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Description

Nexusflow has unveiled Athene-V2, its newest model suite boasting 72 billion parameters, which has been meticulously fine-tuned from Qwen 2.5 72B to rival the capabilities of GPT-4o. Within this suite, Athene-V2-Chat-72B stands out as a cutting-edge chat model that performs comparably to GPT-4o across various benchmarks; it excels particularly in chat helpfulness (Arena-Hard), ranks second in the code completion category on bigcode-bench-hard, and demonstrates strong abilities in mathematics (MATH) and accurate long log extraction. Furthermore, Athene-V2-Agent-72B seamlessly integrates chat and agent features, delivering clear and directive responses while surpassing GPT-4o in Nexus-V2 function calling benchmarks, specifically tailored for intricate enterprise-level scenarios. These innovations highlight a significant industry transition from merely increasing model sizes to focusing on specialized customization, showcasing how targeted post-training techniques can effectively enhance models for specific skills and applications. As technology continues to evolve, it becomes essential for developers to leverage these advancements to create increasingly sophisticated AI solutions.

Description

Qwen3-Coder is a versatile coding model that comes in various sizes, prominently featuring the 480B-parameter Mixture-of-Experts version with 35B active parameters, which naturally accommodates 256K-token contexts that can be extended to 1M tokens. This model achieves impressive performance that rivals Claude Sonnet 4, having undergone pre-training on 7.5 trillion tokens, with 70% of that being code, and utilizing synthetic data refined through Qwen2.5-Coder to enhance both coding skills and overall capabilities. Furthermore, the model benefits from post-training techniques that leverage extensive, execution-guided reinforcement learning, which facilitates the generation of diverse test cases across 20,000 parallel environments, thereby excelling in multi-turn software engineering tasks such as SWE-Bench Verified without needing test-time scaling. In addition to the model itself, the open-source Qwen Code CLI, derived from Gemini Code, empowers users to deploy Qwen3-Coder in dynamic workflows with tailored prompts and function calling protocols, while also offering smooth integration with Node.js, OpenAI SDKs, and environment variables. This comprehensive ecosystem supports developers in optimizing their coding projects effectively and efficiently.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Alibaba Cloud No 
Brokk No 
GPT-4o Yes 
Gemini No 
Gemini Enterprise No 
Nebius Token Factory No 
NexaSDK No 
Nexusflow Yes 
Node.js No 
Okara No 
OpenAI No 
OpenClaw No 
OpenCode No 
Oxlo.ai No 
Qwen Yes 
Qwen2.5 No 
Shiori No 
SiliconFlow No 
Tinfoil No 
Together AI No 

Integrations

Alibaba Cloud Yes 
Brokk Yes 
GPT-4o No 
Gemini Yes 
Gemini Enterprise Yes 
Nebius Token Factory Yes 
NexaSDK Yes 
Nexusflow No 
Node.js Yes 
Okara Yes 
OpenAI Yes 
OpenClaw Yes 
OpenCode Yes 
Oxlo.ai Yes 
Qwen No 
Qwen2.5 Yes 
Shiori Yes 
SiliconFlow Yes 
Tinfoil Yes 
Together AI 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

Nexusflow

Country

United States

Website

nexusflow.ai/blogs/athene-v2

Vendor Details

Company Name

Qwen

Founded

2023

Country

China

Website

qwenlm.github.io/blog/qwen3-coder/

Product Features

Product Features

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