Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Lite is clearly ahead on the aggregate, 63 to 45. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed-2.0-Lite's sharpest advantage is in multimodal & grounded, where it averages 79.6 against 52.3. The single biggest benchmark swing on the page is SWE-bench Verified, 45 to 9.
Seed-2.0-Lite gives you the larger context window at 256K, compared with 128K for Llama 3 70B.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Llama 3 70B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Seed-2.0-Lite
55.1
Llama 3 70B
41.2
Seed-2.0-Lite
41.4
Llama 3 70B
15.8
Seed-2.0-Lite
79.6
Llama 3 70B
52.3
Seed-2.0-Lite
73
Llama 3 70B
59.6
Seed-2.0-Lite
53.9
Llama 3 70B
42.2
Seed-2.0-Lite
89
Llama 3 70B
77
Seed-2.0-Lite
82.5
Llama 3 70B
67.5
Seed-2.0-Lite
75
Llama 3 70B
63.3
Seed-2.0-Lite is ahead overall, 63 to 45. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 45 and 9.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 42.2. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for coding in this comparison, averaging 41.4 versus 15.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for math in this comparison, averaging 75 versus 63.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for reasoning in this comparison, averaging 73 versus 59.6. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for agentic tasks in this comparison, averaging 55.1 versus 41.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for multimodal and grounded tasks in this comparison, averaging 79.6 versus 52.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for instruction following in this comparison, averaging 89 versus 77. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for multilingual tasks in this comparison, averaging 82.5 versus 67.5. 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.