I think an under appreciated reality is that all of the large AI labs and OpenAI in particular are fighting multiple market battles at once. This is coming across in both the number of products and the packaging.

1, to win consumer growth they have continued to benefit on hyper viral moments, lately that was was image generation in 4o, which likely was technically possible a long time before launched. 2, for enterprise workloads and large API use, they seem to have focused less lately but the pricing of 4.1 is clearly an answer to Gemini which has been winning on ultra high volume and consistency. 3, for full frontier benchmarks they pushed out 4.5 to stay SOTA and attract the best researchers. 4, on top of all they they had to, and did, quickly answer the reasoning promise and DeepSeek threat with faster and cheaper o models.

They are still winning many of these battles but history highlights how hard multi front warfare is, at least for teams of humans.

On that note, I want to see benchmarks for which LLM's are best at translating between languages. To me, it's an entire product category.

I agree. 4.1 seems to be a release that addresses shortcomings of 4o in coding compared to Claude 3.7 and Gemini 2.0 and 2.5