Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed 1.6 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.
Seed 1.6's sharpest advantage is in agentic, where it averages 62.3 against 57.5. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 63 to 56.
Gemini 3 Flash is also the more expensive model on tokens at $0.50 input / $3.00 output per 1M tokens, versus $0.25 input / $2.00 output per 1M tokens for Seed 1.6. Seed 1.6 is the reasoning model in the pair, while Gemini 3 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. Gemini 3 Flash gives you the larger context window at 1M, compared with 256K for Seed 1.6.
Pick Seed 1.6 if you want the stronger benchmark profile. Gemini 3 Flash only becomes the better choice if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.
Seed 1.6
62.3
Gemini 3 Flash
57.5
Seed 1.6
42.4
Gemini 3 Flash
40.4
Seed 1.6
79.6
Gemini 3 Flash
79.6
Seed 1.6
74.5
Gemini 3 Flash
72
Seed 1.6
56.4
Gemini 3 Flash
52.9
Seed 1.6
87
Gemini 3 Flash
85
Seed 1.6
83.4
Gemini 3 Flash
80.5
Seed 1.6
75.9
Gemini 3 Flash
74
Seed 1.6 is ahead overall, 65 to 62. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 63 and 56.
Seed 1.6 has the edge for knowledge tasks in this comparison, averaging 56.4 versus 52.9. Inside this category, HLE 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 40.4. 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 74. 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 72. Inside this category, MuSR 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 57.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed 1.6 and Gemini 3 Flash are effectively tied for multimodal and grounded tasks here, both landing at 79.6 on average.
Seed 1.6 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.
Seed 1.6 has the edge for multilingual tasks in this comparison, averaging 83.4 versus 80.5. 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.