Qwen 3.8 Max
Qwen 3.8 Max is Alibaba's flagship-tier model in the Qwen 3.8 family, accepting text, image, and video input with a 1M-token context window and tool calling support.
API Pricing
Cheapest on Deep Infra — 13% below avg| Provider | Input / 1M | Output / 1M | Cached / 1M |
|---|---|---|---|
| $1.65 | $4.95 | $0.206 | |
| $1.65 | $4.95 | $0.206 | |
| $1.90 | $5.70 | - | |
| $2.00 | $6.00 | $0.200 | |
| $2.00 | $6.00 | - | |
| $2.00 | $6.00 | $0.250 | |
| $2.00 | $6.00 | $0.250 |
Prices updated daily. Last check: Sep 24, 2026
Qwen 3.8 Max pricing by provider
Input, output, and batch rates, plus alternatives, for one provider at a time.
Performance & Benchmarks
Source: Artificial Analysis →Reasoning & Knowledge
- GPQA Diamond92.8%
- Humanity's Last Exam43.1%
Coding
- SciCode52.1%
Agentic & Tool Use
- Terminal-Bench v2.188.8%
- τ-bench Banking47.8%
Instruction & Long Context
- Long-Context Reasoning80.3%
Benchmarks measured Sep 2026. Scores are independent evaluations, not vendor-reported.
Model Details
General
- Creator
- Alibaba
- Family
- Qwen 3.8
- Tier
- Flagship
- Context Window
- 1.0M
- Modalities
- Text, Image, Video
Capabilities
- Tool Calling
- Yes
- Open Source
- No
- Aliases
- qwen3-8-max, qwen/qwen3.8-max, qwen3.8-max, Qwen3.8-Max
Strengths & Limitations
Strengths
- 1,000,000-token context window, enough for entire codebases, long document sets, or large transcript archives in a single prompt
- Accepts image input in addition to text, allowing visual documents, screenshots, and charts to be reasoned over directly
- Accepts video input, which is less common than image support among API-served models
- Tool calling support enables use in function-calling and agentic pipelines
- Flagship tier of the Qwen 3.8 family, so it is the capability target within that generation rather than a distilled or cost-reduced variant
- Exposed under multiple provider aliases (qwen3-8-max, qwen/qwen3.8-max, Qwen3.8-Max), making it straightforward to switch hosts
- Independently benchmarked throughput and latency figures available from Artificial Analysis for capacity planning
Limitations
- Measured output speed of roughly 47 tokens per second is modest, which is noticeable in streaming chat or interactive coding sessions
- Time to first token around 1.8 seconds adds perceptible lag for latency-sensitive interfaces
- Flagship-tier pricing generally makes it a poor fit for high-volume, low-complexity traffic that a smaller Qwen model could handle
- Filling anywhere near the 1M-token window is expensive and increases latency, so the full context is rarely practical for routine requests
- We do not track detailed public benchmark scores for reasoning, coding, or math for this model, so capability comparisons against peers must rely on your own evaluations
Key Features
About Qwen 3.8 Max
Common Use Cases
Qwen 3.8 Max is aimed at workloads where context size or input modality is the binding constraint. Typical fits include whole-repository code analysis and refactoring plans, review of long legal or financial document bundles, multi-document research synthesis, and question answering over large transcript or log collections. The image and video inputs extend this to visual workloads — describing or indexing video content, extracting data from scanned or screenshotted material, and answering questions that mix visual and textual evidence. Tool calling makes it viable as the planning model in an agent stack that queries databases or external APIs. Given its flagship-tier cost profile and mid-range generation speed, it is most economical in an architecture where a cheaper Qwen model handles routine classification, extraction, and short-form chat, and Qwen 3.8 Max is reserved for the long-context or multimodal requests that smaller models cannot serve.
Frequently Asked Questions
How much does Qwen 3.8 Max cost?
Pricing varies by provider and by pricing model — input and output tokens are usually billed at different rates, and some hosts apply separate rates for image or video input or for very long contexts. Check the pricing table on this page for current per-provider rates.
What is Qwen 3.8 Max best used for?
It suits long-context and multimodal work: analyzing entire codebases, reviewing large document bundles, synthesizing across many sources, and answering questions over image or video input. Its tool calling support also makes it usable as the reasoning step in agent workflows.
How large is the context window?
Qwen 3.8 Max supports a 1,000,000-token context window. Note that some providers cap the usable context below the model maximum, and filling the window raises both cost and latency, so check your provider's documented limit.
Does Qwen 3.8 Max support images and video?
Yes. Our metadata confirms text, image, and video input modalities. Video support in particular is less common among API-served models, though the specific formats, resolutions, and duration limits accepted depend on the provider.
How fast is Qwen 3.8 Max?
Artificial Analysis measurements put output throughput at about 47 tokens per second with time to first token near 1,806 ms. Both numbers vary by provider, region, prompt length, and current load, so treat them as a baseline rather than a guarantee.
Should I use Qwen 3.8 Max or a smaller Qwen model?
Use Qwen 3.8 Max when you need the flagship-tier capability, the million-token context, or video and image input. For high-volume classification, extraction, or short chat turns, a smaller model in the Qwen line is generally cheaper and faster; many deployments route between the two.