Nano GPT logo
NanoGPT
Browse all Qwen text models
Provider logo

Qwen3.8 Max 0902

qwen/qwen3.8-max-0902
Back
Provider logo

Qwen3.8 Max 0902

qwen/qwen3.8-max-0902
Back

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.

Added Sep 2, 2026

Context Window

991.8K

Max Output

131.1K

Input Price (Auto)

$2.00/1M

Output Price (Auto)

$6.00/1M

Cache Read (Auto)

$0.17/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

45.4

Better than 96% 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 81% of models compared

AutomationBench-AA Tasks Completed

Fully completed workflows without guardrail violations

26.6%

Better than 48% of models compared

Harvey LAB-AA

Legal agentic work criterion pass rate

93.6%

Better than 94% of models compared

AA-Briefcase

Agentic knowledge work (Elo)

1640 Elo

Better than 94% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

1668 Elo

Better than 95% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

22.8%

Better than 82% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

80.3%

Better than 89% of models compared

MLCR-AA

Medical long-context reasoning

20.0%

Better than 69% of models compared

Reasoning

HLE

Humanity's Last Exam

43.1%

Better than 93% of models compared

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

38.9%

Better than 88% of models compared

SciCode

Python programming for scientific computing

52.1%

Better than 66% 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 89% of models compared

Last updated Sep 22, 2026

Artificial Analysis

Providers

Choose explicit providers for this model. Auto routing remains available as the default option.

Loading provider options…

Compare Qwen3.8 Max 0902 with similar models from the same provider or model family.

Qwen3.8 Omni Flash

qwen/qwen3.8-omni-flash

Qwen3.8 Omni Flash is a fast omni-modal reasoning model for understanding text, images, audio, and video. It is especially suited to meeting summaries, transcripts and subtitles, speaker-aware audiovisual analysis, and long-form content review. It returns text and supports a nearly one-million-token context window, tool calling, and structured output.

Qwen3.8 Flash

qwen/qwen3.8-flash

Qwen3.8 Flash is Alibaba's latest fast multimodal model, with a million-token context window for coding, agentic workflows, visual understanding, long documents, codebases, and videos.

Qwen3.6 27B

qwen/qwen3.6-27b

Qwen3.6 27B is a native vision-language dense model with stronger agentic coding and STEM reasoning than Qwen 3.5 27B. It also improves spatial intelligence (including object localization/detection), plus video understanding, document OCR, and visual-agent workflows.

Qwen3.6 27B Thinking

qwen/qwen3.6-27b:thinking

Qwen3.6 27B is a native vision-language dense model with stronger agentic coding and STEM reasoning than Qwen 3.5 27B. It also improves spatial intelligence (including object localization/detection), plus video understanding, document OCR, and visual-agent workflows.

Qwen3.6 Flash

qwen/qwen3.6-flash

Qwen3.6 Flash is Alibaba's fast native vision-language model in the Qwen 3.6 family. It improves over 3.5 Flash with stronger coding/agent performance and better spatial intelligence, including object localization and detection.

Qwen3.8 Max

qwen/qwen3.8-max

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.