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Every published item, in order · 306 items
Oct 29
Oct 28
Oct 27
ModelsBuildersMulti-sourceSelected06:23
Artificial Analysis launches Code2Video-AA video benchmark

The 300x spread in cost per task means the ranking alone is misleading: GPT-6.1 Sol delivers fourth place at 90% less cost than the leader, which changes which model is actually practical for batch video generation. Teams building automated marketing video pipelines can use the five-axis Elo breakdown to match models to their budget and quality needs, and the open-weights results give a concrete quality gap for self-hosting comparisons.

Event
Official accountArtificial Analysis@ArtificialAnlysSource
Oct 25
Oct 24
Oct 23
ModelsUS vs ChinaSelected06:51
AA-PersonalityBench links model slop to intelligence gaps

Slop output is only loosely tied to raw capability, so model selection for writing or content pipelines should weigh the Slop ranking separately from the Intelligence Index. Teams building customer-facing copy or summarisation tools can use these two scores as a joint filter instead of assuming a smarter model reads better. Qwen3.8 Max ranking high on both lists is a useful data point when weighing it against Gemini 4 Argon or GPT-6 variants.

Official accountArtificial Analysis@ArtificialAnlysSource
Oct 22
Oct 21
Oct 20
ModelsBuildersSelected23:05
Kaggle launches Human Behavior Bench for predicting human decisions

A 94.1% score above the human noise ceiling suggests behavioural-simulation systems like Engram 1.0 can outperform frontier LLMs at modelling subgroups, not just answer questions. Product and research teams building personalisation, market research or user modelling tools now have a public baseline to test against. The 601 private cases make leaderboard gaming harder, so results should hold up better than fully public benchmarks.

Kaggle@kaggleSource