Qwen3 235B A22B Instruct 2507 — Alibaba | Modeldex

Qwen3 235B A22B Instruct 2507

Active

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...

Updated 4 days agoStructured data from Modeldex catalog

Long contextBudget

Knowledge cutoff

Jun 30, 2025(10 months ago)

API release

Jul 21, 2025(9 months ago)

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

Overview

History

Qwen3 235B A22B Instruct 2507 became available via the Alibaba API on 2025-07-21.

Training & availability

Training data has a knowledge cutoff of 2025-06-30 — information about events after that date is unlikely to appear in the model's responses. Alibaba has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 262K tokens.
Input modalities: text.

Recommended for: long-context, cheap.

Limitations

Text-only — cannot process images, audio, or video inputs.

Pricing

Input: $0.0710 per 1M tokens
Output: $0.1000 per 1M tokens

Use the cost calculator above to estimate monthly spend for your workload.

Quick start

Minimal example using the OpenRouter API. Copy, paste, replace the key.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="sk-or-...",
)
resp = client.chat.completions.create(
    model="alibaba/qwen3-235b-a22b-2507",
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $0.071/1M

Output tokens / month2.0M

@ $0.1/1M

Input cost

$0.355

5.0M × $0.071/1M

Output cost

$0.2

2.0M × $0.1/1M

Total / month

$0.555

$6.66 / year

Popularity

Signals from open-source communities — not a quality measure, but useful for gauging adoption among developers.

🤗

HuggingFace downloads

165.6K/ month

HuggingFace likes

773

Integrations & tooling support

Tool calling: Not supported
Structured outputs: Not supported

Price vs quality

Budget pricing

Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.