Tongyi DeepResearch 30B A3B

Alibaba Qwen chatreasoningtool_use

API ID: alibaba/tongyi-deepresearch-30b-a3b

Input Price
$0.09
/1M tokens
Output Price
$0.40
/1M tokens

About Tongyi DeepResearch 30B A3B

Tongyi DeepResearch is Alibaba's research-focused model, designed for comprehensive information synthesis. The model excels at complex research queries requiring extensive analysis. Tongyi DeepResearch demonstrates Alibaba's advancement in research AI. For applications requiring in-depth research capability, this model offers comprehensive analysis.

๐Ÿ’ฐ
Price Ranking
#366 lowest price among 599 Chat models

Model Specifications

Context Length
131k
Max Output
131k
Release Date
2025-09-18
Capabilities
chat reasoning tool_use
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.16
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$4.95
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$6.82
/month
500 analyses/day, ~2k tokens each

Alibaba Qwen Model Lineup

Compare all models from Alibaba Qwen to find the best fit

Model Input Output Context Capabilities
Tongyi DeepResearch 30B A3B Current Free Free 131k chat reasoning tool_use
Qwen2.5-VL 7B Instruct Free Free 33k chat vision tool_use
Qwen2.5 VL 3B Instruct Free Free 64k chat vision code
Qwen 2 7B Instruct Free Free 33k chat code
Qwen 2 72B Instruct Free Free 33k chat code
Qwen 1.5 72B Chat Free Free 33k chat code

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๐Ÿš€ Quick Start

Get started with Tongyi DeepResearch 30B A3B API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="alibaba/tongyi-deepresearch-30b-a3b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)