Alibaba

Qwen3.5-122B-A10B

Text

Open-weight Qwen3.5 vision MoE (10B active); 256K context; OpenAI-compatible API

Input $0.40 / 1M tokens | Output $3.20 / 1M tokens Qwen3.5-122B-A10B API reference →
Model health Insufficient data
runapi.ai
# Base URL
https://runapi.ai

# Endpoints
POST /v1/chat/completions
POST /v1/responses
POST /v1/messages
POST /v1beta/models/qwen3.5-122b-a10b:generateContent
POST /v1beta/models/qwen3.5-122b-a10b:streamGenerateContent
curl https://runapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $RUNAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "qwen3.5-122b-a10b",
  "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="qwen3.5-122b-a10b",
    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: "qwen3.5-122b-a10b",
  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." }]
});
https://runapi.ai 5 endpoints
OVERVIEW

What Qwen3.5-122B-A10B is built for

Qwen3.5-122B-A10B is a native vision-language model from Alibaba's Qwen3.5 Medium series, released with open weights under Apache 2.0 on February 24, 2026. It is a Mixture-of-Experts model with hybrid linear attention, 122B total parameters, and 10B active per token. Alibaba ranks it second in the Qwen3.5 generation, behind Qwen3.5-397B-A17B.

Alibaba says its text capability exceeds Qwen3-235B-2507 and its vision capability exceeds Qwen3-VL-235B. It is a hybrid model with thinking on by default, a 262,144-token context window, and up to 65,536 output tokens. Function calling and structured outputs are supported.

On RunAPI, call qwen3.5-122b-a10b 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[].

Model ID
qwen3.5-122b-a10b
Released
February 24, 2026
Architecture
MoE, 122B total / 10B active, Apache 2.0 weights
Context window
262,144 tokens
Max output
65,536 tokens
Thinking
Hybrid, on by default
Endpoint on RunAPI
OpenAI Chat Completions, text and image input
Playground

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Estimated: Input $0.40 / 1M tokens | Output $3.20 / 1M tokens

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Specifications

Technical details

Provider Alibaba
Model ID qwen3.5-122b-a10b
Modality Text
Task types Synchronous
API endpoint /v1/chat/completions
/v1/responses
/v1/messages
/v1beta/models/qwen3.5-122b-a10b:generateContent
/v1beta/models/qwen3.5-122b-a10b:streamGenerateContent
Billing unit 1K tokens
Catalog status Operational
HOW IT WORKS

Use This Model in 3 Steps

  1. Get Your Key

    Sign up for free and create an API key for qwen3.5-122b-a10b from the dashboard.

  2. Send a Request

    POST to /v1/chat/completions with the qwen3.5-122b-a10b model slug and your parameters.

  3. Get Results

    Read the completed qwen3.5-122b-a10b response directly from the endpoint.

What this model offers

Endpoint coverage

Exposes 1 public endpoint(s): chat_completion.

Usage-based billing

Metered by 1K tokens with no subscription requirement.

Qwen3.5-122B-A10B Pricing

Endpoint
Price
chat_completion
Input: $0.40 / 1M tokens Output: $3.20 / 1M tokens
API REFERENCE

Endpoint Specification

Endpoint
POST /v1/chat/completions
Model ID
qwen3.5-122b-a10b
Task Types
chat_completion

Request parameters

No request parameters are published for this endpoint.

USE CASES

Customer support

Answer customer questions from a private knowledge base, reducing ticket volume.

Document analysis

Draft contract summaries and flag key clauses for attorney review.

Code generation

Auto-generate unit tests, code reviews, and refactoring suggestions in CI.

Usage metrics

Trusted by developers
6
API Calls / Day
100.0%
Success Rate
3.1s
Avg Generation

Verified customer feedback is not available for this model yet.

FAQ

Frequently asked questions about Qwen3.5-122B-A10B

How does Qwen3.5-122B-A10B compare with Qwen3.5-397B-A17B?

Alibaba ranks the 122B model second only to the 397B flagship. It activates 10B parameters per token against 17B for the flagship. Both have a 262,144-token context window, image input, and hybrid thinking.

Can Qwen3.5-122B-A10B replace Qwen3-VL-235B for image tasks?

Alibaba says the vision capability of Qwen3.5-122B-A10B exceeds Qwen3-VL-235B, and it also has twice the context window. Test it on your own images before you move a production workload.

Does Qwen3.5-122B-A10B think before answering?

By default, yes. It has thinking and non-thinking modes, and Alibaba's API turns thinking on unless the request switches it off. Thinking makes responses longer, so allow more time on sync requests.

Which API do I use to call Qwen3.5-122B-A10B?

Use RunAPI's OpenAI-compatible Chat Completions endpoint at https://runapi.ai/v1/chat/completions with your RunAPI API key and model set to qwen3.5-122b-a10b. Tools use the standard OpenAI tools format.

How do I select qwen3.5-122b-a10b?

Pass the model ID shown in the quickstart.

What's the rate limit on this variant?

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.

Can I switch variants later?

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.

Does it stream?

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.

Where do I report quality issues?

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.

Do I need a separate provider account?

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.

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