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Qwen3.8 Max vs Qwen3.8 Omni Flash

Compare Qwen3.8 Max from Qwen and Qwen3.8 Omni Flash from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

QwenQwen3.8 MaxQwenQwen3.8 Omni Flash
Qwen logo
Qwen3.8 Max
Qwen · text, image, video → text

Qwen3.8-Max is Alibaba Cloud Tongyi Qianwen's next-generation flagship large language model, featuring a mixture-of-experts (MoE) architecture with 2.4 trillion parameters. It achieves another breakthrough in encoding depth, enabling it to handle more complex engineering-grade projects and long-term autonomous development; collaborative agent capabilities are significantly enhanced, performing more confidently in multi-tool orchestration and end-to-end delivery; visual understanding is comprehensively improved, with more sensitive and accurate chart reasoning, document parsing, and multimodal perception. Continuing the 1-million-context window, reasoning modes, and a complete tool ecosystem, it continues to evolve at a higher level of intelligence.

Input$1.69 /M
Output$5.07 /M
Cache read$0.169 /M
Qwen logo
Qwen3.8 Omni Flash
Qwen · text, image, audio, video → text

Qwen3.8 Omni Flash is Alibaba Cloud Qwen's next-generation native multimodal model, supporting 1M-length sequences and able to directly accept text, images, audio, and video as input. It is based on the Qwen3.8-Flash-Next architecture. The model is designed for agent capabilities in real productivity scenarios: while offering agentic abilities such as programming, text knowledge work, and GUI operation, it also achieves significant results in audio/video-centered agentic applications—such as video editing, music video creation, film production and narration, audio/video-to-text-and-image summarization, and audio/video dialogue—that require integrated processing of text, images, audio, and video. It supports 2-channel and 4-channel spatial audio parsing, is compatible with DashScope and OpenAI protocols, and it is recommended to install the accompanying Qwen-MM-Plugins to facilitate agent frameworks' access to native multimodal capabilities.

Input$0.1126 /M
Output$0.38 /M
Cache read$0.0141 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Qwen3.8 Max
Qwen3.8 Omni Flash
Input /M
$1.69
$0.1126
Output /M
$5.07
$0.38
Cache read /M
$0.169
$0.0141
Context length
1,000,000
1,000,000
Max output
131,072
131,072
Time to First Token
12.5 s
35.9 s
Throughput
28.4 tok/s
22.9 tok/s
Modalities
textimagevideo
textimageaudiovideo
Supported Parameters
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
August 3, 2026
August 26, 2026

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

qwen3.8-maxqwen3.8-omni-flash

Tokens / day

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Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

qwen3.8-maxqwen3.8-omni-flash

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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Cost calculator

Estimate your monthly bill for the same workload on each model.

Qwen3.8 Omni Flash
$12.46 /mo
Qwen3.8 Max
$177 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: Qwen3.8 Max, Qwen3.8 Omni Flash?

Qwen3.8 Omni Flash: $0.38/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

Qwen3.8 Max: 12.5s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

Qwen3.8 Max accepts 1,000,000 and Qwen3.8 Omni Flash accepts 1,000,000 input tokens. Maximum output per request is 131,072 tokens on Qwen3.8 Max and 131,072 tokens on Qwen3.8 Omni Flash.

Which one generates tokens faster?

Qwen3.8 Max at 28.4 tok/s and Qwen3.8 Omni Flash at 22.9 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

Qwen3.8 Max accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking; Qwen3.8 Omni Flash accepts text, image, audio and video input.

Can I call Qwen3.8 Max and Qwen3.8 Omni Flash with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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