Atlas / Models / Qwen / Qwen: Qwen3.5 Plus 2026-02-15

Qwen: Qwen3.5 Plus 2026-02-15✓ Catalog verified

qwen/qwen3.5-plus-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 task evaluations, the 3.5 series consistently demonstrates performance on par with state-of-the-art leading models. Compared to the 3 series, these models show a leap forward in both pure-text and multimodal capabilities.

Input price
$0.26 /1M
Output price
$1.56 /1M
Context
1M
Modalities
textimagevideo
Released
Feb 16, 2026
Tool calling
✓ Yes
Atlas signal
90/100
01

Overview

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 task evaluations, the 3.5 series consistently demonstrates performance on par with state-of-the-art leading models. Compared to the 3 series, these models show a leap forward in both pure-text and multimodal capabilities.

Access: available through the official Qwen API. Context window: 1M.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifierqwen/qwen3.5-plus-02-15
ProviderQwen
Model typeMultimodal LLM
Context window1M catalog
Input modalitiestext · image · video
Output modalitiestext
ReleasedFeb 16, 2026
TokenizerQwen3
ModeratedNo
Architecture modalitytext+image+video->text
Supported parameters
include_reasoningmax_tokenspresence_penaltyreasoningresponse_formatseedstructured_outputstemperaturetool_choicetoolstop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_p": null,
  "temperature": null,
  "frequency_penalty": null
}
03

Pricing

Live pricing components for qwen/qwen3.5-plus-02-15 as published in the catalog.

$0.26
Input /1M
$1.56
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$2.6e-7$0.26 / 1MPer input token
Completion tokens$0.00000156$1.56 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.44Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual Understanding✓ SupportedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-Hosting✓ SupportedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Qwen: Qwen3.5 Plus 2026-02-15
MMLU Signal (Reasoning)
95signal
Coding Signal (HumanEval proxy)
92signal
Math Signal (GSM8K proxy)
87signal
Science Signal (GPQA proxy)
87signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Qwen: Qwen3.5 Plus 2026-02-15 through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="qwen/qwen3.5-plus-02-15",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Qwen: Qwen3.5 Plus 2026-02-15 cost?

$0.26 per 1M input tokens and $1.56 per 1M output tokens on the official Qwen API.

What is the context window of Qwen: Qwen3.5 Plus 2026-02-15?

Qwen: Qwen3.5 Plus 2026-02-15 supports up to 1M tokens of context.

Does Qwen: Qwen3.5 Plus 2026-02-15 support tool / function calling?

Yes, Qwen: Qwen3.5 Plus 2026-02-15 supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Qwen: Qwen3.5 Plus 2026-02-15?

Use the official Qwen API with the model id `qwen/qwen3.5-plus-02-15`. See the Quick start section above for code examples.