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 multimodal & grounded, where it averages 68.3 against 61.4. The single biggest benchmark swing on the page is OSWorld-Verified, 62 to 52. Qwen3.5 397B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Mercury 2 is also the more expensive model on tokens at $0.25 input / $0.75 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5 397B. That is roughly Infinityx on output cost alone. Mercury 2 is the reasoning model in the pair, while Qwen3.5 397B 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.
Pick Mercury 2 if you want the stronger benchmark profile. Qwen3.5 397B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Mercury 2
63.7
Qwen3.5 397B
56.9
Mercury 2
41.1
Qwen3.5 397B
40.7
Mercury 2
68.3
Qwen3.5 397B
61.4
Mercury 2
80.1
Qwen3.5 397B
75.9
Mercury 2
57.2
Qwen3.5 397B
59.3
Mercury 2
84
Qwen3.5 397B
82
Mercury 2
79.7
Qwen3.5 397B
78.8
Mercury 2
80.9
Qwen3.5 397B
81.6
Mercury 2 is ahead overall, 65 to 62. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 62 and 52.
Qwen3.5 397B has the edge for knowledge tasks in this comparison, averaging 59.3 versus 57.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for coding in this comparison, averaging 41.1 versus 40.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for math in this comparison, averaging 81.6 versus 80.9. 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 75.9. Inside this category, BBH 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 56.9. 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 61.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for instruction following in this comparison, averaging 84 versus 82. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for multilingual tasks in this comparison, averaging 79.7 versus 78.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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