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Qwen 3.8 Max Prime

Designed as a high-speed edition of Alibaba's Qwen 3.8 Max flagship, Qwen 3.8 Max Prime retains the underlying 2.4-trillion-parameter Mixture-of-Experts architecture of its parent while emphasizing greater output throughput for production workloads. The MoE design reportedly keeps a comparable active-parameter footprint per token, allowing the model to handle very large contexts while sustaining the responsiveness that coding, office automation, and long-running agent workflows demand. Its multimodal intake of text, images, and video, combined with the very wide context window, positions it as a flexible front-end model for diverse enterprise pipelines rather than a narrow specialist.</paragraph-position>FIRST

In practical terms, the Prime variant is intended for teams that need consistent throughput on sustained tasks such as repository-scale code generation, multi-step automation, and research or document workflows that rely on tool use and structured output. By prioritizing speed without sacrificing the broader capabilities of the Qwen 3.8 Max family, it offers a practical balance for deployments where latency and cost-per-token economics matter as much as raw reasoning quality. Developers integrating it for agentic applications benefit from the same architectural lineage that defines the wider Qwen 3.8 generation, including its hybrid attention design, while gaining a tier tuned for high-volume, production-grade serving.</paragraph-position>SECOND

OpenRouterqwen/qwen3.8-max-primeqwen3.8-max

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Provider
OpenRouter
Model key
qwen/qwen3.8-max-prime
Release date
Sep 23, 2026
Last updated
Sep 23, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$4.00
Output token cost
$12.00

Limits

Output tokens
131,072 tokens
Context window
1,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Qwen 3.8 Max Prime

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CoverageBenchmark

Alibaba has launched Qwen3.8-Max, its largest AI model to date, with approximately 2.4 trillion total parameters and a Mixture-of-Experts (MoE) architecture that activates roughly 95 billion parameters per token, keeping inference costs lower than a comparable dense model while delivering frontier-level capabilities. A The article also urges caution on headline benchmarks, noting that parameter counts alone do not determine real-world quality and that Qwen3.8-Max's strong showing on crowded leaderboards should be weighed against independent evaluation. It situates the launch in a broader competitive context, mentioning that OpenAI ha

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Coverage

Voice of Emirates reports that Alibaba unveiled Qwen3.8-Max, its most powerful and largest AI model to date, with approximately 2.4 trillion parameters, positioning it as a direct response to Moonshot AI's Kimi K3, which carries 2.8 trillion parameters. On the Arena.AI crowdsourced modeling platform, Qwen3.8-Max ranked The article further explains that Qwen3.8-Max uses a Mixture-of-Experts architecture that distributes workloads across specialized components rather than running the entire network for each request, a design choice tied to operational efficiency and advanced technical construction. It frames the launch within the inten

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