Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed 1.6 Flash is clearly ahead on the aggregate, 56 to 37. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed 1.6 Flash's sharpest advantage is in multimodal & grounded, where it averages 73.1 against 41.6. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 38.
Seed 1.6 Flash is the reasoning model in the pair, while Qwen3 235B 2507 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 Flash gives you the larger context window at 256K, compared with 128K for Qwen3 235B 2507.
Pick Seed 1.6 Flash if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Seed 1.6 Flash
54.5
Qwen3 235B 2507
33.7
Seed 1.6 Flash
27.6
Qwen3 235B 2507
14.6
Seed 1.6 Flash
73.1
Qwen3 235B 2507
41.6
Seed 1.6 Flash
66.8
Qwen3 235B 2507
45.6
Seed 1.6 Flash
47.3
Qwen3 235B 2507
31.9
Seed 1.6 Flash
81
Qwen3 235B 2507
69
Seed 1.6 Flash
72.8
Qwen3 235B 2507
60.4
Seed 1.6 Flash
67.1
Qwen3 235B 2507
46.6
Seed 1.6 Flash is ahead overall, 56 to 37. The biggest single separator in this matchup is MMMU-Pro, where the scores are 74 and 38.
Seed 1.6 Flash has the edge for knowledge tasks in this comparison, averaging 47.3 versus 31.9. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for coding in this comparison, averaging 27.6 versus 14.6. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for math in this comparison, averaging 67.1 versus 46.6. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for reasoning in this comparison, averaging 66.8 versus 45.6. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for agentic tasks in this comparison, averaging 54.5 versus 33.7. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for multimodal and grounded tasks in this comparison, averaging 73.1 versus 41.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for instruction following in this comparison, averaging 81 versus 69. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for multilingual tasks in this comparison, averaging 72.8 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.