Qwen: Qwen3 30B A3B Instruct 2507✓ Catalog verified
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
Overview
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
Access: available through the official Qwen API. Context window: 262K.
Specifications
| API identifier | qwen/qwen3-30b-a3b-instruct-2507 |
| Provider | Qwen |
| Model type | Text LLM |
| Context window | 262K catalog |
| Input modalities | text |
| Output modalities | text |
| Released | Jul 29, 2025 |
| Tokenizer | Qwen3 |
| Moderated | No |
| Architecture modality | text->text |
Pricing
Live pricing components for qwen/qwen3-30b-a3b-instruct-2507 as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $4.815e-8 | $0.05 / 1M | Per input token |
| Completion tokens | $1.9305e-7 | $0.19 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.06Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | Not advertised | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | ✓ Supported | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Qwen: Qwen3 30B A3B Instruct 2507 through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="qwen/qwen3-30b-a3b-instruct-2507",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| Arcee AI: Trinity Large Thinking | Arcee Ai | 262K | $0.25 | View → |
| ByteDance Seed: Seed 1.6 | Bytedance Seed | 262K | $0.25 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Qwen: Qwen3 30B A3B Instruct 2507 cost?
$0.05 per 1M input tokens and $0.19 per 1M output tokens on the official Qwen API.
What is the context window of Qwen: Qwen3 30B A3B Instruct 2507?
Qwen: Qwen3 30B A3B Instruct 2507 supports up to 262K tokens of context.
Does Qwen: Qwen3 30B A3B Instruct 2507 support tool / function calling?
Yes, Qwen: Qwen3 30B A3B Instruct 2507 supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access Qwen: Qwen3 30B A3B Instruct 2507?
Use the official Qwen API with the model id `qwen/qwen3-30b-a3b-instruct-2507`. See the Quick start section above for code examples.