Qwen 3.5 9B API

Alibaba's Qwen 3.5 9B, through an OpenAI-compatible API. 2 providers quote it now, and each request goes to the offer with the lowest estimated charge that meets your rules.

Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send qwen3.5-9b as the model.
Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

Facts

Model name: qwen3.5-9b
Maker: Alibaba
Context window: 16.4K · 262.1K tokens
Input price: $0.046 to $0.090 per million tokens
Output price: $0.075 to $0.130 per million tokens
Providers: 2 independent providers
Regions: eu-central, global

Providers

Greenference: eu-central, $0.046 input and $0.075 output per million tokens, $0.023 cache read per million tokens, 16.4K tokens of context
EmpirioLabs AI: global, $0.090 input and $0.130 output per million tokens, $0.045 cache read per million tokens, 262.1K tokens of context

Scores

HLE: 14.9, #133 of 273
GPQA: 80.6, #103 of 250
AA-LCR: 70.0, #119 of 237
SciCode: 29.5, #116 of 123
Terminal-Bench Hard: 24.2, #75 of 166
τ²-Bench: 86.8, #46 of 169
IFBench: 66.7, #54 of 178
SimpleQA Verified: 20.3, #93 of 126

Scores: Artificial Analysis (https://artificialanalysis.ai/)

Scores: Epoch AI, 'Capabilities & Benchmarking' (https://epoch.ai/benchmarks)

Request

curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.5-9b",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is Qwen 3.5 9B?: Served by intent-router: each job goes to the cheapest healthy upstream for this model.
How much does Qwen 3.5 9B cost?: Offers now ask $0.046 to $0.090 per million input tokens and $0.075 to $0.130 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.
What is the context length of Qwen 3.5 9B?: The largest offer takes 262,144 input tokens. One job can generate up to 235,929 tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
What can Qwen 3.5 9B do?: Its providers list Vision, Video input, Reasoning budget, Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.
What inputs and outputs does Qwen 3.5 9B support?: Text · Images · Video → Text.
Which providers serve Qwen 3.5 9B?: 2 independent providers quote it now, with 2 offers. The table above ranks them by the cost of a typical job.
How do I call Qwen 3.5 9B?: Send "qwen3.5-9b" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was Qwen 3.5 9B listed?: The exchange first listed it on 10/8/2026. This is not its release date.