Moduck

Alibaba: Qwen3 235B-A22B Instruct 2507

Updated large open Qwen3 MoE instruct model for multilingual chat, coding, and tool use

Model lab
Alibaba
Model family
qwen

Model resources

Modalitiestext → text
Context window262,144
Maximum output16,384
InputUSD 0.104 / 1M tokens
OutputUSD 0.4 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to alibaba/qwen3-235b-a22b-instruct-2507.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "alibaba/qwen3-235b-a22b-instruct-2507"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Qwen3 235B-A22B Instruct 2507 API Pricing

TypePrice information
InputUSD 0.104 / 1M tokens
OutputUSD 0.4 / 1M tokens
Cached inputUSD 0.052 / 1M tokens

Benchmarks

Intelligence Index · v4.312
Coding Index—
Agentic Index—

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Artificial Analysis measurement

Output speed48.43 tokens/s
Time to first token1.27 s
Time to first answer token—
End-to-end response time—

Performance trends

Throughput48.43 tok/sCurrent
Time to first token1.27 sCurrent
End-to-end latency7.8 sCurrent
Throughput
Current48.43 tok/s
Window average46.4 tok/s
Time to first token
Current1.27 s
Window average1.4 s
End-to-end latency
Current7.8 s
Window average7.5 s
Tail latency (P99)
Current14.1 s
Window average17.1 s
Prompt cache hit rate
Current19.3%
Window average24.5%
Error rate
Current0.0%
Window average0.2%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

Qwen3 235B-A22B Instruct 2507 Compare models

ModelInput priceOutput priceContext windowCapabilities
Qwen3 235B-A22B Instruct 2507This pageUSD 0.104 / 1M tokensUSD 0.4 / 1M tokens262,144Text output · Tool calling
Qwen3.8 2.4T A95BUSD 1.56 / 1M tokensUSD 4.56 / 1M tokens262,144Text output · Reasoning · Tool calling
Qwen3.7 MaxUSD 0.66 / 1M tokensUSD 1.9804 / 1M tokens1,000,000Text output · Reasoning · Tool calling
Qwen3.6 Max PreviewUSD 1.72 / 1M tokensUSD 10.288 / 1M tokens262,144Text output · Reasoning · Tool calling
Qwen3 Coder NextUSD 0.0864 / 1M tokensUSD 0.54 / 1M tokens262,144Text output · Tool calling

Model specifications

Input
text
Output
text
Context window
262,144
Maximum output
16,384
Release date
2025-07-21
Attachments
No
Reasoning
No
Tool calling
Yes
Temperature setting
Yes
Open weights
Yes

Frequently asked questions

What is Qwen3 235B-A22B Instruct 2507 for?

Updated large open Qwen3 MoE instruct model for multilingual chat, coding, and tool use

What inputs and outputs does Qwen3 235B-A22B Instruct 2507 support?

Recorded inputs: text; outputs: text.

How is Qwen3 235B-A22B Instruct 2507 priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.104 / 1M tokens; Output USD 0.4 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Qwen3 235B-A22B Instruct 2507?

Current model records list Context window 262,144 tokens; Maximum output 16,384 tokens.

What model parameter does the Quickstart use?

The example uses alibaba/qwen3-235b-a22b-instruct-2507. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.