Qwen3.5 Plus 2026-02-15

Qwen3.5 Plus 2026-02-15 by Alibaba excels in the Coding category, where it ranks #219 with a composite score of 40/100. The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Qwen3.5 Plus 2026-02-15 is priced at $0.26 per million input tokens and $1.56 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Qwen3.5 Plus 2026-02-15 holds rank #219 out of 341 models tracked. Its quality rank is #219 and adoption rank is #219. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Qwen3.5 Plus 2026-02-15 has been evaluated across 5 different signals. Its strongest areas include Capabilities (83/100), Pricing (98/100), Context Window (95/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.

Qwen3.5 Plus 2026-02-15 is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Alibaba's website for current free tier availability and promotional offers.

Qwen3.5 Plus 2026-02-15 supports a 1,000K token context window (1,000,000 tokens total). That translates to roughly 750,000 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.

Qwen3.5 Plus 2026-02-15 can generate up to 66K output tokens (65,536 tokens) per response. That is roughly 49,152 words. This is enough for generating complete code files, detailed reports, or long-form content in a single response.

Qwen3.5 Plus 2026-02-15 supports image understanding (vision), function/tool calling, structured JSON output, extended reasoning/chain-of-thought, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. Vision support means it can analyze images, screenshots, and diagrams alongside text. These capabilities determine which workflows and integrations the model can handle natively.

Qwen3.5 Plus 2026-02-15 was developed by Alibaba. It was released on February 16, 2026. You can access it through Alibaba's API. Check our provider page for all models from Alibaba and how they compare against each other.

Pick Qwen3.5 Plus 2026-02-15 when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access Qwen3.5 Plus 2026-02-15 through Alibaba's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.