Context Window
—
Input Price/1M
$0.15
#291 of 714
Output Price/1M
$0.47
Parameters
—
Speed
89 tok/s
#152 of 537
Latency (TTFT)
2.6s
Cost per Task
243
AA Score / US$ · higher = better
Qwen3.8-Flash-Next results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Coding Index | 73.1 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 55.8 | 100.0 | Artificial Analysis official API |
Qwen3.8-Flash-Next is an AI model developed by Alibaba, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Alibaba's cloud API.
Qwen3.8-Flash-Next is usage-based, priced at $0.15/1M input tokens and $0.47/1M 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.
Qwen3.8-Flash-Next 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.
Qwen3.8-Flash-Next specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, Qwen3.8-Flash-Next 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.
Qwen3.8-Flash-Next is an AI model developed by Alibaba. It is a text model.
Qwen3.8-Flash-Next costs $0.15/1M input tokens and $0.47/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, Qwen3.8-Flash-Next scored: AA Coding Index: 73.1/100, AA Intelligence Index: 55.8/100. See the full table above for a detailed comparison.
No, Qwen3.8-Flash-Next is a proprietary model from Alibaba. It is available via cloud API. For open source alternatives, check our open source model ranking.
Qwen3.8-Flash-Next excels at general-purpose language tasks.
Last updated: September 01, 2026 • View methodology →