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Qwen

Qwen3.8-Flash

Alibaba's efficient million-context multimodal model for fast agents, coding, document work, vision, video understanding, and tool use.

Open provider docsSee key factsPricing & comparisons

Plain-English overview

What Qwen3.8-Flash actually is

Qwen3.8-Flash is the lower-cost, latency-oriented member of the Qwen3.8 family. It accepts text, images, and video, can work across a very large context, and supports common production features such as function calls, web search, and structured output.

The hosted Model Studio route is regional, so endpoint choice affects availability and data governance. The advertised price is attractive for large workloads, but long prompts and long outputs can still dominate total task cost; measure full agent loops rather than a single token rate.

Good fit for

  • Cost-sensitive multimodal agents
  • Long-context document and code workflows
  • High-volume tool use through Alibaba Cloud

Category comparison

The facts that matter for text models

These are provider-published specifications, not Cody benchmark scores. Follow the linked sources for current limits and endpoint-specific exceptions.

Context window
Up to 1M tokens through Model StudioMaximum combined prompt and working context documented by the provider.
Maximum output
Up to 131,072 tokensProvider-published response limit, where available.
Knowledge cutoff
Not publishedLatest reliable knowledge date explicitly published by the model provider. Search and connected tools can retrieve newer information but do not change the model's built-in cutoff.
Input price
$0.113 / 1M tokensCurrent standard list price per million input tokens unless noted.
Output price
$0.382 / 1M tokensCurrent standard list price per million output tokens unless noted.
Inputs
Text, image, videoMedia types accepted by the listed model endpoint.
Tools & agents
Function calling, web search, structured output, toolsSelected native tools and agent-building capabilities, not an exhaustive list.

Pricing & comparisons

Estimate your cost

Set your usage. Your estimate updates as you type.

Example: 6,000 input tokens for 10 pages, plus a 500-token summary. Page lengths vary; adjust the numbers below.

One run sends your input to the model once and receives an answer. Tokens are pieces of text: input is what you send, output is the answer you receive.

Advanced options

Qwen3.8-Flash

Qwen

Estimated total (USD)

No reviewed rate

For the usage above · USD · API pricing, not a subscription

How this estimate works

Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.

API and provider access

Where to get Qwen3.8-Flash

Alibaba Cloud Model StudioQwen3.8-Flash documentationOfficial context, output, price, regions, modalities, tools, and model ID.Alibaba CloudQwen3.8-Flash launchOfficial architecture, efficiency, and release overview.

Availability

Regions and access stage

Available through Alibaba Cloud Model Studio using the qwen3.8-flash model ID.

Alibaba documents availability across selected China, Asia-Pacific, Europe, Japan, and US regions; the exact model endpoint depends on the Model Studio workspace.

Check live availability

Data and training

The route matters.

Alibaba's public model page should be read together with the selected Model Studio region and account terms. Do not assume another Qwen gateway's retention or training setting applies to the Alibaba Cloud route.

This is a concise reading of the cited provider material, not legal advice. A third-party gateway can have different storage, routing, training, and residency terms from the model maker's direct API.

Read the provider policy

Frequently asked questions

Qwen3.8-Flash FAQ

What is Qwen3.8-Flash?

Alibaba's efficient million-context multimodal model for fast agents, coding, document work, vision, video understanding, and tool use. Qwen3.8-Flash is the lower-cost, latency-oriented member of the Qwen3.8 family. It accepts text, images, and video, can work across a very large context, and supports common production features such as function calls, web search, and structured output.

When was Qwen3.8-Flash released?

Qwen3.8-Flash was released on August 27, 2026 according to the cited provider materials.

Where can I access Qwen3.8-Flash?

Available through Alibaba Cloud Model Studio using the qwen3.8-flash model ID. The access routes listed in this guide are Alibaba Cloud Model Studio and Alibaba Cloud.

How much does Qwen3.8-Flash cost?

$0.113 input · $0.382 output / 1M tokens. This is Alibaba Cloud Model Studio's listed standard rate on the verification date. Regional endpoints and long-context tiers can differ.

Where is Qwen3.8-Flash available?

Available through Alibaba Cloud Model Studio using the qwen3.8-flash model ID. Alibaba documents availability across selected China, Asia-Pacific, Europe, Japan, and US regions; the exact model endpoint depends on the Model Studio workspace.

Is my Qwen3.8-Flash API data used for training?

Alibaba's public model page should be read together with the selected Model Studio region and account terms. Do not assume another Qwen gateway's retention or training setting applies to the Alibaba Cloud route. The policy belongs to the provider route and account terms, so verify it again before production use.

Price comparison

USD per million tokens for the shown API routes at standard context length. Cache and long-context rates may differ. Models without matching reviewed prices are omitted; lower cost does not mean better quality.

Input token costsper 1M tokens · USD
  1. $0.15
    Mistral Small 4

    Mistral AI

  2. $0.75
    Gemini 3.8 Flash

    Google

  3. $4.00
    GPT-5.6 Sol

    OpenAI

  4. $10.00
    GPT-6 Astra

    OpenAI

  5. $10.00
    Claude Fable 5.1

    Anthropic

Output token costsper 1M tokens · USD
  1. $0.60
    Mistral Small 4

    Mistral AI

  2. $3.75
    Gemini 3.8 Flash

    Google

  3. $20.00
    GPT-5.6 Sol

    OpenAI

  4. $50.00
    GPT-6 Astra

    OpenAI

  5. $50.00
    Claude Fable 5.1

    Anthropic

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Head-to-head comparisons

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  1. Qwen3.8-Flash vs GPT-6 Astra

    OpenAI's most capable model for difficult end-to-end work, combining frontier reasoning with a million-token context window and a broad set of agent tools.

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  2. Qwen3.8-Flash vs GPT-5.6 Sol

    OpenAI's flagship general model for difficult coding, analysis, and professional work, with a very large context window and a broad native tool set.

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  3. Qwen3.8-Flash vs Claude Fable 5.1

    Anthropic's frontier model for ambitious, long-running agentic and coding work, with strong vision and enterprise marketplace availability.

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  4. Qwen3.8-Flash vs Gemini 3.8 Flash

    Google's stable, high-efficiency multimodal model for agents, software work, and large mixed-media inputs at an introductory Flash-tier price.

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  5. Qwen3.8-Flash vs Grok 4.6

    SpaceXAI's frontier text-and-image model for coding, agentic tasks, and knowledge work, with direct web, X, and code tools.

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  6. Qwen3.8-Flash vs Grok 4.20 Multi-Agent Beta

    A specialist Grok model that sends several AI agents to investigate a difficult question in parallel, then combines their work into one researched answer.

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  7. Qwen3.8-Flash vs Inkling

    Thinking Machines Lab's large open-weights model for customizable reasoning, coding, tools, vision, and audio workflows.

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  8. Qwen3.8-Flash vs Mistral Medium 3.5

    Mistral's open-weight frontier model for demanding multimodal, coding, reasoning, and agent workflows, with a 256K context window.

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  9. Qwen3.8-Flash vs Mistral Small 4

    Mistral's lower-cost open model that combines normal instruction following, reasoning, coding, vision, and agent tools in one endpoint.

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  10. Qwen3.8-Flash vs Qwen3.8 Max

    Alibaba's frontier Qwen model for long-context reasoning, coding, tools, and understanding text, images, and video.

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  11. Qwen3.8-Flash vs MiniMax M3

    MiniMax's million-token multimodal model for coding, agents, computer use, and long projects at a low direct API price.

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  12. Qwen3.8-Flash vs GLM-5.3

    Z.ai's open-weight long-context reasoning model for coding, tools, and agentic work across self-hosted and managed routes.

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  13. Qwen3.8-Flash vs Kimi K3

    Moonshot AI's frontier multimodal model for million-token coding, reasoning, knowledge work, and tool-driven agents.

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  14. Qwen3.8-Flash vs Falcon-H1R-7B

    TII's compact open reasoning model for text tasks, long contexts, and self-hosted function-calling workflows.

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  15. Qwen3.8-Flash vs Falcon-H1-34B-Instruct

    TII's 34B open instruction model for multilingual text, coding, and controlled self-hosted applications.

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  16. Qwen3.8-Flash vs Muse Spark 1.3

    Meta's latest multimodal reasoning model for long-running agents, coding, tools, and complex user collaboration.

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  17. Qwen3.8-Flash vs Celeris-1 Magnus

    Celeris' agent-focused diffusion language model for fast reasoning, tool loops, structured actions, and OpenAI-compatible integration.

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  18. Qwen3.8-Flash vs NVIDIA Nemotron 3 Ultra

    NVIDIA's largest Nemotron 3 reasoning model for complex agents, coding, planning, tools, RAG, and million-token analysis.

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  19. Qwen3.8-Flash vs NVIDIA Nemotron 3.5 Lightning

    NVIDIA's compact 30B mixture-of-experts model for efficient specialist agents and high-volume text workflows.

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  20. Qwen3.8-Flash vs DeepSeek-V4-Pro

    DeepSeek's flagship million-context text model for difficult reasoning, coding, long-running agents, tools, and very large outputs.

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  21. Qwen3.8-Flash vs DeepSeek-V4-Flash

    DeepSeek's lower-cost V4 model for high-volume reasoning, coding, agents, and million-token text workloads.

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