Endpoint coverage
Exposes 1 public endpoint(s): chat_completion.
Small open-weight Qwen3.5 vision MoE (3B active); 256K context; OpenAI-compatible API
# Base URL
https://runapi.ai
# Endpoints
POST /v1/chat/completions
POST /v1/responses
POST /v1/messages
POST /v1beta/models/qwen3.5-35b-a3b:generateContent
POST /v1beta/models/qwen3.5-35b-a3b:streamGenerateContent
curl https://runapi.ai/v1/chat/completions \
-H "Authorization: Bearer $RUNAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3.5-35b-a3b",
"messages": [
{
"role": "user",
"content": "Read this screenshot of a failing dashboard, explain what the error message means, and suggest the code change that would fix it."
}
]
}'
from openai import OpenAI
client = OpenAI(
base_url="https://runapi.ai/v1",
api_key="your-runapi-key"
)
response = client.chat.completions.create(
model="qwen3.5-35b-a3b",
messages=[{"role": "user", "content": "Read this screenshot of a failing dashboard, explain what the error message means, and suggest the code change that would fix it."}]
)
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://runapi.ai/v1",
apiKey: "your-runapi-key"
});
const response = await client.chat.completions.create({
model: "qwen3.5-35b-a3b",
messages: [{ role: "user", content: "Read this screenshot of a failing dashboard, explain what the error message means, and suggest the code change that would fix it." }]
});
9 versions available
Qwen3.5-35B-A3B is the small Mixture-of-Experts model of Alibaba's Qwen3.5 Medium series, released with open weights under Apache 2.0 on February 24, 2026. It is a native vision-language model with hybrid linear attention, 35B total parameters, and 3B active per token. Alibaba rates its overall performance as comparable to Qwen3.5-27B.
It is a hybrid model with thinking on by default, a 262,144-token context window, and up to 65,536 output tokens. Alibaba lists function calling and structured outputs as supported.
On RunAPI, call qwen3.5-35b-a3b through the OpenAI-compatible Chat Completions endpoint (/v1/chat/completions) with an OpenAI SDK pointed at https://runapi.ai/v1. Images go in image_url parts inside messages[].content[].
Pick any model and generate in seconds.
| Provider | Alibaba |
| Model ID | qwen3.5-35b-a3b |
| Modality | Text |
| Task types | Synchronous |
| API endpoint | /v1/chat/completions |
| /v1/responses |
| /v1/messages | |
| /v1beta/models/qwen3.5-35b-a3b:generateContent | |
| /v1beta/models/qwen3.5-35b-a3b:streamGenerateContent | |
| Billing unit | 1K tokens |
| Catalog status | Operational |
Sign up for free and create an API key for qwen3.5-35b-a3b from the dashboard.
POST to /v1/chat/completions with the qwen3.5-35b-a3b model slug and your parameters.
Read the completed qwen3.5-35b-a3b response directly from the endpoint.
Exposes 1 public endpoint(s): chat_completion.
Metered by 1K tokens with no subscription requirement.
No request parameters are published for this endpoint.
Answer customer questions from a private knowledge base, reducing ticket volume.
Draft contract summaries and flag key clauses for attorney review.
Auto-generate unit tests, code reviews, and refactoring suggestions in CI.
Verified customer feedback is not available for this model yet.
It means 3B active parameters. The model has 35B parameters in total, and its Mixture-of-Experts router uses 3B of them for each token.
Qwen3.6-35B-A3B directly succeeds this model with the same 35B / 3B active size. Alibaba reports large gains for the 3.6 model in agentic coding, math and code reasoning, spatial intelligence, and object detection.
Yes. Alibaba lists function calling and structured outputs as supported. On RunAPI, send tools in the OpenAI format on Chat Completions and read tool_calls from the response.
Yes. It is a native vision-language model. Send image_url parts with the text in a Chat Completions request. Alibaba also lists video input; video requests are not verified on RunAPI.
Pass the model ID shown in the quickstart.
Per-key rate limits scale with your usage tier. The pricing page shows current limits. If you need higher throughput, contact support to discuss tier upgrades.
Yes. Variant is a parameter in the request. Switch by changing the model ID — no code changes, no re-authentication, no separate billing setup. All variants share the same API key and request shape.
Where streaming is available, RunAPI streams end-to-end. LLM models support token-level streaming. Media models use async task polling or webhook callbacks for result delivery.
Open an issue on the public GitHub repo or email support at [email protected]. Include the task ID and model ID so the team can investigate the specific generation.
No. Your RunAPI API key is enough to access this variant and every other model in the catalog. You do not need accounts with the underlying provider.
We're here to help with enterprise setup, integrations, and technical questions.
Contact Us