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 66. 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 agentic, where it averages 78.3 against 60.2. The single biggest benchmark swing on the page is OSWorld-Verified, 74 to 54.
GLM-5 (Reasoning) is the reasoning model in the pair, while Step 3.5 Flash is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Step 3.5 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. Step 3.5 Flash only becomes the better choice if you need the larger 256K context window or you would rather avoid the extra latency and token burn of a reasoning model.
GLM-5 (Reasoning)
78.3
Step 3.5 Flash
60.2
GLM-5 (Reasoning)
62.5
Step 3.5 Flash
47.1
GLM-5 (Reasoning)
78.5
Step 3.5 Flash
66.7
GLM-5 (Reasoning)
88.9
Step 3.5 Flash
78.3
GLM-5 (Reasoning)
72
Step 3.5 Flash
60.8
GLM-5 (Reasoning)
92
Step 3.5 Flash
87
GLM-5 (Reasoning)
86.4
Step 3.5 Flash
82.8
GLM-5 (Reasoning)
94.4
Step 3.5 Flash
84.5
GLM-5 (Reasoning) is ahead overall, 78 to 66. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 74 and 54.
GLM-5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 72 versus 60.8. Inside this category, HLE 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 47.1. Inside this category, SWE-bench Pro 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 84.5. 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 78.3. Inside this category, MRCRv2 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 60.2. Inside this category, OSWorld-Verified 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 66.7. 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 87. 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 82.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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