How much does Qwen3.5-9B cost?

Qwen3.5-9B costs $0.17 per million input tokens and $0.15 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.02 for 100 chats of about 1,000 tokens in and 500 tokens back. Confirm on the maker's site before you buy, because prices change.

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

Qwen3.5-9B has a context window of 262K tokens, roughly 197,000 words of text read at once. A single answer can be up to 100K tokens long.

Is Qwen3.5-9B open source?

Qwen3.5-9B has open weights: its trained parameters can be downloaded. That is not always the same as open source, because licence terms differ, so read the licence before you use it commercially.

How good is Qwen3.5-9B compared with other AI models?

On the Epoch Capabilities Index, Qwen3.5-9B scores 139.3 (likely range 136.1 to 140.8), which ranks 126 of 270 models we track. Scores close together are a tie in practice.

How does Qwen3.5-9B compare with GPT-5 nano?

On quality, neither model leads clearly across the 3 measures both have. 1 measure is too close to call. GPT-5 nano costs about 17% less than Qwen3.5-9B on a blended price of $0.14 against $0.17 per million tokens. See the full comparison for every measure.

How current are these numbers for Qwen3.5-9B?

The newest data on this page is dated 26 Oct 2026. Scores come from Epoch AI and Arena, prices from the open LiteLLM price list.

AI Rankings

Qwen3.5-9B: Score, Price and Context Window

Where Qwen3.5-9B from Alibaba ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated 26 Oct 2026

Alibaba
Open weights
Released Feb 2026

Its score range overlaps with Qwen3-30B-A3B-Thinking (Jul 2025), the model just above it, so a small gap in rank is not a meaningful difference.

Best for

Keeping costs low: it is among the cheapest quarter of models in the top half by score.
Running it yourself: its weights can be downloaded (read the licence terms first).

These lines are worked out from the numbers on this page, not from hands-on testing.

Key facts

Overall score: 139.3; Rank 126 of 270. Likely range 136.1 to 140.8.
Price per million tokens: $0.17 in / $0.15 out; Blended $0.17. Median across hosting providers, checked 26 Oct 2026.
Context window: 262K tokens; About 197,000 words at once. One answer up to 100K tokens.
Weights: Open; The weights can be downloaded. Check the licence before commercial use.

Features listed by the price list: Tool use, Reasoning, Image input, Structured output.

We do not have an Arena human-vote rating for Qwen3.5-9B yet. It is shown as "Not measured" rather than guessed.

Try itQwen Studio in our AI tools directoryQwen assistant for chat, document processing, multimodal questions, web search, and creative tasks.

How Qwen3.5-9B stacks up

Each strip shows every model we track as faint bars. The dot is this model. Better is always to the right, even for price.

Qwen3.5-9B compared with all models we trackOverall capability: 139.3. Better than 53% of the other 269 models. Price: $0.17 per 1M. Cheaper than 88% of the other 200 priced models. Context window: 262K tokens. Larger context window than 50% of the other 198 models.

Overall capability139.3
Better than 53% of the other 269 modelsUpper half
Epoch Capabilities Index: one score that combines many tests.
Price$0.17 per 1M
Cheaper than 88% of the other 200 priced modelsTop 25%
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window262K tokens
Larger context window than 50% of the other 198 modelsUpper half
How much text it can read at once. Bigger suits long documents.

Compared with the other published models that have each measure. Data updated 26 Oct 2026.

Where Qwen3.5-9B ranks

Leaderboards it appears on, best placing first.

See all leaderboards

Test results

Each test checks one kind of skill. Place shows where it stands among the models that took that test.

GPQA Diamond
Very hard multiple-choice science questions in biology, physics and chemistry, written by experts and designed so a quick web search does not give the answer.
79.0%
Place 89 of 183
OTIS Mock AIME
Maths competition problems in the style of the US AIME exam, from the 2024 and 2025 sets. Every answer is a whole number.
61.7%
Place 111 of 174

What it costs in everyday terms

List prices turned into amounts you can picture. Real bills depend on how you use it.

100 chats: $0.02; Cost of 100 chats assumes each chat sends 1,000 tokens (about 750 words) and gets 500 tokens (about 375 words) back.
A 300-page book: $0.02; Cost to read a 300-page book assumes about 100,000 input tokens and no reply. A real book varies with page size and language.
Blended price: $0.17 per 1M; Three parts input to one part output. Our own calculation for comparing models.

Similar models

Models from other makers with a similar overall score.

Learn more

Questions about Qwen3.5-9B

How much does Qwen3.5-9B cost?: Qwen3.5-9B costs $0.17 per million input tokens and $0.15 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.02 for 100 chats of about 1,000 tokens in and 500 tokens back. Confirm on the maker's site before you buy, because prices change.
What is the context window of Qwen3.5-9B?: Qwen3.5-9B has a context window of 262K tokens, roughly 197,000 words of text read at once. A single answer can be up to 100K tokens long.
Is Qwen3.5-9B open source?: Qwen3.5-9B has open weights: its trained parameters can be downloaded. That is not always the same as open source, because licence terms differ, so read the licence before you use it commercially.
How good is Qwen3.5-9B compared with other AI models?: On the Epoch Capabilities Index, Qwen3.5-9B scores 139.3 (likely range 136.1 to 140.8), which ranks 126 of 270 models we track. Scores close together are a tie in practice.
How does Qwen3.5-9B compare with GPT-5 nano?: On quality, neither model leads clearly across the 3 measures both have. 1 measure is too close to call. GPT-5 nano costs about 17% less than Qwen3.5-9B on a blended price of $0.14 against $0.17 per million tokens. See the full comparison for every measure.
How current are these numbers for Qwen3.5-9B?: The newest data on this page is dated 26 Oct 2026. Scores come from Epoch AI and Arena, prices from the open LiteLLM price list.

Where this data comes from

Epoch AI: Benchmark data: Epoch AI, 'Capabilities & benchmarking', epoch.ai/benchmarks (CC BY 4.0). We match models across sources, rank them and show them in charts. Scores are not changed. Epoch AI does not endorse this site.
LiteLLM model price list: Prices and context windows: LiteLLM model price list (github.com/BerriAI/litellm, MIT licence). We use the model maker's own price entry when there is one. Prices change often, so always confirm on the maker's site before you buy.

Newest data on this page: 26 Oct 2026. Prices are list prices and change often, so confirm on the maker's site before you buy. Sponsors never change a score or an order. How we calculate this · Report a mistake