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Qwen3.5 397B A17B · $0.57 per 1M input tokens

Qwen3.5 397B A17B API, paid in crypto

Alibaba’s large open-weight Qwen3.5 model, Apache 2.0, on an OpenAI-compatible endpoint. Billed per token from a crypto balance at 5% below the median of six hosts, Alibaba’s own Model Studio included. No KYC.

Last updated:

Quick answer

How much does the Qwen3.5 397B API cost with crypto?

As of 23 October 2026, LLMwithCrypto serves Qwen3.5-397B-A17B under the API id qwen3.5-397b-a17b at $0.57 per million input tokens and $3.42 per million output tokens. That is 5% below the median of 6 hosts, including Alibaba Model Studio. Context: 256K tokens. Paid in crypto, no KYC.

How does our price compare with other hosts?

List prices per million tokens on each host's own pricing page, read on 23 October 2026; promotions are left out. Ours is the median of these prices minus 5%; every host is in the price index.

HostInput / 1MOutput / 1M
LLMwithCrypto$0.57$3.42
Alibaba Model Studio (International)$0.60$3.60
Together AI$0.60$3.60
DeepInfra$0.45$3.00
Novita AI$0.60$3.60
Parasail$0.50$3.60
Nebius Token Factory$0.60$3.60

Prices checked on

How do I call Qwen3.5 397B A17B?

With the OpenAI SDK, as for any OpenAI-compatible API: set the base URL to https://llmwithcrypto.com/api/v1, read your key from LLMWITHCRYPTO_API_KEY, and pass qwen3.5-397b-a17b as the model. Pass your API key as a Bearer token in the Authorization header, as the OpenAI SDK does.

qwen3_5_397b_a17b.py
import os

from openai import OpenAI

client = OpenAI(
    base_url="https://llmwithcrypto.com/api/v1",
    api_key=os.environ["LLMWITHCRYPTO_API_KEY"],
)

resp = client.chat.completions.create(
    model="qwen3.5-397b-a17b",
    messages=[{"role": "user", "content": "Translate this product description into Spanish and Japanese, keeping the bullet points."}],
)
print(resp.choices[0].message.content)
print(resp.usage)  # prompt_tokens and completion_tokens: what the call costs

What is Qwen3.5 397B A17B good for?

Qwen3.5-397B-A17B is a large mixture-of-experts model from Alibaba’s Qwen team, released under Apache 2.0. Six of the hosts we read list it, Alibaba’s own international Model Studio among them, at very close prices.

We position it as a large multilingual model: translation, long documents and general chat in many languages. For lighter multilingual work, Qwen3 235B A22B Instruct costs less on the same key.

What licence does Qwen3.5 397B A17B come with?

Apache 2.0. Qwen publishes the Qwen3.5 weights under Apache 2.0, which allows serving them commercially with the licence and NOTICE kept. Each model keeps its own licence and use policy (for example Meta’s Llama Acceptable Use Policy and the “Built with Llama” notice); using a model through us means accepting them.

Qwen3.5 397B A17B questions

Why not the newest Qwen model?

The current flagship open Qwen model, Qwen3.8-2.4T-A95B, comes with its own licence that we have not reviewed. Until we have, we only serve Qwen models under Apache 2.0.

Is it the same price as Alibaba’s own API?

Alibaba Model Studio (international) listed it at $0.60 input and $3.60 output per million tokens on 23 October 2026. Ours is $0.57 and $3.42.

Do you train on my prompts?

We never train or fine-tune any model on your prompts or outputs.

Sources (6)
  1. Alibaba Model Studio (International) pricing — Alibaba Model Studio (International) (read 2026-10-23)
  2. Together AI pricing together.ai/pricing — Together AI (read 2026-10-23)
  3. DeepInfra pricing deepinfra.com/pricing — DeepInfra (read 2026-10-23)
  4. Novita AI pricing novita.ai/pricing — Novita AI (read 2026-10-23)
  5. Parasail pricing parasail.io/pricing — Parasail (read 2026-10-23)
  6. Nebius Token Factory pricing tokenfactory.nebius.com/endpoints — Nebius Token Factory (read 2026-10-23)

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