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Z.ai (Zhipu AI)GLM-4.6VSZ.ai (Zhipu AI)GLM-4.7

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

Our Take

We recommend choosing GLM-4.7 because it outperforms or matches GLM-4.6 across reasoning, coding, and context capacity while being cheaper or equal in cost. Choose GLM-4.7 for superior overall value.
WHY?
Benchmark Calculations & Evidence:
  • Coding Benchmarks: Both models were evaluated on the SWE-bench Verified benchmark. GLM-4.7 scored 73.8%, while GLM-4.6 scored 68%.
  • Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. GLM-4.7 scored 85.7%, while GLM-4.6 scored 82.9%.
  • Context Window: GLM-4.7 supports a 203k context window compared to 203k for GLM-4.6.
  • Cost Comparison: GLM-4.7 blended CPM is $0.6/$2.2 compared to $0.6/$2.2 for GLM-4.6.
  • Was this recommendation helpful?
    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)
    $1.00Input: $0.60 | Output: $2.20
    Context Window
    202.75k tokens
    Model Specs

    GLM-4.7

    Open SourceAPI Available

    Benchmarks & Scores

    Coding (swe-bench-verified)Winner (+5.8%)
    73.8%

    multi-file code and clearly defined tasks

    Reasoning (gpqa-diamond)Winner (+2.8%)
    85.7%

    graduate-level science QA

    Cost & Context

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

    Frequently Asked Questions about GLM-4.6 vs GLM-4.7

    Both GLM-4.6 and GLM-4.7 cost the same, with a blended cost of $1.00 per 1 million tokens.

    GLM-4.7 is better for coding tasks on this benchmark. It scores 73.8% on swe-bench-verified (multi-file code and clearly defined tasks) compared to GLM-4.6 which scores 68%.

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