Qwen3.5 9B é um modelo de raciocínio multimodal compacto com 256K de contexto, entrada de imagem e vídeo, ferramentas de função e saída estruturada.
Alibaba CloudGeração de Texto256K contextoLançado Feb 23, 2026Inferência nativaNovoQwen3.5 9B é um modelo de raciocínio multimodal compacto com 256K de contexto, entrada de imagem e vídeo, ferramentas de função e saída estruturada.
Suporta entrada de texto, imagem e vídeo, streaming, ferramentas de função, saída JSON estruturada, controle de sementes e modo de pensamento por padrão. Use raciocination effort ou thinking budget para o pensamento limitado, ou ative thinking=false para respostas diretas. As leituras de cache automáticas são cobradas pela taxa de entrada em cache quando relatadas pelo serviço do modelo. Os controles de cache explícitos não são suportados.
Também conhecido como Alibaba Cloud Qwen3.5 9B, Qwen3.5-9B, qwen3-5-9b
qwen3-5-9bPOST /v1/chat/completionsPOST /v1/responsesPOST /v1/messagesPOST /v1/completionsLive pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.
Qwen3.5 9B serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id qwen3-5-9b. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/chat/completions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3-5-9b",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'from openai import OpenAI
client = OpenAI(
base_url="https://api.empiriolabs.ai/v1",
api_key="YOUR_EMPIRIOLABS_API_KEY",
)
response = client.chat.completions.create(
model="qwen3-5-9b",
messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)Request parameters supported by the Qwen3.5 9B API on EmpirioLabs. Defaults apply when a field is omitted.
| Parâmetro | Tipo | Padrão | Intervalo / valores | Descrição |
|---|---|---|---|---|
| temperature | number | 0.7 | 0 to 2 | Sampling temperature. 0 is deterministic and 2 is maximum randomness. |
| top_p | number | 0.95 | 0 to 1 | Nucleus sampling probability mass. Lower values make outputs more focused. |
| max_tokens | integer | 4096 | 1 to 32768 | Maximum output tokens. |
| stop | string | - | - | Up to 4 strings where the model will stop generating further tokens. |
| reasoning_effort | enum | medium | none, low, medium, high, max | Reasoning effort. none disables thinking; low, medium, high, and max set bounded thinking budgets. |
| enable_thinking | boolean | true | - | Enable the model reasoning channel before final output. |
| thinking_budget | integer | 4096 | 1024 to 32768 | Maximum thinking tokens before the final answer. If max_tokens is lower, the service reserves room for the answer. |
| top_k | integer | 20 | 1 to 200 | Limit sampling to the top K candidate tokens when supported. |
| min_p | number | 0 | 0 to 1 | Minimum probability threshold for token sampling. |
| presence_penalty | number | 0 | -2 to 2 | Penalty for tokens that already appeared in the generated text. |
| frequency_penalty | number | 0 | -2 to 2 | Penalty based on how often a token has already appeared. |
| repetition_penalty | number | 1 | 0.1 to 2 | Penalty used by SGLang to reduce repeated text. |
| seed | integer | - | 0 to 2147483647 | Optional random seed for reproducible sampling. |
| logprobs | boolean | false | - | Return token log probabilities when supported. |
Suporta entrada de texto, imagem e vídeo, streaming, ferramentas de função, saída JSON estruturada, controle de sementes e modo de pensamento por padrão. Use raciocination effort ou thinking budget para o pensamento limitado, ou ative thinking=false para respostas diretas. As leituras de cache automáticas são cobradas pela taxa de entrada em cache quando relatadas pelo serviço do modelo. Os controles de cache explícitos não são suportados.
On EmpirioLabs, Qwen3.5 9B is billed pay as you go: Entrada $0.09 (was $0.10) por fichas de alerta de 1M; Saída $0.13 (was $0.15) por tokens gerados 1M; Leu a 'cache' implícita $0.045 por fichas de entrada em cache de 1M. The live rate card on this page always matches what the API charges.
Qwen3.5 9B supports a 256K-token context window with up to 32,768 output tokens per response.
Yes. Qwen3.5 9B serves the OpenAI-compatible Chat Completions API, so existing OpenAI SDKs work by pointing base_url at https://api.empiriolabs.ai/v1 and setting the model id to qwen3-5-9b.
Yes. The EmpirioLabs playground runs Qwen3.5 9B in the browser with the same parameters the API exposes, so you can test prompts before writing code.
Create an EmpirioLabs account, then generate a key under API Keys in the dashboard. Billing is pay-as-you-go credits, so you only pay for the requests you make.
Check out our pricing or reach out if you want your own model deployed on our stack.
