dax(@thdxr):there's few people betting on opensource models more than us but it's important to be realistic about where they are and the demand for them there's a big gap still. they are fulfilling an interesting spot in the market but too many people are acting like they're on the verge of killing frontier

2026.10.28 04:49

there's few people betting on opensource models more than us but it's important to be realistic about where they are and the demand for them there's a big gap still. they are fulfilling an interesting spot in the market but too many people are acting like they're on the verge of killing frontier

Artificial Analysis@ArtificialAnlys

2026.10.28 02:11

Open weights models fall further behind in v5. The leader, Kimi K3.1 Pro (weights not yet released), scores 46, 12 points behind the leader, compared with a 3-point gap in v4.3. Of models with released weights, DeepSeek V4.1 Flash 1017 (max) and GLM-5.3 (max) score highest at 32, and Claude Haiku 5.5 (max) outscores all of them. The gap is widest on HLE-Diamond and Terminal-Bench-Science, where Kimi K3.1 Pro scores 37% and 34%, compared with 68% for Claude Opus 5.5 (max) and 63% for GPT-6 Astra (max).