Qwen3.8 Max is Qwen's 2.4T-parameter flagship model for coding, knowledge work, full-stack development, data analysis, and long-running agent workflows in non-thinking mode. It supports text, image, video, PDF input, tool calling, structured output, and a near-million-token context window.
Added Aug 3, 2026
Context Window
991.0K
Max Output
65.5K
Avg output tokens (7d)
708 tokens
Input Price (Auto)
$2.00/1M
Output Price (Auto)
$6.00/1M
Cache Read (Auto)
$0.20/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
45.4
Coding Index
76.2
Agentic Index
56.0
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 94% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1671 Elo
Better than 95% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
22.8%
Better than 79% 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 64% 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 2, 2026
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