Specifications
Context Window
1.0M tokens
Input Price/1M
$2.00
Output Price/1M
$6.00
Parameters
—
Speed
82 tok/s
Latency (TTFT)
2.8s
Max Output
131K tokens
Benchmarks
Qwen: Qwen3.8 Max results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Coding Index | 71.8 | 100.0 | — |
| SciCode | 45.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 65.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 58.1 | 100.0 | — |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 92.0 | 100.0 | — |
| HLE | 40.0 | 100.0 | — |
Information
- Release date
- August 03, 2026
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Qwen: Qwen3.8 Max
What is Qwen: Qwen3.8 Max?
Qwen: Qwen3.8 Max is an AI model developed by Alibaba, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 1.0M tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Qwen: Qwen3.8 Max is usage-based, priced at $2/1M input tokens and $6/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Benchmarks & Performance
Qwen: Qwen3.8 Max was evaluated on 6 different benchmarks, covering categories like Coding, Long Context, overall, Reasoning. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Qwen: Qwen3.8 Max is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), multimodal processing combining text and images, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Qwen: Qwen3.8 Max competes directly with similarly capable models. Alibaba competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Qwen: Qwen3.8 Max?
Qwen: Qwen3.8 Max is an AI model developed by Alibaba. It is a language model (LLM), with multimodal support (text, image and more), open source.
How much does Qwen: Qwen3.8 Max cost?
Qwen: Qwen3.8 Max costs $2/1M input tokens and $6/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Qwen: Qwen3.8 Max compare with other models?
In available benchmarks, Qwen: Qwen3.8 Max scored: AA Coding Index: 71.8/100, SciCode: 45/100, AA-LCR: 65/100. See the full table above for a detailed comparison.
Is Qwen: Qwen3.8 Max open source?
Yes, Qwen: Qwen3.8 Max is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
What is Qwen: Qwen3.8 Max best for?
Qwen: Qwen3.8 Max excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: August 10, 2026 • View methodology →