Qwen: Qwen3.8 27B
Alibaba • LLM#39 of 564 in intelligence
Qwen: Qwen3.8 27B by Alibaba
Specifications
Context Window
1.0M tokens
Input Price/1M
$0.45
#421 of 689
Output Price/1M
$3.20
Parameters
—
Max Output
131K tokens
Cost per Task
45.7
AA Score / US$ · higher = better
Benchmarks
Qwen: Qwen3.8 27B results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Coding Index | 68.1 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 52.0 | 100.0 | — |
Information
- Release date
- August 14, 2026
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Qwen: Qwen3.8 27B
What is Qwen: Qwen3.8 27B?
Qwen: Qwen3.8 27B 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 27B is usage-based, priced at $0.45/1M input tokens and $3.2/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
Qwen: Qwen3.8 27B was evaluated on 2 different benchmarks, covering categories like Coding, overall. Results show moderate 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 27B is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), multimodal processing combining text and images, high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Qwen: Qwen3.8 27B 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 27B?
Qwen: Qwen3.8 27B 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 27B cost?
Qwen: Qwen3.8 27B costs $0.45/1M input tokens and $3.2/1M 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 27B compare with other models?
In available benchmarks, Qwen: Qwen3.8 27B scored: AA Coding Index: 68.1/100, AA Intelligence Index: 52/100. See the full table above for a detailed comparison.
Is Qwen: Qwen3.8 27B open source?
Yes, Qwen: Qwen3.8 27B 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 27B best for?
Qwen: Qwen3.8 27B excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: August 22, 2026 • View methodology →