DeepScaleR vs. Qwen3 Comparison


DeepScaleR Agentica Project	Qwen3 Alibaba	+	+
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About DeepScaleR is a 1.5-billion-parameter language model fine-tuned from DeepSeek-R1-Distilled-Qwen-1.5B using distributed reinforcement learning and a novel iterative context-lengthening strategy that gradually increases its context window from 8K to 24K tokens during training. It was trained on ~40,000 carefully curated mathematical problems drawn from competition-level datasets like AIME (1984–2023), AMC (pre-2023), Omni-MATH, and STILL. DeepScaleR achieves 43.1% accuracy on AIME 2024, a roughly 14.3 percentage point boost over the base model, and surpasses the performance of the proprietary O1-Preview model despite its much smaller size. It also posts strong results on a suite of math benchmarks (e.g., MATH-500, AMC 2023, Minerva Math, OlympiadBench), demonstrating that small, efficient models tuned with RL can match or exceed larger baselines on reasoning tasks.	About Qwen3, the latest iteration of the Qwen family of large language models, introduces groundbreaking features that enhance performance across coding, math, and general capabilities. With models like the Qwen3-235B-A22B and Qwen3-30B-A3B, Qwen3 achieves impressive results compared to top-tier models, thanks to its hybrid thinking modes that allow users to control the balance between deep reasoning and quick responses. The platform supports 119 languages and dialects, making it an ideal choice for global applications. Its pre-training process, which uses 36 trillion tokens, enables robust performance, and advanced reinforcement learning (RL) techniques continue to refine its capabilities. Available on platforms like Hugging Face and ModelScope, Qwen3 offers a powerful tool for developers and researchers working in diverse fields.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Supported iPad Supported Android Supported Chromebook Not Supported
Audience Researchers, students, and developers interested in an AI model capable of mathematical reasoning and logic tasks without requiring heavy hardware	Audience Developers, researchers, and AI enthusiasts looking for a powerful, flexible language model with advanced reasoning capabilities and multilingual support for a variety of applications
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing Free Open source Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Agentica Project Founded: 2025 United States agentica-project.com	Company Information Alibaba Founded: 1999 China qwenlm.github.io/blog/qwen3/
Alternatives DeepCoder Agentica Project	Alternatives Amazon Nova 2 Lite Amazon
Phi-4-reasoning-plus Microsoft	Amazon Nova 2 Pro Amazon
Phi-4-mini-reasoning Microsoft	DeepSeek-V3.2-Speciale DeepSeek
Phi-4-reasoning Microsoft	Qwen3.5 Alibaba
Athene-V2 Nexusflow View All	Qwen3.8-Max Alibaba View All
Categories AI Models Supported Large Language Models Supported	Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported Large Language Models Supported Open-Weight AI Models Supported

Integrations AiAssistWorks Not Supported BaseRT Not Supported C# Not Supported Fireworks AI Not Supported Hugging Face Not Supported Hyperbolic Not Supported Julia Not Supported Kaggle Not Supported LFM2 Not Supported LM-Kit.NET Not Supported Lorka Not Supported Okara Not Supported OpenClaw Not Supported Phala Not Supported Qwen Studio Not Supported Rust Not Supported Scala Not Supported SiliconFlow Not Supported Tinker Not Supported kluster.ai Not Supported Show More Integrations	Integrations AiAssistWorks Supported BaseRT Supported C# Supported Fireworks AI Supported Hugging Face Supported Hyperbolic Supported Julia Supported Kaggle Supported LFM2 Supported LM-Kit.NET Supported Lorka Supported Okara Supported OpenClaw Supported Phala Supported Qwen Studio Supported Rust Supported Scala Supported SiliconFlow Supported Tinker Supported kluster.ai Supported Show More Integrations View All 51 Integrations
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