Skip to content
Modelreleased on 3 August 2026

Qwen3.8 Max

Alibaba · family Qwen Max
29thout of 71General intelligence, ECI index 157.4 (155.3 to 159.7)
Agent tasks16th out of 5263.3% completed
Coding tasksnot measuredCursorBench
Electricity use of a tasknot estimatedmodel size unknown

Lineage

Company
Alibaba
Qwen Max family
Qwen3.6 Max PreviewQwen3.7 MaxQwen3.8 MaxQwen3.8 Max 0902the family
Assistants that offer it
Qwenselectable, unspecified (press ↗)
API price
not recorded

Links read on 10/11/2026 on company pages, the press as a fallback; a link given for a family applies only to its latest version.

Rank in each benchmark

  • General intelligenceEpoch AI, ECI index157.4155.3 to 159.729th out of 71
  • User preferenceLMArena, Elo score148419th out of 68
  • Agent tasksEpoch AI, APEX-Agents63.3 %53.7 to 72.916th out of 52
  • Code repairEpoch AI, DeepSWE57.5 %15th out of 26
  • Coding tasksEpoch AI, CursorBenchnot measured

Each segment of the bar is worth a tenth of the ranking; the 1st groups the best ranked. Rank among models released in 2026 and measured by the benchmark. Sources: Epoch AI, "Capabilities & benchmarking" (CC BY 4.0); LMArena, text with style control (CC BY 4.0); data as of 10 November 2026.

Effort settings

SettingElectricity use of a taskTasks completedTokens per task
DeepSWE, code repair
xhighnot estimated57.5 %95,075
Estimation methodology

The effort setting says how much the model reasons before answering: the higher it is, the more tokens it writes, and the more electricity the task needs. Tokens per task are measured by Epoch AI.

Electricity: Projet Celsius estimate. Tokens of the task × electricity ofwriting 1,000 tokens for the size of the model (AI Impact Database, IA-0011), × the data centre overhead (PUE). The scope covers computing on the servers and cooling; it does not cover chip manufacturing, training, the network or the device. CursorBench counts tokens read and written together: the range runs from "all read" to "all written". DeepSWE counts tokens written: the range starts from writing alone.

Model size unknown: electricity use is not estimated. Benchmark: a quick question to an assistant needs about 0.3 Wh.

Qwen3.8 Max among Alibaba's models, general intelligence

Epoch AI ECI index and its 95% interval, by release date; 9 Alibaba models released in 2026 and measured by the ECI index

FebMarAprMayJunJulAugSep140150160General intelligence index (ECI)Qwen3.8 MaxQwen3.8 Max 0902Qwen3.7 MaxQwen3.8 27BQwen3.5 397B A17BQwen3.7 PlusQwen3.6 27BQwen3.5 35B A3BQwen3.5 9B

Dot: the index measured, at the release dateLine: the 95% intervalQwen3.8 Max

Source: Epoch AI, "Capabilities & benchmarking", ECI index. CC BY 4.0 licence.

AI Impact, by Projet Celsius

Continue in the ranking

The full ranking →

The hub newsletter

This month's ranking, news on the impact of AI and one figure from the AI Impact Database. One newsletter a month at most, free of charge. Past issues

Projet Celsius, environmental strategy consultancy

We support companies that account for AI in their Bilan Carbone®

Visiter Projet Celsius ↗