Qwen: Qwen3 30B A3B Instruct 2507

qwen/qwen3-30b-a3b-instruct-2507

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 agentic tool use. Post-trained on instruction data, it demonstrates competitive performance across reasoning (AIME, ZebraLogic), coding (MultiPL-E, LiveCodeBench), and alignment (IFEval, WritingBench) benchmarks. It outperforms its non-instruct variant on subjective and open-ended tasks while retaining strong factual and coding performance.

Model specifications

Context
262,144 tokens
Max output
32,768 tokens
Input price
$0.1 / 1M tokens
Output price
$0.3 / 1M tokens
Released
2026-02-05

Capabilities

  • Streaming
  • Playground

Provider pricing, discounts and data privacy

Compare effective provider prices, published discounts, regions, retention policies, training use, compliance, and privacy links by service tier.

Standard service tier

2 available providers · tier input average $0.15 / 1M tokens · tier output average $0.55 / 1M tokens

AtlasCloud

Tier: Standard · Region: US

Pricing
Input
$0.1 / 1M tokens
Output
$0.3 / 1M tokens

No provider discount is currently published.

Data privacy and compliance
Region
US
Zero data retention
No
Data retention
7-day retention
Used for training
No
Data collection
Moderated
No
GDPR compliant
No
HIPAA compliant
No
SOC 2 certified
No
BYOK supported
No

Alibaba Cloud Int.(SG)

Tier: Standard · Region: SG · Quantization: int8

Pricing
Input
$0.2 / 1M tokens
Output
$0.8 / 1M tokens

No provider discount is currently published.

Data privacy and compliance
Region
SG
Zero data retention
No
Data retention
30-day retention
Used for training
No
Data collection
Moderated
Yes
GDPR compliant
Yes
HIPAA compliant
No
SOC 2 certified
Yes
BYOK supported
Yes

Frequently asked questions

What is Qwen: Qwen3 30B A3B Instruct 2507?
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 agentic tool use. Post-trained on instruction data, it demonstrates competitive performance across reasoning (AIME, ZebraLogic), coding (MultiPL-E, LiveCodeBench), and alignment (IFEval, WritingBench) benchmarks. It outperforms its non-instruct variant on subjective and open-ended tasks while retaining strong factual and coding performance.
How much does Qwen: Qwen3 30B A3B Instruct 2507 cost?
Input costs start at $0.1 / 1M tokens and output costs start at $0.3 / 1M tokens. Provider-level prices vary by service tier.
What is the context length of Qwen: Qwen3 30B A3B Instruct 2507?
Qwen: Qwen3 30B A3B Instruct 2507 supports a 262,144 token context window and up to 32,768 output tokens.
What capabilities does Qwen: Qwen3 30B A3B Instruct 2507 support?
Qwen: Qwen3 30B A3B Instruct 2507 supports Streaming, Playground.
Which providers offer Qwen: Qwen3 30B A3B Instruct 2507?
Qwen: Qwen3 30B A3B Instruct 2507 is available from AtlasCloud, Alibaba Cloud Int.(SG).
How do providers handle data privacy for Qwen: Qwen3 30B A3B Instruct 2507?
2 of 2 providers report that customer data is not used for training, and 0 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.

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