Qwen2.5 VL 72B Instruct

Qwen3.8 Max (0902)

qwen

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text, with a 1M-token context window and reasoning enabled by default. This snapshot is post-trained for coding and agentic work, including multi-step software projects, multi-tool orchestration, and long-horizon task execution. It also targets chart reasoning, document parsing, and multimodal understanding over long documents and extended video. Tool calling, structured outputs, and configurable reasoning effort are supported.

Context

1.0M

Max output

131.1K

Released

2026-09-03

Input

$2/M

Output

$6/M

Cache read

$0.25/M

Qwen3.8 2.4T A95B

qwen

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. It is suited for coding, research, complex reasoning, and agentic workflows.

Context

1.0M

Max output

909K

Released

2026-08-12

Input

$2/M

Output

$6/M

Cache read

$0.25/M

Qwen3.8 27B

qwen

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be enabled or disabled.

Context

1.0M

Max output

65.5K

Released

2026-08-14

Input

$0.039/M

Output

$1.25/M

Cache read

$0.0039/M