On the Arena text board with style control, in the latest version we checked, Gemini 4 Carbon (High) led with an Elo of 1526. Qwen3.8-Max sat 23rd, at 1484, with a range from 13 to 37, in the same statistical pack as dozens of models. On the same board, GLM-5.3 (Max) came in at 1483 under an MIT license, and Qwen3.8-27B, Apache 2.0, at 1433.
Two caveats complete that reading. None of the major rankings measures Brazilian Portuguese in a central way; the test that matters most, for my use, is with text and tasks from here. And the list price per million tokens does not close the bill. Qwen3.8-max, on Model Studio in Singapore, lists at US$2 for input and US$6 for output per million. In a one-off citation from Artificial Analysis, on Index v5, Qwen3.8 Max (0902) comes out at US$10.02 per task and takes 56.8 minutes, with 114 seconds to the first token in the 0902 setup. Source: Artificial Analysis (artificialanalysis.ai). That cost depends on the provider and the configuration they used; a low price per token, with a lot of reasoning, can still make the work expensive.
There is also the episode of an index that changes scale. In the Apsara release, Alibaba said Qwen3.8-Max had moved from 40 to 45 on Artificial Analysis. Qwen3.8 Max (0902) sat at 34 on the current Index (v5). Source: Artificial Analysis (artificialanalysis.ai). The change of Index version is enough to refuse any "Index" figure cited without the version next to it.