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Text & reasoningStable
QwenQwen3.8 Max
Alibaba's frontier Qwen model for long-context reasoning, coding, tools, and understanding text, images, and video.
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)
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
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 availabilityData 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 policyFrequently 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.
- Mistral Small 4$0.15
Mistral AI
- Gemini 3.8 Flash$0.75
Google
- GPT-5.6 Sol$4.00
OpenAI
- GPT-6 Astra$10.00
OpenAI
- Claude Fable 5.1$10.00
Anthropic
- Mistral Small 4$0.60
Mistral AI
- Gemini 3.8 Flash$3.75
Google
- GPT-5.6 Sol$20.00
OpenAI
- GPT-6 Astra$50.00
OpenAI
- Claude Fable 5.1$50.00
Anthropic
Related comparisons
Head-to-head comparisons
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 comparisonQwen3.8 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.
Open full comparisonQwen3.8 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.
Open full comparisonQwen3.8 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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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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Mistral's open-weight frontier model for demanding multimodal, coding, reasoning, and agent workflows, with a 256K context window.
Open full comparisonQwen3.8 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.
Open full comparisonQwen3.8 Max vs MiniMax M3
MiniMax's million-token multimodal model for coding, agents, computer use, and long projects at a low direct API price.
Open full comparisonQwen3.8 Max vs GLM-5.3
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Open full comparisonQwen3.8 Max vs Falcon-H1R-7B
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Celeris' agent-focused diffusion language model for fast reasoning, tool loops, structured actions, and OpenAI-compatible integration.
Open full comparisonQwen3.8 Max vs NVIDIA Nemotron 3 Ultra
NVIDIA's largest Nemotron 3 reasoning model for complex agents, coding, planning, tools, RAG, and million-token analysis.
Open full comparisonQwen3.8 Max vs NVIDIA Nemotron 3.5 Lightning
NVIDIA's compact 30B mixture-of-experts model for efficient specialist agents and high-volume text workflows.
Open full comparisonQwen3.8 Max vs Qwen3.8-Flash
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Open full comparisonQwen3.8 Max vs DeepSeek-V4-Pro
DeepSeek's flagship million-context text model for difficult reasoning, coding, long-running agents, tools, and very large outputs.
Open full comparisonQwen3.8 Max vs DeepSeek-V4-Flash
DeepSeek's lower-cost V4 model for high-volume reasoning, coding, agents, and million-token text workloads.
Open full comparison
