Latest

Every published item, in order · 215 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 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
Oct 19
Oct 18
Oct 17
ModelsUS vs ChinaMulti-sourceSelected19:04
DeepSeek-V4.1-Flash-1017 replaces Gemini 4.1 Flash on RSS site

A real-world swap test between DeepSeek's latest flash model and Google's 4.1 Flash on a production translation pipeline, with thinking intensity set to High as the variable. Developers running cheap bulk-translation or summarisation workloads can copy this setup to benchmark latency, output length and quality on their own content. Those already using DeepSeek Harness should update to v0.2.1-rc.1 before adopting the new model.

Event
向阳乔木@vista8Source
Oct 16
Oct 15
ModelsUS vs ChinaMulti-sourceSelected19:29
Gemini 4 Argon scores 165 on Epoch Capabilities Index

The gap between Google and the ECI frontier has narrowed to 2 points, putting Gemini back in competitive range after months of lag. Teams choosing models for hard reasoning or agentic workloads now have a four-way race to benchmark on their own tasks rather than defaulting to a single leader. Comparable scores across Opus 5.5, GPT-6 Astra and Argon suggest provider switching costs are lower than vendor benchmarks imply.

Event
Official accountEpoch AI@EpochAIResearchSource