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Text & reasoningStable
Qwen

Qwen3.8 Max

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

Open provider docsSee key factsPricing & comparisons

Plain-English overview

What Qwen3.8 Max actually is

Qwen3.8 Max is the highest-capability general model in QwenCloud's current text-model guide. Its one-million-token context can hold large codebases, document collections, or long agent histories, while native vision and video input let one endpoint work across several kinds of source material.

It is available directly through QwenCloud and through gateways such as OpenRouter. Those routes can use different snapshots, prices, regional infrastructure, and data settings, so the provider name is part of the model decision rather than a minor billing detail.

Good fit for

  • Long coding and agent workflows
  • Large document or repository analysis
  • Multimodal reasoning with tool use

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
1M tokensMaximum combined prompt and working context documented by the provider.
Maximum output
Up to 131,072 tokens on OpenRouterProvider-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
$2 / 1M on OpenRouterCurrent standard list price per million input tokens unless noted.
Output price
$6 / 1M on OpenRouterCurrent standard list price per million output tokens unless noted.
Inputs
Text, image, videoMedia types accepted by the listed model endpoint.
Tools & agents
Tools, structured output, reasoning controlsSelected 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 Max

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 Max

QwenCloudQwen3.8 Max model guideOfficial QwenCloud capabilities, context, tools, and model-selection guidance.OpenRouterQwen3.8 Max on OpenRouterGateway pricing, route availability, context, and supported request features.

Availability

Regions and access stage

Available through QwenCloud and OpenRouter, including the dated QwenCloud snapshot released on September 2, 2026.

QwenCloud availability and processing location depend on the selected regional marketplace; OpenRouter can route across several providers.

Check live availability

Data and training

The route matters.

QwenCloud says it does not retain API inputs or outputs for training and processes them in memory; conversation storage can be disabled. OpenRouter and its underlying provider routes have separate settings and terms.

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 Max FAQ

What is Qwen3.8 Max?

Alibaba's frontier Qwen model for long-context reasoning, coding, tools, and understanding text, images, and video. Qwen3.8 Max is the highest-capability general model in QwenCloud's current text-model guide. Its one-million-token context can hold large codebases, document collections, or long agent histories, while native vision and video input let one endpoint work across several kinds of source material.

When was Qwen3.8 Max released?

Qwen3.8 Max was released on August 3, 2026 according to the cited provider materials.

Where can I access Qwen3.8 Max?

Available through QwenCloud and OpenRouter, including the dated QwenCloud snapshot released on September 2, 2026. The access routes listed in this guide are QwenCloud and OpenRouter.

How much does Qwen3.8 Max cost?

$2 input · $6 output / 1M tokens on OpenRouter. This is OpenRouter's listed route price on the verification date. QwenCloud marketplace pricing and long-context tiers can differ, so check the live route before budgeting.

Where is Qwen3.8 Max available?

Available through QwenCloud and OpenRouter, including the dated QwenCloud snapshot released on September 2, 2026. QwenCloud availability and processing location depend on the selected regional marketplace; OpenRouter can route across several providers.

Is my Qwen3.8 Max API data used for training?

QwenCloud says it does not retain API inputs or outputs for training and processes them in memory; conversation storage can be disabled. OpenRouter and its underlying provider routes have separate settings and terms. 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

Related comparisons

Head-to-head comparisons

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  1. Qwen3.8 Max 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.

    Open full comparison

  2. Qwen3.8 Max 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 Max 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 Max 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 Max 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 Max 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 Max 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 Max 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 Max 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 Max 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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  11. Qwen3.8 Max 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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  12. Qwen3.8 Max vs Kimi K3

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

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  13. Qwen3.8 Max 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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  14. Qwen3.8 Max vs Falcon-H1-34B-Instruct

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

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  15. Qwen3.8 Max 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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  16. Qwen3.8 Max 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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  17. Qwen3.8 Max 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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  18. Qwen3.8 Max 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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  19. Qwen3.8 Max vs Qwen3.8-Flash

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

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  20. Qwen3.8 Max 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 Max 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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