Qwen: Qwen3.8 2.4T A95B
Alibaba • LLM#14 of 571 in intelligence
Qwen: Qwen3.8 2.4T A95B by Alibaba
Specifications
Context Window
1.0M tokens
Input Price/1M
$2.00
#564 of 686
Output Price/1M
$6.00
Parameters
—
Speed
48 tok/s
#230 of 525
Latency (TTFT)
2.7s
Max Output
262K tokens
Cost per Task
19.2
AA Score / US$ · higher = better
Benchmarks
Qwen: Qwen3.8 2.4T A95B results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Coding Index | 71.9 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 57.7 | 100.0 | Artificial Analysis official API |
Information
- Release date
- August 12, 2026
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Qwen: Qwen3.8 2.4T A95B
What is Qwen: Qwen3.8 2.4T A95B?
Qwen: Qwen3.8 2.4T A95B is an AI model developed by Alibaba, classified as a large language model (LLM). It focuses on text processing and natural language generation. 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 2.4T A95B 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 2.4T A95B 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 2.4T A95B is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Qwen: Qwen3.8 2.4T A95B 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 2.4T A95B?
Qwen: Qwen3.8 2.4T A95B is an AI model developed by Alibaba. It is a language model (LLM), open source.
How much does Qwen: Qwen3.8 2.4T A95B cost?
Qwen: Qwen3.8 2.4T A95B 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 2.4T A95B compare with other models?
In available benchmarks, Qwen: Qwen3.8 2.4T A95B scored: AA Coding Index: 71.9/100, AA Intelligence Index: 57.7/100. See the full table above for a detailed comparison.
Is Qwen: Qwen3.8 2.4T A95B open source?
Yes, Qwen: Qwen3.8 2.4T A95B 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 2.4T A95B best for?
Qwen: Qwen3.8 2.4T A95B excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: August 18, 2026 • View methodology →