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AnthropicClaude Fable 5VSZ.ai (Zhipu AI)GLM-4.6

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

We recommend Claude Fable 5 if you need peak intelligence for complex complex codebases, multi-file repositories, and architectural planning, or the 20.0x cheaper GLM-4.6 if your workflow is limited to multi-file code and clearly defined tasks. While Claude Fable 5 holds a major reasoning advantage, GLM-4.6 is optimized for high-volume budget pipelines. Choose Claude Fable 5 for architectural codebase planning, or GLM-4.6 to maximize your budget for basic scripts.
WHY?
Benchmark Calculations & Evidence:
  • Coding Evaluation: Claude Fable 5 was evaluated on SWE-bench Pro (scoring 80.3%), while GLM-4.6 was evaluated on SWE-bench Verified (scoring 68%).
  • Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Claude Fable 5 scored 94.1%, while GLM-4.6 scored 82.9%.
  • Cost Efficiency: GLM-4.6 pricing ($0.6/M input, $2.2/M output) is 20.0x cheaper than Claude Fable 5 ($10/M input, $50/M output).
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    Model Specs

    Claude Fable 5

    Benchmarks & Scores

    Coding (swe-bench-pro)
    80.3%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+11.2%)
    94.1%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $20.00Input: $10.00 | Output: $50.00
    Context WindowLarger
    1.05M tokens
    Model Specs

    GLM-4.6

    Open SourceAPI Available

    Benchmarks & Scores

    Coding (swe-bench-verified)
    68%

    multi-file code and clearly defined tasks

    Reasoning (gpqa-diamond)
    82.9%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)20.0x cheaper
    $1.00Input: $0.60 | Output: $2.20
    Context Window
    202.75k tokens

    Frequently Asked Questions about Claude Fable 5 vs GLM-4.6

    GLM-4.6 is cheaper than Claude Fable 5. GLM-4.6 has a blended cost of $1.00/1M tokens, which is about 20.0x cheaper than Claude Fable 5 at $20.00/1M tokens.

    For coding tasks, Claude Fable 5 scores 80.3% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while GLM-4.6 scores 68% on swe-bench-verified (multi-file code and clearly defined tasks).

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