Alibaba's Qwen3.8-Max update more than doubles a coding benchmark score

Alibaba re-trained its flagship Qwen3.8-Max model in place on September 1, keeping the same 2.4 trillion parameter base and $2/$6 price. The update more than doubles the TerminalBench 3.0 score, from 11.3 to 29.0, the largest jump among eight published coding benchmarks.

DeepSWE 1.1 rose from 56.6 to 69.3. QwenSWEbench V2 climbed from 55.1 to 70.0, and JobBench went from 53.4 to 64.0, per CellCog's breakdown. Multimodal scores barely moved, up 0.4 to 3 points depending on the test.

The number getting the most attention is Code Arena's WebDev leaderboard, where the model's score rose from 1,669 to 1,691. That's nominally first place, and the first time a Chinese model has out-scored Claude on that board, according to TechNode's report.

The top comment on r/ClaudeAI pushes back on that number. Code Arena's WebDev test leans heavily on one-shot UI and SVG generation, a narrow slice of what coding involves. Alibaba's own published comparison table backs that up. Claude Opus 5 still leads on most of the coding benchmarks in the set.

There's a second gap for anyone trying to run this locally. Alibaba hasn't said whether the -0902 snapshot maps to an open-weight checkpoint. Self-hosters have no way to confirm they'd be running the same model that produced these scores. For a lab competing partly on openness, that mapping is worth watching for in the next release notes.