Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed 1.6 is clearly ahead on the aggregate, 65 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed 1.6's sharpest advantage is in reasoning, where it averages 74.5 against 43.2. The single biggest benchmark swing on the page is LongBench v2, 77 to 42.
Seed 1.6 is the reasoning model in the pair, while Qwen2.5-VL-32B 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. Seed 1.6 gives you the larger context window at 256K, compared with 32K for Qwen2.5-VL-32B.
Pick Seed 1.6 if you want the stronger benchmark profile. Qwen2.5-VL-32B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Seed 1.6
62.3
Qwen2.5-VL-32B
33.5
Seed 1.6
42.4
Qwen2.5-VL-32B
14.3
Seed 1.6
79.6
Qwen2.5-VL-32B
52.2
Seed 1.6
74.5
Qwen2.5-VL-32B
43.2
Seed 1.6
56.4
Qwen2.5-VL-32B
34.7
Seed 1.6
87
Qwen2.5-VL-32B
67
Seed 1.6
83.4
Qwen2.5-VL-32B
60.4
Seed 1.6
75.9
Qwen2.5-VL-32B
49.7
Seed 1.6 is ahead overall, 65 to 38. The biggest single separator in this matchup is LongBench v2, where the scores are 77 and 42.
Seed 1.6 has the edge for knowledge tasks in this comparison, averaging 56.4 versus 34.7. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for coding in this comparison, averaging 42.4 versus 14.3. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for math in this comparison, averaging 75.9 versus 49.7. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for reasoning in this comparison, averaging 74.5 versus 43.2. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for agentic tasks in this comparison, averaging 62.3 versus 33.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for multimodal and grounded tasks in this comparison, averaging 79.6 versus 52.2. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for instruction following in this comparison, averaging 87 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for multilingual tasks in this comparison, averaging 83.4 versus 60.4. 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.