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qwen/qwen3.5-397b-a17b

The Qwen3.5 series 397B-A17B native vision-language model is based on a hybrid architecture design that integrates linear attention mechanisms with sparse Mixture-of-Experts (MoE), achieving higher inference efficiency. Across a variety of tasks—including language understanding, logical reasoning, code generation, agentic tasks, image understanding, video understanding, and graphical user interface (GUI) interaction—it demonstrates exceptional performance comparable to current top-tier frontier models. Possessing robust code generation and agentic capabilities, it exhibits strong generalization across various agent scenarios.

👁Vision🧠Reasoning🔧Tool calling
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Specifications

Context window262K tokens
Max output66K tokens
API typechat
AddedNov 28, 2025
Model IDnovita/qwen/qwen3.5-397b-a17b
Data retentionYes
Used for trainingUnknown
Provider location🇺🇸 US
Privacy policyNovita AI Privacy Policy→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Novita AI models overview.

Pricing

Input / 1M
$0.60
Output / 1M
$3.60
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0960
1M input + 100K output$0.96
10M input + 1M output$9.60

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to novita/qwen/qwen3.5-397b-a17b.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="novita/qwen/qwen3.5-397b-a17b",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

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SWE-Bench 66%

Frequently asked questions

How much does qwen/qwen3.5-397b-a17b cost?
qwen/qwen3.5-397b-a17b is priced at $0.60 per million input tokens and $3.60 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of qwen/qwen3.5-397b-a17b?
qwen/qwen3.5-397b-a17b has a context window of 262K tokens, with a maximum output of 66K tokens per response. That's roughly 350 words of input you can fit in a single prompt.
What can qwen/qwen3.5-397b-a17b do?
qwen/qwen3.5-397b-a17b supports vision input, tool calling, extended reasoning. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use qwen/qwen3.5-397b-a17b with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "novita/qwen/qwen3.5-397b-a17b". The Quickstart above shows Python, JavaScript and cURL snippets.

Access qwen/qwen3.5-397b-a17b through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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