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Qwen3 235B A22B Instruct · $0.161 per 1M input tokens

Qwen3 235B A22B Instruct 2507 API, paid in crypto

The Qwen3 235B instruct model, release 2507, Apache 2.0, behind an OpenAI-compatible endpoint. Billed per token from a crypto balance at 5% below the median of four public hosts. No KYC.

Last updated:

Quick answer

Where can I use the Qwen3 235B A22B Instruct API with crypto?

On LLMwithCrypto, under the API id qwen3-235b-a22b-instruct-2507. As of 23 October 2026 it costs $0.161 per million input tokens and $0.57 per million output tokens, 5% below the median of 4 hosts, with a 256K-token context. You pay from a crypto balance, with 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$0.161$0.57
Together AI$0.20$0.60
DeepInfra$0.09$0.55
Parasail$0.14$0.80
Nebius Token Factory$0.20$0.60

Prices checked on

How do I call Qwen3 235B A22B Instruct?

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 qwen3-235b-a22b-instruct-2507 as the model. Pass your API key as a Bearer token in the Authorization header, as the OpenAI SDK does.

qwen3_235b_a22b_instruct_2507.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="qwen3-235b-a22b-instruct-2507",
    messages=[{"role": "user", "content": "Summarize this 40-page contract in ten bullet points, in French."}],
)
print(resp.choices[0].message.content)
print(resp.usage)  # prompt_tokens and completion_tokens: what the call costs

What is Qwen3 235B A22B Instruct good for?

Qwen3-235B-A22B-Instruct-2507 is the 2507 instruct release of Qwen3’s 235B mixture-of-experts model, Apache 2.0, with a context of about 256K tokens. Four hosts list it; Alibaba’s international Model Studio did not on the day we read it.

We use it for multilingual chat and long documents at a moderate price: summaries, translation and question answering over long files. Need more capacity? Qwen3.5 397B is the larger Qwen on the same API.

What licence does Qwen3 235B A22B Instruct come with?

Apache 2.0, with the licence and NOTICE kept, as published by the Qwen team on Hugging Face. 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 235B A22B Instruct questions

Why is the input price so low next to the output price?

That is how the hosts price it: on 23 October 2026 their input prices ranged from $0.09 to $0.20 per million tokens and output from $0.55 to $0.80. Our price follows the median of both, minus 5%.

Does “2507” matter?

Yes: 2507 names the release priced by the hosts in our table. Calling the id qwen3-235b-a22b-instruct-2507 always reaches that release.

Are prompts logged?

We do not store your prompts or the model’s answers: once a response is sent, its text is gone. Each call leaves one log line with the time, the account, the model and the token counts, deleted after 30 days.

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

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