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Qwen3.5 9B API

Alibaba·Text

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...

262.1K Context 41.0K out 52 req/24h $0.00 24h volume
Input
Text
Output
Text

Pricing

Cheapest live price, per 1 million tokens.

Input / 1M tokens

$0.03655% off

$0.080 OpenRouter

Output / 1M tokens

$0.05356% off

$0.120 OpenRouter

Cache read / 1M

$0.032

Repeated prompt prefixes

Cache read is the discounted rate for repeated prompt prefixes (system prompts, agent context).

Capabilities · 7

Reasoning Effort: low / medium / high Tool calling JSON mode JSON schema Streaming Logprobs

Specifications

Context window
262K
Max output
41K
Type
Text
Creator
Alibaba
Live sellers
112
Requests / 24h
52

Estimated monthly cost

30 days at the cheapest live price.

AI Chatbot
1,000 req/day · 2K in · 0.5K out
$2.96/mo
$6.60 OpenRouter
Coding Copilot
500 req/day · 8K in · 2K out
$5.92/mo
$13.20 OpenRouter
AI Agent
100 req/day · 50K in · 5K out
$6.21/mo
$13.80 OpenRouter

Quick start

OpenAI-compatible — change the base URL and key. Get a key from the dashboard.

from openai import OpenAI

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

response = client.chat.completions.create(
    model="qwen3.5-9b",
    messages=[{"role": "user", "content": "Hello!"}],
)

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

About Qwen3.5 9B

Qwen3.5 9B is a language model developed by Alibaba. It's particularly well-suited for tackling complex, multi-step reasoning problems, orchestrating tool-using agents that call APIs and external services, producing structured outputs for reliable data extraction and handling large contexts of up to 262K tokens. Its 262K-token context window means you can pass in entire documents, codebases, or conversation histories without losing context. It can write up to 41K tokens in a single response.

As of Nov 15, 2026, Qwen3.5 9B costs $0.036 per 1M input tokens and $0.053 per 1M output tokens on Qubax, versus $0.080 / $0.120 on OpenRouter (55% less on input). A typical 1,000 chat requests (2K tokens in, 500 out) come to about $0.10. 112 independent compute providers currently serve it, so requests fail over automatically. It handled 52 requests on Qubax in the last 24 hours. Pay with USDC, USDT, BTC, ETH or 350+ other coins — no credit card required.

Complex Reasoning
Multi-step problem solving, math, and logical analysis
Function Calling
Build agents and tool-using applications
Long Documents
Process entire codebases, books, or lengthy conversations
Chat & Conversation
Build AI chatbots and conversational assistants

Similar-priced alternatives

Frequently asked questions

How much does the Qwen3.5 9B API cost?

On Qubax, Qwen3.5 9B costs $0.036 per 1M input tokens and $0.053 per 1M output tokens. This is 55% cheaper than OpenRouter's price of $0.080 per 1M input tokens.

Is the Qwen3.5 9B API compatible with OpenAI?

Yes. Qubax provides an OpenAI-compatible API. You can use Qwen3.5 9B as a drop-in replacement by changing your base URL to https://api.qubax.ai/v1 and using your Qubax API key. It works with Cline, Cursor, OpenCode, Hermes Agent, and any tool that supports OpenAI APIs.

Why is Qwen3.5 9B cheaper on Qubax than OpenRouter?

Qubax sources AI inference from an open compute marketplace on the Base blockchain where GPU providers compete on price. We pass the savings to you — 55% cheaper than OpenRouter's price for Qwen3.5 9B.

How do I pay for Qwen3.5 9B API usage?

Qubax uses prepaid crypto credits. Top up with USDC, USDT, BTC, ETH, SOL or 350+ other coins and your balance is deducted as you use the API. No credit card or KYC required.

What is the context window of Qwen3.5 9B?

Qwen3.5 9B supports a context window of 262K tokens, allowing you to process large documents, codebases, or long conversations in a single request.

What can I build with Qwen3.5 9B?

You can use Qwen3.5 9B to tackle complex multi-step reasoning tasks, build autonomous agents that call external tools and APIs, generate structured JSON output for data pipelines and process long documents and entire codebases. Because it's served through Qubax's OpenAI-compatible API, integration into existing apps, agents, or workflows takes just a few lines of code.

How fast and reliable is Qwen3.5 9B on Qubax?

Measured time to first token (p95) on Qubax is 729ms. Responses stream token by token. 112 sellers serve it, so if one is slow or down the request moves to the next.

Qwen3.5 9B vs Kimi K3: which should I choose?

Qwen3.5 9B by Alibaba and Kimi K3 by Moonshot AI are both strong models in a similar price tier. Qwen3.5 9B excels at complex reasoning. Kimi K3 comes from a different lab and may have different strengths depending on your workload. On Qubax, Qwen3.5 9B starts at $0.036/1M input tokens versus Kimi K3's $0.038/1M — making Qwen3.5 9B the more cost-effective option for high-volume workloads. Both are available on Qubax with crypto payments and OpenAI-compatible APIs, so you can try each and switch freely.

Can I use Qwen3.5 9B for commercial projects?

Yes. Qwen3.5 9B on Qubax can be used for commercial purposes. You own the outputs you generate. Qubax provides the API infrastructure — you bring your use case.

Why use Qwen3.5 9B on Qubax?

56% cheaper

Providers compete on price — you get the cheapest healthy seller.

Pay with crypto

350+ coins (BTC, ETH, SOL, USDT, USDC). No card, no KYC.

OpenAI & Anthropic compatible

Drop-in base URL. Works with Cline, Cursor, Claude Code, OpenAI and Anthropic SDKs.

Get started free →

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Qwen3.5 9B

$0.036 in · $0.053 out

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