Qwen: Qwen3.5 Plus 2026-02-15
Analysis Summary
Qwen3.5 Plus 2026-02-15 is positioned as an affordable multimodal model with a million-token context window. It accepts text, images, and video, and includes tool use and function calling, creating a useful foundation for document processing, media-aware content workflows, and structured automation. Its price profile is attractive for high-volume use.
There is no model-specific intelligence, coding, or agent benchmark data in the supplied record, so capability claims should remain conservative. It may be suitable for routine SEO production, content transformation, media classification, and long-context extraction after internal testing, but it should not be selected for high-stakes reasoning or autonomous engineering without evidence from representative tasks. A staged rollout with output checks is appropriate.
The low price and broad modality make it worth evaluating as a volume tier. Adopt it only after it meets task-specific quality and reliability thresholds.
Assessed August 9, 2026
Editorial notes
Qwen3.5 Plus offers a million-token context, vision, video input, tool use, and low pricing, but its lack of model-specific benchmark data requires validation before production adoption.
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DFO Verdict
Qwen3.5 Plus offers a million-token context, vision, video input, tool use, and low pricing, but its lack of model-specific benchmark data requires validation before production adoption.
How Qwen: Qwen3.5 Plus 2026-02-15 compares
Its 1M-token context window is larger than 86% of the models we list. At $0.26 per million input tokens it is cheaper than 49% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.26 | $0.000260 |
| Output | $1.56 | $0.001560 |
What would Qwen: Qwen3.5 Plus 2026-02-15 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3.5 Plus 2026-02-15 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3.5 Plus 2026-02-15
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..
Frequently asked questions about Qwen: Qwen3.5 Plus 2026-02-15
How much does Qwen: Qwen3.5 Plus 2026-02-15 cost?
Qwen: Qwen3.5 Plus 2026-02-15 costs $0.26 per million input tokens and $1.56 per million output tokens.
What is the context window of Qwen: Qwen3.5 Plus 2026-02-15?
Qwen: Qwen3.5 Plus 2026-02-15 has a context window of 1,000,000 tokens (1M).
What can Qwen: Qwen3.5 Plus 2026-02-15 do?
Qwen: Qwen3.5 Plus 2026-02-15 supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3.5 Plus 2026-02-15?
Qwen: Qwen3.5 Plus 2026-02-15 is developed by Qwen and was released on February 16, 2026.
