Qwen3.5-9B

Last verified August 3, 2026 · Alibaba pricing ↗

$0.100/1M input · $0.150/1M output · 262K context · Alibaba

Qwen3.5-9B costs $0.100 per 1M input tokens and $0.150 per 1M output tokens from Alibaba, with a 262K-token context window. A typical chat reply (1,500 tokens in, 400 out) costs $0.0002, or $2.10 per 10,000 requests. On that workload it is cheaper than 159 of the 168 other buyable models tracked here.

budgetultra-budgetself-hostingsimple-tasks

When to use Qwen3.5-9B

Tiny but capable model from Alibaba, priced close to free. Perfect for simple tasks where you need a model but cost is the primary concern.

Ultra-low cost per input token
Small enough to self-host on modest hardware
Good for simple classification and extraction

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What Qwen3.5-9B Costs Per Request

At $0.100 per 1M input and $0.150 per 1M output tokens, before caching or batch discounts.

Workload	Input / output tokens	Per request	Per 10,000 requests
Chat reply	1,500 / 400	$0.0002	$2.10
RAG answer over retrieved docs	8,000 / 600	$0.0009	$8.90
Coding-agent step	30,000 / 2,000	$0.0033	$33.00

Qwen3.5-9B vs Similarly Priced Models

Nearest buyable models by price, with the RAG answer above (8,000 in / 600 out) priced on each.

Model	Input /1M	Output /1M	Context	RAG answer
Qwen3.5-9B Alibaba	$0.100	$0.150	262K	$0.0009
Qwen3.7 Flash Alibaba	$0.030	$0.130	1.0M	$0.0003
Ling-3.0-flash Ant Group	$0.060	$0.180	262K	$0.0006
GPT-OSS 120B OpenAI	$0.039	$0.190	131K	$0.0004

Alternatives to Qwen3.5-9B

Cheaper Alternative

Ling-3.0-flash

$0.060 in · $0.180 out · Ant Group

4% cheaper with same or larger context

Premium Upgrade

Ministral 3 8B

$0.150 in · $0.150 out · Mistral

Premium tier from Mistral

Same Provider

Qwen3.7 Flash

$0.030 in · $0.130 out · Alibaba

36% cheaper in Alibaba ecosystem

Pricing Details

AlibabaApache 2.0 open weights, so there is no first-party Alibaba rate: this model is absent from the Model Studio price table and the figure here is OpenRouter's, the route that actually sells it, at $0.10/$0.15 per 1M over 262K context. Native multimodal (text and image) in a 9B architecture. Launch date corrected to 2026-03-10, OpenRouter's listing date. Hosts vary; prompt caching on OpenRouter can cut effective input cost substantially on repeated context.

Input / 1M tokens

$0.1

Output / 1M tokens

$0.15

Context Window

262K

Max Output

33K

Full Pricing Table Token Calculator

Price History

No price change recorded since 2026-08-03, when this site started tracking this model; it launched on 2026-03-10.

Frequently Asked Questions

Common questions about Qwen3.5-9B pricing and usage

How much does Qwen3.5-9B cost?

Qwen3.5-9B costs $0.1 per 1 million input tokens and $0.15 per 1 million output tokens. This pricing is set by Alibaba.

What tokenizer does Qwen3.5-9B use?

Qwen3.5-9B uses the cl100k_base tokenizer. This tokenizer has a vocabulary of ~100,000 tokens and is widely used across many models.

What is Qwen3.5-9B's context window?

Qwen3.5-9B supports a context window of 262K tokens (262,144 tokens). The maximum output length is 33K tokens.

How does Qwen3.5-9B compare to other models?

On an 8,000-token-in, 600-token-out RAG answer, Qwen3.5-9B costs $0.0009 per request. The nearest-priced alternatives cost: Qwen3.7 Flash (Alibaba) $0.0003, Ling-3.0-flash (Ant Group) $0.0006, GPT-OSS 120B (OpenAI) $0.0004. The table above lists their full rates and context windows.

How do I count tokens for Qwen3.5-9B?

Use the token counter at the top of this page or visit the homepage calculator. Paste your text and it will show the exact token count and cost for Qwen3.5-9B using the cl100k_base tokenizer.

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