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Description

AgentBench serves as a comprehensive evaluation framework tailored to measure the effectiveness and performance of autonomous AI agents. It features a uniform set of benchmarks designed to assess various dimensions of an agent's behavior, including their proficiency in task-solving, decision-making, adaptability, and interactions with simulated environments. By conducting evaluations on tasks spanning multiple domains, AgentBench aids developers in pinpointing both the strengths and limitations in the agents' performance, particularly regarding their planning, reasoning, and capacity to learn from feedback. This framework provides valuable insights into an agent's capability to navigate intricate scenarios that mirror real-world challenges, making it beneficial for both academic research and practical applications. Ultimately, AgentBench plays a crucial role in facilitating the ongoing enhancement of autonomous agents, ensuring they achieve the required standards of reliability and efficiency prior to their deployment in broader contexts. This iterative assessment process not only fosters innovation but also builds trust in the performance of these autonomous systems.

Description

Qwen3-Coder is an advanced code model that comes in various sizes, prominently featuring the 480B-parameter Mixture-of-Experts version (with 35B active) that inherently accommodates 256K-token contexts, which can be extended to 1M, and demonstrates cutting-edge performance in Agentic Coding, Browser-Use, and Tool-Use activities, rivaling Claude Sonnet 4. With a pre-training phase utilizing 7.5 trillion tokens (70% of which are code) and synthetic data refined through Qwen2.5-Coder, it enhances both coding skills and general capabilities, while its post-training phase leverages extensive execution-driven reinforcement learning across 20,000 parallel environments to excel in multi-turn software engineering challenges like SWE-Bench Verified without the need for test-time scaling. Additionally, the open-source Qwen Code CLI, derived from Gemini Code, allows for the deployment of Qwen3-Coder in agentic workflows through tailored prompts and function calling protocols, facilitating smooth integration with platforms such as Node.js and OpenAI SDKs. This combination of robust features and flexible accessibility positions Qwen3-Coder as an essential tool for developers seeking to optimize their coding tasks and workflows.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Alibaba AI Coding Plan No 
Claude Fable 5 No 
Claude Fable 5.1 No 
Claude Fable 5.5 No 
Claude Opus 4.1 No 
Claude Opus 4.7 No 
Claude Opus 4.8 No 
Claude Opus 5 No 
Claude Sonnet 4 No 
Claude Sonnet 4.6 No 
Claude Sonnet 5.5 No 
Qwen 4 No 
Qwen2.5 No 
Qwen3.7-Max No 
Qwen3.8-2.4T-A95B No 
Qwen3.8-27B No 
Qwen3.8-Flash-Next No 
Qwen3.8-Max No 
Qwen3.8-Omni-Flash No 
QwenCloud No 

Integrations

Alibaba AI Coding Plan Yes 
Claude Fable 5 Yes 
Claude Fable 5.1 Yes 
Claude Fable 5.5 Yes 
Claude Opus 4.1 Yes 
Claude Opus 4.7 Yes 
Claude Opus 4.8 Yes 
Claude Opus 5 Yes 
Claude Sonnet 4 Yes 
Claude Sonnet 4.6 Yes 
Claude Sonnet 5.5 Yes 
Qwen 4 Yes 
Qwen2.5 Yes 
Qwen3.7-Max Yes 
Qwen3.8-2.4T-A95B Yes 
Qwen3.8-27B Yes 
Qwen3.8-Flash-Next Yes 
Qwen3.8-Max Yes 
Qwen3.8-Omni-Flash Yes 
QwenCloud Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

AgentBench

Country

China

Website

llmbench.ai/agent

Vendor Details

Company Name

Qwen

Founded

2023

Country

China

Website

github.com/QwenLM/qwen-code

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Product Features

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