Unverified50% confidenceFactExact time
Darwin-180B-RSI used a thinking budget of 131,072 tokens in both the MMLU-Pro and GPQA Diamond evaluations.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/19/2026
First Seen
Valid until: 1/17/2027
Sources
Related Entities
Related Claims
UnverifiedDarwin-180B-RSI's MMLU-Pro evaluation used single sampling (temperature=1.0, top_p=0.95, top_k=20), and the GPQA Diamond evaluation used majority voting over up to 16 samples with the same parameters.71% similarUnverifiedAs of October 19, 2026, Darwin-180B-RSI ranks first on the AIhoster leaderboard for MMLU-Pro at 88.1% and first for GPQA Diamond at 94.4%.66% similarUnverifiedGPQA 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).64% similarUnverifiedDarwin-27B-ZTC-v2 ranked 1st out of 102 models on the System One Mosaic Benchmark decision engine leaderboard.63% similarUnverifiedThe model has a core of 125B parameters, plus an n-gram lookup table with 51B parameters and a multi-token prediction (MTP) draft layer with 4B parameters, totaling approximately 180B.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1067088API
curl https://kongchang.com/api/v1/knowledge/claims/1067088MCP
get_claim(id=1067088)