Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-5 (Reasoning) is clearly ahead on the aggregate, 78 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5 (Reasoning)'s sharpest advantage is in coding, where it averages 62.5 against 27.6. The single biggest benchmark swing on the page is SWE-bench Verified, 62 to 24.
Seed 1.6 Flash gives you the larger context window at 256K, compared with 200K for GLM-5 (Reasoning).
Pick GLM-5 (Reasoning) if you want the stronger benchmark profile. Seed 1.6 Flash only becomes the better choice if you need the larger 256K context window.
GLM-5 (Reasoning)
78.3
Seed 1.6 Flash
54.5
GLM-5 (Reasoning)
62.5
Seed 1.6 Flash
27.6
GLM-5 (Reasoning)
78.5
Seed 1.6 Flash
73.1
GLM-5 (Reasoning)
88.9
Seed 1.6 Flash
66.8
GLM-5 (Reasoning)
72
Seed 1.6 Flash
47.3
GLM-5 (Reasoning)
92
Seed 1.6 Flash
81
GLM-5 (Reasoning)
86.4
Seed 1.6 Flash
72.8
GLM-5 (Reasoning)
94.4
Seed 1.6 Flash
67.1
GLM-5 (Reasoning) is ahead overall, 78 to 56. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 62 and 24.
GLM-5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 72 versus 47.3. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GLM-5 (Reasoning) has the edge for coding in this comparison, averaging 62.5 versus 27.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GLM-5 (Reasoning) has the edge for math in this comparison, averaging 94.4 versus 67.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GLM-5 (Reasoning) has the edge for reasoning in this comparison, averaging 88.9 versus 66.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GLM-5 (Reasoning) has the edge for agentic tasks in this comparison, averaging 78.3 versus 54.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GLM-5 (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 78.5 versus 73.1. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
GLM-5 (Reasoning) has the edge for instruction following in this comparison, averaging 92 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GLM-5 (Reasoning) has the edge for multilingual tasks in this comparison, averaging 86.4 versus 72.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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