Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mercury 2 has the cleaner overall profile here, landing at 65 versus 62. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Mercury 2's sharpest advantage is in reasoning, where it averages 80.1 against 69.7. The single biggest benchmark swing on the page is MuSR, 82 to 61. GLM-4.7-Flash does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GLM-4.7-Flash gives you the larger context window at 200K, compared with 128K for Mercury 2.
Pick Mercury 2 if you want the stronger benchmark profile. GLM-4.7-Flash only becomes the better choice if coding is the priority or you need the larger 200K context window.
Mercury 2
63.7
GLM-4.7-Flash
61.3
Mercury 2
41.1
GLM-4.7-Flash
45.9
Mercury 2
68.3
GLM-4.7-Flash
62.5
Mercury 2
80.1
GLM-4.7-Flash
69.7
Mercury 2
57.2
GLM-4.7-Flash
54.1
Mercury 2
84
GLM-4.7-Flash
84
Mercury 2
79.7
GLM-4.7-Flash
81.8
Mercury 2
80.9
GLM-4.7-Flash
74
Mercury 2 is ahead overall, 65 to 62. The biggest single separator in this matchup is MuSR, where the scores are 82 and 61.
Mercury 2 has the edge for knowledge tasks in this comparison, averaging 57.2 versus 54.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GLM-4.7-Flash has the edge for coding in this comparison, averaging 45.9 versus 41.1. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for math in this comparison, averaging 80.9 versus 74. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for reasoning in this comparison, averaging 80.1 versus 69.7. Inside this category, MuSR is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for agentic tasks in this comparison, averaging 63.7 versus 61.3. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for multimodal and grounded tasks in this comparison, averaging 68.3 versus 62.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Mercury 2 and GLM-4.7-Flash are effectively tied for instruction following here, both landing at 84 on average.
GLM-4.7-Flash has the edge for multilingual tasks in this comparison, averaging 81.8 versus 79.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.