Qwen: Qwen3 30B A3B✓ Catalog verified
Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique...
Overview
Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique...
Access: available through the official Qwen API. Context window: 131K.
Specifications
| API identifier | qwen/qwen3-30b-a3b |
| Provider | Qwen |
| Model type | Text LLM |
| Context window | 131K catalog |
| Input modalities | text |
| Output modalities | text |
| Released | Apr 28, 2025 |
| Tokenizer | Qwen3 |
| Instruction format | qwen3 |
| Moderated | No |
| Architecture modality | text->text |
API defaults
{
"top_p": null,
"temperature": null,
"frequency_penalty": null
}Pricing
Live pricing components for qwen/qwen3-30b-a3b as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $1.2e-7 | $0.12 / 1M | Per input token |
| Completion tokens | $5e-7 | $0.50 / 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
$0.16Calculated 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 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",
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 |
|---|---|---|---|---|
| AionLabs: Aion-1.0 | Aion Labs | 131K | $4.00 | View → |
| AionLabs: Aion-1.0-Mini | Aion Labs | 131K | $0.70 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Qwen: Qwen3 30B A3B cost?
$0.12 per 1M input tokens and $0.50 per 1M output tokens on the official Qwen API.
What is the context window of Qwen: Qwen3 30B A3B?
Qwen: Qwen3 30B A3B supports up to 131K tokens of context.
Does Qwen: Qwen3 30B A3B support tool / function calling?
Yes, Qwen: Qwen3 30B A3B supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access Qwen: Qwen3 30B A3B?
Use the official Qwen API with the model id `qwen/qwen3-30b-a3b`. See the Quick start section above for code examples.