Qwen: Tongyi DeepResearch 30B A3B

qwen/tongyi-deepresearch-30b-a3b

Tongyi DeepResearch is an agentic large language model developed by Tongyi Lab, with 30 billion total parameters activating only 3 billion per token. It's optimized for long-horizon, deep information-seeking tasks and delivers state-of-the-art performance on benchmarks like Humanity's Last Exam, BrowserComp, BrowserComp-ZH, WebWalkerQA, GAIA, xbench-DeepSearch, and FRAMES. This makes it superior for complex agentic search, reasoning, and multi-step problem-solving compared to prior models. The model includes a fully automated synthetic data pipeline for scalable pre-training, fine-tuning, and reinforcement learning. It uses large-scale continual pre-training on diverse agentic data to boost reasoning and stay fresh. It also features end-to-end on-policy RL with a customized Group Relative Policy Optimization, including token-level gradients and negative sample filtering for stable training. The model supports ReAct for core ability checks and an IterResearch-based 'Heavy' mode for max performance through test-time scaling. It's ideal for advanced research agents, tool use, and heavy inference workflows.

Model specifications

Input
text
Output
text
Context
131,072 tokens
Max output
131,100 tokens
Input price
$0.09 / 1M tokens
Output price
$0.45 / 1M tokens
Released
2026-03-04

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

1 available provider · tier input average $0.09 / 1M tokens · tier output average $0.45 / 1M tokens

AtlasCloud

Tier: Standard · Region: US

Pricing
Input
$0.09 / 1M tokens
Output
$0.45 / 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

Frequently asked questions

What is Qwen: Tongyi DeepResearch 30B A3B?
Tongyi DeepResearch is an agentic large language model developed by Tongyi Lab, with 30 billion total parameters activating only 3 billion per token. It's optimized for long-horizon, deep information-seeking tasks and delivers state-of-the-art performance on benchmarks like Humanity's Last Exam, BrowserComp, BrowserComp-ZH, WebWalkerQA, GAIA, xbench-DeepSearch, and FRAMES. This makes it superior for complex agentic search, reasoning, and multi-step problem-solving compared to prior models. The model includes a fully automated synthetic data pipeline for scalable pre-training, fine-tuning, and reinforcement learning. It uses large-scale continual pre-training on diverse agentic data to boost reasoning and stay fresh. It also features end-to-end on-policy RL with a customized Group Relative Policy Optimization, including token-level gradients and negative sample filtering for stable training. The model supports ReAct for core ability checks and an IterResearch-based 'Heavy' mode for max performance through test-time scaling. It's ideal for advanced research agents, tool use, and heavy inference workflows.
How much does Qwen: Tongyi DeepResearch 30B A3B cost?
Input costs start at $0.09 / 1M tokens and output costs start at $0.45 / 1M tokens. Provider-level prices vary by service tier.
What is the context length of Qwen: Tongyi DeepResearch 30B A3B?
Qwen: Tongyi DeepResearch 30B A3B supports a 131,072 token context window and up to 131,100 output tokens.
What capabilities does Qwen: Tongyi DeepResearch 30B A3B support?
Qwen: Tongyi DeepResearch 30B A3B supports Streaming, Playground.
Which providers offer Qwen: Tongyi DeepResearch 30B A3B?
Qwen: Tongyi DeepResearch 30B A3B is available from AtlasCloud.
How do providers handle data privacy for Qwen: Tongyi DeepResearch 30B A3B?
1 of 1 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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