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GLM-5 (Baseten)

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GLM-5 (Baseten) matches Claude Opus 4.6 on core agent tasks such as file operations, tool use, and instruction following. GLM-5 (Baseten) matches Claude Sonnet 4.6 on core agent tasks. GLM-5 (Baseten) matches GPT-5.4 on core agent tasks. GLM-5 (Baseten) has a latency of 0.65 seconds, compared to 2.56 seconds for Claude Opus 4.6. GLM-5 (Baseten) has a latency of 0.65 seconds, compared to 2.56 seconds for Claude Sonnet 4.6. GLM-5 (Baseten) has a latency of 0.65 seconds, compared to 2.56 seconds for GPT-5.4. GLM-5 (Baseten) has a throughput of 70 tokens per second, compared to 34 tokens per second for Claude Opus 4.6. GLM-5 (Baseten) has a throughput of 70 tokens per second, compared to 34 tokens per second for Claude Sonnet 4.6. GLM-5 (Baseten) has a throughput of 70 tokens per second, compared to 34 tokens per second for GPT-5.4. GLM-5 (Baseten) charges $0.95 per million tokens for input, compared to $5.00 for Claude Opus 4.6. GLM-5 (Baseten) charges $0.95 per million tokens for input, compared to $3.00 for Claude Sonnet 4.6. GLM-5 (Baseten) charges $0.95 per million tokens for input, compared to $2.50 for GPT-5.4. GLM-5 (Baseten) charges $3.15 per million tokens for output, compared to $25.00 for Claude Opus 4.6. GLM-5 (Baseten) charges $3.15 per million tokens for output, compared to $15.00 for Claude Sonnet 4.6. GLM-5 (Baseten) charges $3.15 per million tokens for output, compared to $15.00 for GPT-5.4. GLM-5 (Baseten) is hosted by Baseten. Mythos can exploit the patch gap in Windows Mythos is compared to Open-weight model GLM 5.3 for exploit creation· Graphiti 生成的实体摘要

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18关系
CURRENT
18当前有效
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2相关事件
REPORTS
2来源报道
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关系变化

按生效时间
  1. GLM-5 (Baseten)COMPARED TOGLM-5.3

    Mythos is compared to Open-weight model GLM 5.3 for exploit creation

    当前有效1 条来源GLM-5.3
  2. GLM-5 (Baseten)EXPLOITSWindows

    Mythos can exploit the patch gap in Windows

    当前有效1 条来源Windows
  3. GLM-5 (Baseten)HAS OUTPUT PRICEGPT‑5.4

    GLM-5 (Baseten) charges $3.15 per million tokens for output, compared to $15.00 for GPT-5.4.

    当前有效1 条来源GPT‑5.4
  4. GLM-5 (Baseten)HAS THROUGHPUTGPT‑5.4

    GLM-5 (Baseten) has a throughput of 70 tokens per second, compared to 34 tokens per second for GPT-5.4.

    当前有效1 条来源GPT‑5.4
  5. GLM-5 (Baseten)HAS INPUT PRICEHoodi’s Glamsterdam test

    GLM-5 (Baseten) charges $0.95 per million tokens for input, compared to $3.00 for Claude Sonnet 4.6.

    当前有效1 条来源Hoodi’s Glamsterdam test
  6. GLM-5 (Baseten)HAS LATENCYGPT‑5.4

    GLM-5 (Baseten) has a latency of 0.65 seconds, compared to 2.56 seconds for GPT-5.4.

    当前有效1 条来源GPT‑5.4
  7. GLM-5 (Baseten)HOSTED BYBaseten

    GLM-5 (Baseten) is hosted by Baseten.

    当前有效1 条来源Baseten
  8. GLM-5 (Baseten)HAS LATENCYR-SMILES 2

    GLM-5 (Baseten) has a latency of 0.65 seconds, compared to 2.56 seconds for Claude Opus 4.6.

    当前有效1 条来源R-SMILES 2
  9. GLM-5 (Baseten)MATCHESGPT‑5.4

    GLM-5 (Baseten) matches GPT-5.4 on core agent tasks.

    当前有效1 条来源GPT‑5.4
  10. GLM-5 (Baseten)HAS INPUT PRICEGPT‑5.4

    GLM-5 (Baseten) charges $0.95 per million tokens for input, compared to $2.50 for GPT-5.4.

    当前有效1 条来源GPT‑5.4
  11. GLM-5 (Baseten)HAS OUTPUT PRICER-SMILES 2

    GLM-5 (Baseten) charges $3.15 per million tokens for output, compared to $25.00 for Claude Opus 4.6.

    当前有效1 条来源R-SMILES 2
  12. GLM-5 (Baseten)HAS LATENCYHoodi’s Glamsterdam test

    GLM-5 (Baseten) has a latency of 0.65 seconds, compared to 2.56 seconds for Claude Sonnet 4.6.

    当前有效1 条来源Hoodi’s Glamsterdam test
  13. GLM-5 (Baseten)HAS INPUT PRICER-SMILES 2

    GLM-5 (Baseten) charges $0.95 per million tokens for input, compared to $5.00 for Claude Opus 4.6.

    当前有效1 条来源R-SMILES 2
  14. GLM-5 (Baseten)MATCHESHoodi’s Glamsterdam test

    GLM-5 (Baseten) matches Claude Sonnet 4.6 on core agent tasks.

    当前有效1 条来源Hoodi’s Glamsterdam test
  15. GLM-5 (Baseten)HAS OUTPUT PRICEHoodi’s Glamsterdam test

    GLM-5 (Baseten) charges $3.15 per million tokens for output, compared to $15.00 for Claude Sonnet 4.6.

    当前有效1 条来源Hoodi’s Glamsterdam test
  16. GLM-5 (Baseten)HAS THROUGHPUTR-SMILES 2

    GLM-5 (Baseten) has a throughput of 70 tokens per second, compared to 34 tokens per second for Claude Opus 4.6.

    当前有效1 条来源R-SMILES 2
  17. GLM-5 (Baseten)MATCHESR-SMILES 2

    GLM-5 (Baseten) matches Claude Opus 4.6 on core agent tasks such as file operations, tool use, and instruction following.

    当前有效1 条来源R-SMILES 2
  18. GLM-5 (Baseten)HAS THROUGHPUTHoodi’s Glamsterdam test

    GLM-5 (Baseten) has a throughput of 70 tokens per second, compared to 34 tokens per second for Claude Sonnet 4.6.

    当前有效1 条来源Hoodi’s Glamsterdam test

关系是 Graphiti 从报道中提取的事实陈述，不是原文引述；失效时间表示后来的报道显示这条关系已不成立。

相关事件 2

来源报道 2