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Qwen3.8 Max

qwen/qwen3.8-max
BackTry Model
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Qwen3.8 Max

qwen/qwen3.8-max
BackTry Model

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

Input Price (Auto)

$2.00/1M

Output Price (Auto)

$6.00/1M

Cache Read (Auto)

$0.20/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

45.4

Better than 97% of models compared

Coding Index

76.2

Better than 93% of models compared

Agentic Index

56.0

Better than 97% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

56.2%

Better than 84% of models compared

AutomationBench-AA Tasks Completed

Fully completed workflows without guardrail violations

26.6%

Better than 52% of models compared

AA-Briefcase

Agentic knowledge work (Elo)

1642 Elo

Better than 97% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

1668 Elo

Better than 97% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

22.8%

Better than 85% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

80.3%

Better than 90% of models compared

Reasoning

HLE

Humanity's Last Exam

43.1%

Better than 94% of models compared

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

38.9%

Better than 90% of models compared

SciCode

Python programming for scientific computing

52.1%

Better than 69% 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 90% of models compared

Last updated Sep 20, 2026

Artificial Analysis

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