GLM 5.2 vs Claude Fable 5: agentic coding at a fraction of the cost

说明与用途

GLM 5.2 在成本仅为 Claude Fable 5 四分之一的情况下，提供相同质量的计划和代码，得益于开放权重和低价令牌。

问题

Developers need to run agentic coding loops efficiently without paying high per‑token costs.

结果

GLM 5.2 produced equally good plans and code as Claude Fable 5 but at ~25% of the cost and with open‑weight licensing, making it the default for routine agentic coding.

工作流

• 1. Prepare a repo context and a prompt that asks the model to redesign a project plan and start implementation.
• 2. Run the same prompt on Claude Fable 5 via its API, record wall‑clock time (~9 min) and cost (~$10).
• 3. Run the same prompt on GLM 5.2 via its API, record wall‑clock time (~17 min) and cost ($2.76).
• 4. Compare output quality (both produce clean plans and usable code).
• 5. Analyze token usage: note that output tokens dominate cost and Fable 5 is ~11× more expensive per output token.
• 6. Decide on model usage: use Fable 5 for hard, high‑stakes tasks; use GLM 5.2 for routine plan‑and‑implement loops.
• 7. Optionally self‑host GLM 5.2 to eliminate token billing entirely.

证据

Fable 5 finished in about 9 min and cost me a little over $10. GLM 5.2 took about 17 min and cost $2.76.

来源

GLM 5.2 is $1.40 in and $4.40 out per million tokens, compared to $10.00 in and $50.00 out for Fable 5.

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Both models produced clean plans and usable first‑pass code.

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