Textqwen3.8-flash
阿里巴巴 · Text

Qwen3.8-Flash is the latest multimodal model from the Qwen family, combining powerful reasoning and generation with remarkable speed. It natively supports a million-token context window, allowing it to process lengthy documents, entire codebases, and complex conversations in a single pass. It shines in coding assistance, agentic workflows, and visual understanding — whether it's fixing code autonomously, operating desktop applications, or analyzing charts and long videos. Fully compatible with both OpenAI and Anthropic API protocols, it integrates seamlessly with popular developer tools like Claude Code and Codex, making it easy to build high-concurrency applications and intelligent workflows. With strong performance and highly competitive inference costs, Qwen3.8-Flash is an ideal choice for developers and businesses seeking the best of both worlds in AI applications.

Overview

Modalities
Context length1M
Max output128K
ReleasedAug 27, 2026

Pricing

Availability

Service statusPast 24 hours

Parameters

Model / versionqwen3.8-flash
Input modalitiesText / Image / Video
Output modalitiesText
Sampling parameters—
Context length1M
Max output128K

Example request

curl "https://api.agtcloud.cn/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{"model":"qwen3.8-flash","messages":[{"role":"user","content":"Hello"}]}'

Available endpoints

EXPLORE MODELS

More Text

Compare capabilities, context and price across models of the same type.

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MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex, multi-step co-work automation, understanding real codebases, fixing bugs, and building features, and visual understanding and creation, including frontend and presentation creation. Open weights are planned.

MiniMax

MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex, multi-step co-work automation, understanding real codebases, fixing bugs, and building features, and visual understanding and creation, including frontend and presentation creation. Open weights are planned.

DeepSeek

Currently powered by DeepSeek-V4.1-Flash-1017, with native multimodal visual understanding and support for both thinking and non-thinking modes. Suitable for complex reasoning, coding, long-document analysis, visual understanding, and tool calling.

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