Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-4.7 finishes one point ahead overall, 67 to 66. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
GLM-4.7's sharpest advantage is in agentic, where it averages 66.1 against 60.2. The single biggest benchmark swing on the page is OSWorld-Verified, 61 to 54. Step 3.5 Flash does hit back in multilingual, so the answer changes if that is the part of the workload you care about most.
GLM-4.7 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-4.7.
Pick GLM-4.7 if you want the stronger benchmark profile. Step 3.5 Flash only becomes the better choice if multilingual is the priority or you need the larger 256K context window.
GLM-4.7
66.1
Step 3.5 Flash
60.2
GLM-4.7
46.6
Step 3.5 Flash
47.1
GLM-4.7
70.5
Step 3.5 Flash
66.7
GLM-4.7
80.2
Step 3.5 Flash
78.3
GLM-4.7
61.8
Step 3.5 Flash
60.8
GLM-4.7
85
Step 3.5 Flash
87
GLM-4.7
79.1
Step 3.5 Flash
82.8
GLM-4.7
85
Step 3.5 Flash
84.5
GLM-4.7 is ahead overall, 67 to 66. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 61 and 54.
GLM-4.7 has the edge for knowledge tasks in this comparison, averaging 61.8 versus 60.8. Inside this category, HLE is the benchmark that creates the most daylight between them.
Step 3.5 Flash has the edge for coding in this comparison, averaging 47.1 versus 46.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for math in this comparison, averaging 85 versus 84.5. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for reasoning in this comparison, averaging 80.2 versus 78.3. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for agentic tasks in this comparison, averaging 66.1 versus 60.2. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for multimodal and grounded tasks in this comparison, averaging 70.5 versus 66.7. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
Step 3.5 Flash has the edge for instruction following in this comparison, averaging 87 versus 85. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Step 3.5 Flash has the edge for multilingual tasks in this comparison, averaging 82.8 versus 79.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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