Qwen3.8 Max 0902

Qwen3.8 Max 0902 is Alibaba's September 2 checkpoint of its flagship Qwen3.8 Max model for coding, knowledge work, data analysis, and long-running agent workflows. It supports text, image, video, PDF input, selectable thinking, tool calling, structured output, and a near-million-token context window.

  • Reasoning
  • Vision
  • Video Input
  • Native PDF input
  • Tool Calling
  • Structured Output

Added Sep 2, 2026

Pricing

Auto routing · per 1M tokens
Input
$2.00
Output
$6.00
Cache read
$0.17
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Specifications

Context window
991.8K
Max output
131.1K
Avg output (7d)
3.2K tokens
Longer than 97% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

45.4

Better than 95% of models compared

Coding Index

76.2

Better than 93% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

56.2%

Better than 77% of models compared

AutomationBench-AA Tasks Completed

Fully completed workflows without guardrail violations

26.6%

Better than 40% of models compared

Harvey LAB-AA

Legal agentic work criterion pass rate

93.6%

Better than 95% of models compared

AA-Briefcase

Agentic knowledge work (Elo)

1621 Elo

Better than 93% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

1672 Elo

Better than 95% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

22.8%

Better than 78% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

80.3%

Better than 88% of models compared

MLCR-AA

Medical long-context reasoning

20.0%

Better than 68% of models compared

Reasoning

HLE

Humanity's Last Exam

43.1%

Better than 92% of models compared

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

38.9%

Better than 86% of models compared

SciCode

Python programming for scientific computing

52.1%

Better than 63% of models compared

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

92.8%

Better than 95% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

80.3%

Better than 88% of models compared

Last updated Oct 1, 2026

Artificial Analysis

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