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The Nex team: https://github.com/nex-agi/Nex-N2, claims to have beaten GPT 5.5 and Anthropic opus 4.7, in at least one benchmark with a relatively small opensource AI model.
The model is certainly worth trying, considering that it can run locally 100%.
THe model is available in GGUF, q4_k_m here: https://hugston.com/models/hugston-nex-agi-nex-n2-proq4-k-m
for some days. A better look to the benchmark under:
Benchmark Nex-N2-mini Nex-N2-Pro GPT-5.5 Opus 4.7 Kimi-K2.6 GLM-5.1 MiniMax M3 DeepSeek-V4-Pro Agent BrowseComp 74.1 83.7 84.4 79.8 83.2 79.3 83.5 83.4 GDPval 1402 1585 1769 1753 1481 1535 - 1554 Toolathlon 33.3 51.9 55.6 52.8 50.0 40.7 - 51.8 WildClawBench 47.7 53.5 58.2 62.2 - 48.2 - 43.7 WideSearch 62.0 75.6 - - 80.8 - - - TAU3 65.9 71.1 - - - 70.6 - - Coding & SWE SWE-Bench Pro 50.2 58.8 58.6 64.3 58.6 58.4 59.0 55.4 Terminal-Bench 2.1 60.7 75.3 83.4 69.7 - 58.7 66.0 72.0 DeepSWE 8.0 33.6 70 54 24 18 - 8 SWE-Bench Verified 74.4 80.8 82.9 87.6 80.2 - 80.5 80.6 SWE Atlas QnA 31.5 37.9 45.4 45.2 - - 37.9 - SWE Atlas RF 30.0 32.9 44.8 48.6 - - - - SWE Atlas TW 23.3 40.0 42.6 38.2 - - 30.8 - General & Reasoning GPQA Diamond 82.6 90.7 93.6 94.2 90.5 86.2 - 90.1 IFEval 89.1 94.0 - - 94.5 94.5 - 91.9 Apex 9.4 36.5 - - 24.0 11.5 - 38.3
This model was converted and quintized with QUANTA (made by Hugston team):
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We would like users feedback on it. Is this model good as it says?
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