Analysis Summary
Qwen3.8 Max is Qwen's flagship multimodal model, with an intelligence index of 58.1, coding index of 71.8, and agentic index of 58.4. It supports text, images, and video, plus tool use and function calling, while its 1M token context window is suited to large codebases, extensive research files, and long client documents.
This combination makes it a strong candidate for autonomous agents, software engineering, research-heavy SEO, multimodal content operations, and high-stakes analysis. The model has the breadth to consolidate several specialist tasks into one workflow, while its agentic performance supports more involved tool chains. Pricing of $2 input and $6 output per million tokens places it above budget models, so routine bulk generation should be routed elsewhere.
Assessed August 9, 2026
Editorial notes
Qwen3.8 Max combines frontier reasoning and coding with leading agentic capability, a 1M token context window, vision, video understanding, and tool use. Its pricing is premium but appropriate for complex client workflows requiring depth and breadth.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3.8 Max combines frontier reasoning and coding with leading agentic capability, a 1M token context window, vision, video understanding, and tool use. Its pricing is premium but appropriate for complex client workflows requiring depth and breadth.
How Qwen: Qwen3.8 Max compares
Qwen: Qwen3.8 Max ranks #6 of 420 AI models we track for overall intelligence, #15 of 193 for coding, #6 of 175 for agentic tasks. Its 1M-token context window is larger than 86% of the models we list. At $2.00 per million input tokens it is cheaper than 18% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on content. The pulled-in value corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $6.00 | $0.006000 |
What would Qwen: Qwen3.8 Max cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3.8 Max for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3.8 Max
Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max Preview. It is a multimodal reasoning model intended for complex reasoning, visual understanding,..
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<a href="https://designforonline.com/ai-models/qwen-qwen3-8-max/"><img src="https://designforonline.com/?aiml_badge=qwen-qwen3-8-max&theme=dark" alt="Qwen: Qwen3.8 Max, ranked #2 on the Design for Online AI Leaderboard" width="400" height="76"></a>
<a href="https://designforonline.com/ai-models/qwen-qwen3-8-max/"><img src="https://designforonline.com/?aiml_badge=qwen-qwen3-8-max&theme=light" alt="Qwen: Qwen3.8 Max, ranked #2 on the Design for Online AI Leaderboard" width="400" height="76"></a>
Frequently asked questions about Qwen: Qwen3.8 Max
How much does Qwen: Qwen3.8 Max cost?
Qwen: Qwen3.8 Max costs $2.00 per million input tokens and $6.00 per million output tokens.
What is the context window of Qwen: Qwen3.8 Max?
Qwen: Qwen3.8 Max has a context window of 1,000,000 tokens (1M).
Is Qwen: Qwen3.8 Max good for coding?
On our coding benchmark index, Qwen: Qwen3.8 Max ranks #15 of 193 models, placing it in the top quartile of the field for code generation and debugging.
What can Qwen: Qwen3.8 Max do?
Qwen: Qwen3.8 Max supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3.8 Max?
Qwen: Qwen3.8 Max is developed by Qwen and was released on August 3, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 10, 2026 8:38 pm