AnthropicClaude Fable 5VSZ.ai (Zhipu AI)GLM-4.7
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-4.7 if your workflow is limited to multi-file code and clearly defined tasks. While Claude Fable 5 holds a major reasoning advantage, GLM-4.7 is optimized for high-volume budget pipelines. Choose Claude Fable 5 for architectural codebase planning, or GLM-4.7 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-4.7 was evaluated on SWE-bench Verified (scoring 73.8%).
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Claude Fable 5 scored 94.1%, while GLM-4.7 scored 85.7%.
Cost Efficiency: GLM-4.7 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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Benchmarks & Scores
Coding (swe-bench-pro)
80.3%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+8.4%)
94.1%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$20.00Input: $10.00 | Output: $50.00Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (swe-bench-verified)
73.8%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)
85.7%graduate-level science QA
Cost & Context
Cost (per 1M tokens)20.0x cheaper
$1.00Input: $0.60 | Output: $2.20Context Window
202.75k tokensFrequently Asked Questions about Claude Fable 5 vs GLM-4.7
GLM-4.7 is cheaper than Claude Fable 5. GLM-4.7 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-4.7 scores 73.8% on swe-bench-verified (multi-file code and clearly defined tasks).
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