Alibaba on September 2 released Qwen3.8-Max-0902, a post-training snapshot of its flagship Qwen3.8-Max model. The upgrade keeps the same architecture (2.4 trillion parameters, 100-million-token context length) and pricing ($2 per million input tokens, $6 per million output tokens), focusing on coding and long-horizon agent tasks. The model scored 1,691 on the front-end CodeArena, a 22-point gain that ranks first on the leaderboard. However, it still lags behind top-tier frontier models on benchmarks including TerminalBench, DeepSWE, and NL2Repo. The 0902 version leads in repository code understanding, automation benchmarks, and two visual reasoning tests. Alibaba previously open-sourced Qwen 3.8-27B, which can run on a laptop.
Alibaba Unveils Qwen3.8-Max-0902 with Coding Enhancements
Alibaba has released a new snapshot of its flagship model, Qwen3.8-Max-0902, on September 2, focusing on coding and long-horizon agent tasks. The upgrade was announced via TechNode and other outlets, positioning it as a "post-training" update that leaves the architecture and pricing unchanged.
The model retains 2.4 trillion parameters and a 100-million-token context length. Pricing stays at $2 per million input tokens and $6 per million output tokens. The improvements center on complex engineering project coding, multi-tool agent collaboration, and native visual understanding for chart reasoning and document parsing.
Alibaba reported that the model's front-end CodeArena score rose 22 points to 1,691, ranking first on that leaderboard. On other benchmarks, including TerminalBench, DeepSWE, and NL2Repo, the model still trails leading frontier models. The 0902 snapshot leads in repository code understanding, automation benchmarks, and two visual reasoning tests.
Chain News ABMedia previously noted that Alibaba has open-sourced Qwen 3.8-27B, which can run on a laptop.
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