Motif-Technologies/Motif-3 official realese
Heat trend
Collecting trend data
The percentage is based on available heat signal, not comment count or independent people.
This covers a coding tool or code-capability update — useful for developers assessing workflow changes and reusable value.
Motif-Technologies is one of the tech company participated South Korea's AI Foundation Model project.(독파모)
Upstage(Solar Series), LG AI Research(EXAONE Series), and SKT(A.X Series) are the competitors.
Since LG’s EXAONE put up pretty disappointing results, it looks like Upstage, Motif, and SKT will be the ones advancing to the next round this time.
If you reverse-calculate the AAII score from the table, it comes out to 47.364, which slightly edges out Qwen 3.7 Max.
With Upstage’s Solar Pro 4 expected to land in the mid 40s(250B -15B), based purely on the benchmarks, motif seems to be taking the lead in Round 2.
Benchmark Motif 3 314B-A13B MiniMax-3 428B-A23B GLM-5.1 744B-A40B Kimi-K2.6 1T-A32B Qwen-3.7 max DS-v4-Pro 1.6T-A49B Agentic GDPVal v2 38.7 44.4 37.8 34.4 39.0 40.2 τ²-Bench Telecom 94.7 88.9 97.7 95.9 94.7 96.2 τ³-Banking 35.3 15.3 13.6 23.3 12.0 30.1 ITBench* 51.5 — 40.3 31.2 42.5 38.3 Coding SWE-Bench Verified 76.2 75.0 76.4 76.2 80.4 77.4 Terminal-Bench 2.1 74.9 65.2 61.8 65.9 75.0 64.0 SciCode 40.6 45.4 43.8 53.5 53.5 50.0 Reasoning & Knowledge IMOAnswerBench 83.2 — 83.8 81.8 90.0 89.8 Apex-Shortlist 75.5 — 71.1 77.4 44.5 85.8 GPQA Diamond 83.4 92.9 86.8 91.1 92.4 88.8 HLE 37.0 39.0 30.1 37.5 41.4 37.5 CritPt 6.6 3.7 4.6 8.0 11.4 12.9 OmniScience — Accuracy 30.1 16.7 23.7 32.6 31.0 42.9 OmniScience — Non-Hallucination 71.6 81.6 70.1 59.5 74 5.9 Long Context & Instruction Following AA-LCR 72.3 80.3 68.0 76.7 75.0 70.0 IFBench 78.2 82.9 76.3 76.0 79.1 76.5