FINAL-Bench/Darwin-Prediction-Weather
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Which Weather Model Is Most Accurate? We Score Them Every Day, in the OpenOrganizations
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Which Weather Model Is Most Accurate? We Score Them Every Day, in the Open
FINAL-Bench
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reacted to SeaWolf-AI's post with 👀🚀🔥🧠➕😎🤗 about 2 hours ago
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🌦️ Which weather model is most accurate? We score them every day, in the open.
We released two things on Hugging Face:
🏆 Global Weather Model Leaderboard
Every day it records what each global model predicted for 24 world cities, compares it with what actually happened (ERA5), and updates the ranking. ECMWF IFS and AIFS, NOAA GFS and AIGFS, DWD ICON, JMA, ECCC GEM, MET Norway, side by side, on the same cases, since 1 January 2026.
Four elements, four tabs: max temperature, min temperature, wind, precipitation. Forecast leads from 1 to 7 days, with 8 to 10 days joining as they are verified.
🧬 Darwin-Prediction-Weather
VIDRAFT's weather prediction system: a fusion engine that combines global forecasts, learning only from days already observed. It holds the lowest error in all four elements at every lead on the 2026 record, and the lowest error in all 15 evaluated cells of the WeatherBench 2 (2020) protocol.
What the 2026 record shows so far:
• AI models now lead physics models at the major centres (AIFS vs IFS, AIGFS vs GFS)
• Fusion goes further: 7-day max temperature RMSE 2.09 °C vs 2.41 °C for the next model
Also inside: yesterday's results with a daily WIN for the closest model, a 10-day outlook for every city, champions by city and by month, and a Live Earth map with wind, clouds, radar and temperature.
Every forecast and every observed value is open as CSV, so anyone can check the scores.
📖 Article: https://huggingface.co/blog/FINAL-Bench/which-weather-model-is-most-accurate-we-score-them
🏆 Leaderboard: FINAL-Bench/Weather-Model-Leaderboard
🧬 Model: FINAL-Bench/Darwin-Prediction-Weather
📊 Daily record: FINAL-Bench/Weather-Model-Forecast-Archive
Questions, corrections and new models to add are welcome.
We released two things on Hugging Face:
🏆 Global Weather Model Leaderboard
Every day it records what each global model predicted for 24 world cities, compares it with what actually happened (ERA5), and updates the ranking. ECMWF IFS and AIFS, NOAA GFS and AIGFS, DWD ICON, JMA, ECCC GEM, MET Norway, side by side, on the same cases, since 1 January 2026.
Four elements, four tabs: max temperature, min temperature, wind, precipitation. Forecast leads from 1 to 7 days, with 8 to 10 days joining as they are verified.
🧬 Darwin-Prediction-Weather
VIDRAFT's weather prediction system: a fusion engine that combines global forecasts, learning only from days already observed. It holds the lowest error in all four elements at every lead on the 2026 record, and the lowest error in all 15 evaluated cells of the WeatherBench 2 (2020) protocol.
What the 2026 record shows so far:
• AI models now lead physics models at the major centres (AIFS vs IFS, AIGFS vs GFS)
• Fusion goes further: 7-day max temperature RMSE 2.09 °C vs 2.41 °C for the next model
Also inside: yesterday's results with a daily WIN for the closest model, a 10-day outlook for every city, champions by city and by month, and a Live Earth map with wind, clouds, radar and temperature.
Every forecast and every observed value is open as CSV, so anyone can check the scores.
📖 Article: https://huggingface.co/blog/FINAL-Bench/which-weather-model-is-most-accurate-we-score-them
🏆 Leaderboard: FINAL-Bench/Weather-Model-Leaderboard
🧬 Model: FINAL-Bench/Darwin-Prediction-Weather
📊 Daily record: FINAL-Bench/Weather-Model-Forecast-Archive
Questions, corrections and new models to add are welcome.
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SuperCLUE’s November 2026 results highlight why category scores matter when choosing a model.
Across the 19 published entries, here are the highest displayed scores in each category, followed by the leader among models labeled open:
• Agentic coding: GPT-6.1-Sol (69.23); open: DeepSeek-V4.1-Flash-1017 (65.38).
• Mathematical and scientific reasoning: GPT-6.1-Sol (76.32); open: Darwin-180B-RSI-R3 (73.68).
• Hallucination control: Gemini-4-Argon (83.19); open: Kimi-K3.1-Pro (67.78).
• Precise instruction following: Gemini-4-Argon and GPT-6.1-Sol (68.97 each); open: Kimi-K3.1-Pro (44.83).
• Ultra-long context: Gemini-4-Argon (95.63); open: Kimi-K3.1-Pro (87.25).
On the overall leaderboard, Gemini-4-Argon (73.62) and GPT-6.1-Sol (71.76) have the highest displayed scores, but neither has an official rank number. Kimi-K3.1-Pro (61.46) holds official rank No. 1 and leads the open models overall, followed by DeepSeek-V4.1-Flash-1017 (58.95, official No. 2) and GLM-5.3 (50.66, official No. 3).
These comparisons include entries whose official rank is “-”. Among officially ranked open models only, DeepSeek leads mathematical and scientific reasoning at 71.05. “Open” follows SuperCLUE’s classification, not an independent license review. Scores are benchmark points, not error rates; small differences and results from a Chinese-language-focused evaluation need validation on your own workloads. Detailed evaluation settings and the aggregation formula were not verified for this summary.
Read the full breakdown: https://huggingface.co/blog/FINAL-Bench/superclue-november-2026-category-leaders-open-mode
Source: SuperCLUE results released November 5, 2026
https://www.superclueai.com/homepage
Official November data: https://www.superclueai.com/data/generalboard/2026%E5%B9%B411%E6%9C%88.xlsx
Across the 19 published entries, here are the highest displayed scores in each category, followed by the leader among models labeled open:
• Agentic coding: GPT-6.1-Sol (69.23); open: DeepSeek-V4.1-Flash-1017 (65.38).
• Mathematical and scientific reasoning: GPT-6.1-Sol (76.32); open: Darwin-180B-RSI-R3 (73.68).
• Hallucination control: Gemini-4-Argon (83.19); open: Kimi-K3.1-Pro (67.78).
• Precise instruction following: Gemini-4-Argon and GPT-6.1-Sol (68.97 each); open: Kimi-K3.1-Pro (44.83).
• Ultra-long context: Gemini-4-Argon (95.63); open: Kimi-K3.1-Pro (87.25).
On the overall leaderboard, Gemini-4-Argon (73.62) and GPT-6.1-Sol (71.76) have the highest displayed scores, but neither has an official rank number. Kimi-K3.1-Pro (61.46) holds official rank No. 1 and leads the open models overall, followed by DeepSeek-V4.1-Flash-1017 (58.95, official No. 2) and GLM-5.3 (50.66, official No. 3).
These comparisons include entries whose official rank is “-”. Among officially ranked open models only, DeepSeek leads mathematical and scientific reasoning at 71.05. “Open” follows SuperCLUE’s classification, not an independent license review. Scores are benchmark points, not error rates; small differences and results from a Chinese-language-focused evaluation need validation on your own workloads. Detailed evaluation settings and the aggregation formula were not verified for this summary.
Read the full breakdown: https://huggingface.co/blog/FINAL-Bench/superclue-november-2026-category-leaders-open-mode
Source: SuperCLUE results released November 5, 2026
https://www.superclueai.com/homepage
Official November data: https://www.superclueai.com/data/generalboard/2026%E5%B9%B411%E6%9C%88.xlsx
upvoted an article 7 days ago
Article
SuperCLUE November 2026: Category Leaders and the Full 19-Model Score Ranking
FINAL-Bench
• • 8 upvoted an article 11 days ago
Article
The Sleeper in the Weights: We Planted a Backdoor in an Agent, and Only the Kernel Caught It
FINAL-Bench
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Space 11 days ago