Darwin-397B-ZTC
A large-parameter open-weight language model in VIDRAFT's Darwin series, with approximately 404B parameters, focused on long-chain reasoning capabilities.
Timeline (last 90 days)
GPQA Diamond leaderboard top five: Darwin-180B-RSI 94.4% (180B), Kimi-K3 93.5% (2.8T), Darwin-397B-ZTC 93.4% (404B), Ornith-1.5-397B 92.8% (403B), Qwen3.8-2.4T-A95B 92.6% (2.4T).
Darwin-397B-ZTC's 93.4% on GPQA Diamond used greedy decoding with no majority voting, which is not under the same inference budget as Darwin-180B-RSI's 16-sample majority voting.
VIDRAFT's Darwin product line has multiple models at different scales and inference configurations near the top of the GPQA leaderboard, including 180B-RSI (first), 397B-ZTC (third), and 398B-JGOS (ninth, 90.9%), indicating a multi-version parallel iteration pipeline.
All Facts (3)
GPQA Diamond leaderboard top five: Darwin-180B-RSI 94.4% (180B), Kimi-K3 93.5% (2.8T), Darwin-397B-ZTC 93.4% (404B), Ornith-1.5-397B 92.8% (403B), Qwen3.8-2.4T-A95B 92.6% (2.4T).
50%UnverifiedDarwin-397B-ZTC's 93.4% on GPQA Diamond used greedy decoding with no majority voting, which is not under the same inference budget as Darwin-180B-RSI's 16-sample majority voting.
50%UnverifiedVIDRAFT's Darwin product line has multiple models at different scales and inference configurations near the top of the GPQA leaderboard, including 180B-RSI (first), 397B-ZTC (third), and 398B-JGOS (ninth, 90.9%), indicating a multi-version parallel iteration pipeline.
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