using ro…" 1:59:37 [2] — Alexander Wissner-Gross "GLM 5.2: 2x tokens, half the price: GLM 5.2 uses roughly double the tokens to reach the same capability as top Western models but at approx…" 2:04:50
China's GLM 5.2 model has 753 billion parameters, is open-weight, and in some benchmarks matches or exceeds top Western models from OpenAI and Anthropic.
China's GLM 5.2 is 753 billion parameters, open-weight, and in some benchmarks matches or beats Anthropic's Opus 4.8. It does this using roughly twice the tokens at half the cost. The Chinese are mastering cheap reasoning — and the window for the US to contain frontier AI is closing fast.
Distillation is how a smaller, cheaper model learns from a larger, more expensive one — like a student absorbing a teacher's knowledge. China's GLM 5.2 almost certainly distilled from Western frontier models. The catch: everyone is doing this, including Google DeepMind, Grok, and Cursor.
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Bhanu filters Ahrefs keyword results to show only those with a keyword difficulty below 10, making them realistic ranking targets for any decent website.
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