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Qwen · Alibaba Cloud
Qwen3.5 Plus 2026-02-15.
Qwen3.5 Plus 2026-02-15 is an Alibaba Cloud model, listed on 16 February 2026. It takes text, images and video and returns text, with a 1 million-token context window.
- Hosted API
- 1M context
Specification
- Provider
- Alibaba Cloud
- Family
- Qwen
- Listed
- 16 February 2026
- Catalogue id
- qwen/qwen3.5-plus-02-15
- Context window
- 1 million tokens
- Maximum output
- 65,536 tokens
- Inputs and output
- Text, images and video in; text out
- Capabilities
- Tool calling, structured outputs and adjustable reasoning
- Weights
- Not published — hosted API
- Listed price
- $0.260 input, $1.56 output per million tokens
Provider-published specifications as of 30 October 2026, not figures we measured. Model families move quickly — check the provider's own documentation before committing to a number.
Source: Qwen3.5 Plus 2026-02-15 in the OpenRouter catalogue, checked weekly. Confirm current terms in Alibaba Cloud's own documentation before you commit.
What it costs
Price the whole answer.
Illustrative calculation at listed rates: a batch of 10 million input tokens and 1 million output tokens costs $4.16 on Qwen3.5 Plus 2026-02-15. A thousand requests of 2,000 input and 500 output tokens each costs $1.30. Calculation: input millions × input rate + output millions × output rate; it excludes reasoning tokens, retries, tools, tax and review time.
Compare cost per accepted result, not per token: replay the same work on two or three candidates and count the answers you would actually ship. Our model-routing approach sends each request to the cheapest model that passes.
THE REST OF THE FAMILY
Other Qwen models.
Every Qwen model in the catalogue. Our Qwen page covers where the family fits and how we evaluate it.
| Qwen3.5 Plus 2026-02-15 | 16 Feb 2026 | — | — | 1M | $0.260 | $1.56 |
|---|---|---|---|---|---|---|
| Qwen3.8 Max Prime | 23 Sep 2026 | — | — | 1M | $4.00 | $12.00 |
| Qwen3.8 Omni Flash | 21 Sep 2026 | — | — | 1M | $0.150 | $0.470 |
| Qwen3.8 Max (0902) | 2 Sep 2026 | 33.6 | 38 | 1M | $2.00 | $6.00 |
| Qwen3.8 Flash open | 26 Aug 2026 | — | — | 1M | $0.150 | $0.470 |
| Qwen3.8 27B open | 14 Aug 2026 | 20.1 | 39 | 1M | $0.150 | $1.88 |
| Qwen3.8 2.4T A95B open | 12 Aug 2026 | — | 38 | 1.05M | $2.00 | $6.00 |
| Qwen3.7 Flash | 27 Jul 2026 | — | — | 1M | $0.030 | $0.130 |
| Qwen3.7 Plus | 1 Jun 2026 | — | 55 | 1M | $0.320 | $1.28 |
| Qwen3.7 Max | 19 May 2026 | — | — | 1M | $1.48 | $4.43 |
| Qwen3.5 Plus 2026-04-20 | 27 Apr 2026 | — | — | 1M | $0.300 | $1.80 |
| Qwen3.6 27B open | 22 Apr 2026 | — | — | 262k | $0.320 | $3.20 |
| Qwen3.6 35B A3B open | 16 Apr 2026 | — | 137 | 262k | $0.100 | $0.900 |
| Qwen3.6 Flash | 27 Apr 2026 | — | — | 1M | $0.188 | $1.13 |
| Qwen3.6 Plus | 2 Apr 2026 | — | — | 1M | $0.325 | $1.95 |
Intelligence and coding: Artificial Analysis indices at the model's best reasoning setting, and its measured output speed. Context and prices: the OpenRouter catalogue list price in USD per million tokens. Released: the provider's date where Artificial Analysis records one, otherwise the date the catalogue first listed it. Refreshed weekly; not measured by QQuantum.ai. Select a heading to sort.
Questions
Questions about Qwen3.5 Plus 2026-02-15.
When was Qwen3.5 Plus 2026-02-15 listed?
Qwen3.5 Plus 2026-02-15 was listed on 16 February 2026 in the OpenRouter catalogue; the provider's own announcement may predate it.
What is the context window of Qwen3.5 Plus 2026-02-15?
1 million tokens, with up to 65,536 output tokens per response, as listed in the OpenRouter catalogue on 30 October 2026. A long window is not the same as reliable recall across it; evaluate retrieval on your own documents.
How much does Qwen3.5 Plus 2026-02-15 cost?
The catalogue lists $0.260 per million input tokens and $1.56 per million output tokens (checked 30 October 2026). Alibaba Cloud's own rates, batch discounts and cloud marketplaces can differ.
Can Qwen3.5 Plus 2026-02-15 run on our own hardware?
The catalogue lists no published weights for it, so it is used as a hosted API. Where data may not leave your infrastructure, an open-weight model is the alternative.
