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 33. 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 multimodal & grounded, where it averages 79.6 against 32.4. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 27.
Seed 1.6 is also the more expensive model on tokens at $0.25 input / $2.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-1.2B-Thinking. That is roughly Infinityx on output cost alone. Seed 1.6 gives you the larger context window at 256K, compared with 32K for LFM2.5-1.2B-Thinking.
Pick Seed 1.6 if you want the stronger benchmark profile. LFM2.5-1.2B-Thinking only becomes the better choice if you want the cheaper token bill.
Seed 1.6
62.3
LFM2.5-1.2B-Thinking
34.1
Seed 1.6
42.4
LFM2.5-1.2B-Thinking
8.2
Seed 1.6
79.6
LFM2.5-1.2B-Thinking
32.4
Seed 1.6
74.5
LFM2.5-1.2B-Thinking
38.4
Seed 1.6
56.4
LFM2.5-1.2B-Thinking
27
Seed 1.6
87
LFM2.5-1.2B-Thinking
72
Seed 1.6
83.4
LFM2.5-1.2B-Thinking
60.7
Seed 1.6
75.9
LFM2.5-1.2B-Thinking
42.3
Seed 1.6 is ahead overall, 65 to 33. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 27.
Seed 1.6 has the edge for knowledge tasks in this comparison, averaging 56.4 versus 27. 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 8.2. 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 42.3. 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 38.4. Inside this category, SimpleQA 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 34.1. Inside this category, BrowseComp 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 32.4. Inside this category, MMMU-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 72. 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 60.7. 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.