Qwen3.8 Max Thinking
Qwen3.8 Max Thinking enables generation-time reasoning for deeper coding, knowledge work, data analysis, and long-running agent workflows. It supports text, image, video, PDF input, tool calling, structured output, and a near-million-token context window.
- Reasoning
- Vision
- Video Input
- Native PDF input
- Tool Calling
- Structured Output
Added Aug 3, 2026
Pricing
Auto routing · per 1M tokens- Input
- $2.00
- Output
- $6.00
- Cache read
- $0.20
Specifications
- Context window
- 991K
- Max output
- 131.1K
- Avg output (7d)
- 3K tokens
- Longer than 96% of models
Benchmarks
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 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
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