Atlas / Models / Qwen / Qwen: Qwen3.5 397B A17B

Qwen: Qwen3.5 397B A17B✓ Catalog verified

qwen/qwen3.5-397b-a17b

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers state-of-the-art performance comparable to leading-edge models across a wide range of tasks, including language understanding, logical reasoning, code generation, agent-based tasks, image understanding, video understanding, and graphical user interface (GUI) interactions. With its robust code-generation and agent capabilities, the model exhibits strong generalization across diverse agent.

Input price
$0.39 /1M
Output price
$2.34 /1M
Context
262K
Modalities
textimagevideo
Released
Feb 16, 2026
Tool calling
✓ Yes
Atlas signal
92/100
01

Overview

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers state-of-the-art performance comparable to leading-edge models across a wide range of tasks, including language understanding, logical reasoning, code generation, agent-based tasks, image understanding, video understanding, and graphical user interface (GUI) interactions. With its robust code-generation and agent capabilities, the model exhibits strong generalization across diverse agent.

Access: available through the official Qwen API. Context window: 262K.

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

Specifications

API identifierqwen/qwen3.5-397b-a17b
ProviderQwen
Model typeMultimodal LLM
Context window262K catalog
Input modalitiestext · image · video
Output modalitiestext
ReleasedFeb 16, 2026
TokenizerQwen3
ModeratedNo
Architecture modalitytext+image+video->text
Supported parameters
frequency_penaltyinclude_reasoninglogit_biasmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_k": 20,
  "top_p": 0.95,
  "temperature": 0.6,
  "presence_penalty": null,
  "frequency_penalty": null,
  "repetition_penalty": null
}
03

Pricing

Live pricing components for qwen/qwen3.5-397b-a17b as published in the catalog.

$0.39
Input /1M
$2.34
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$3.9e-7$0.39 / 1MPer input token
Completion tokens$0.00000234$2.34 / 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

$0.66Calculated 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 397B A17B
MMLU Signal (Reasoning)
97signal
Coding Signal (HumanEval proxy)
97signal
Math Signal (GSM8K proxy)
92signal
Science Signal (GPQA proxy)
83signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Qwen: Qwen3.5 397B A17B 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/qwen3.5-397b-a17b",
    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 397B A17B cost?

$0.39 per 1M input tokens and $2.34 per 1M output tokens on the official Qwen API.

What is the context window of Qwen: Qwen3.5 397B A17B?

Qwen: Qwen3.5 397B A17B supports up to 262K tokens of context.

Does Qwen: Qwen3.5 397B A17B support tool / function calling?

Yes, Qwen: Qwen3.5 397B A17B supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Qwen: Qwen3.5 397B A17B?

Use the official Qwen API with the model id `qwen/qwen3.5-397b-a17b`. See the Quick start section above for code examples.