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What is Phi-4-reasoning-plus?
Phi-4-reasoning-plus is an enhanced reasoning model that boasts 14 billion parameters, significantly improving upon the capabilities of the original Phi-4-reasoning. Utilizing reinforcement learning, it achieves greater inference efficiency by processing 1.5 times the number of tokens that its predecessor could manage, leading to enhanced accuracy in its outputs. Impressively, this model surpasses both OpenAI's o1-mini and DeepSeek-R1 on various benchmarks, tackling complex challenges in mathematical reasoning and high-level scientific questions. In a remarkable feat, it even outshines the much larger DeepSeek-R1, which contains 671 billion parameters, in the esteemed AIME 2025 assessment, a key qualifier for the USA Math Olympiad. Additionally, Phi-4-reasoning-plus is readily available on platforms such as Azure AI Foundry and HuggingFace, streamlining access for developers and researchers eager to utilize its advanced features. Its cutting-edge design not only showcases its capabilities but also establishes it as a formidable player in the competitive landscape of reasoning models. This positions Phi-4-reasoning-plus as a preferred choice for users seeking high-performance reasoning solutions.
What is Mathstral?
This year marks the 2311th anniversary of Archimedes, and in his honor, we are thrilled to unveil our first Mathstral model, a dedicated 7B architecture crafted specifically for mathematical reasoning and scientific inquiry. With a context window of 32k, this model is made available under the Apache 2.0 license. Our goal in sharing Mathstral with the scientific community is to facilitate the tackling of complex mathematical problems that require sophisticated, multi-step logical reasoning. The introduction of Mathstral aligns with our broader initiative to bolster academic efforts, developed alongside Project Numina. Much like Isaac Newton's contributions during his lifetime, Mathstral builds upon the groundwork established by Mistral 7B, with a keen focus on STEM fields. It showcases exceptional reasoning abilities within its domain, achieving impressive results across numerous industry-standard benchmarks. Specifically, it registers a score of 56.6% on the MATH benchmark and 63.47% on the MMLU benchmark, highlighting the performance enhancements in comparison to its predecessor, Mistral 7B, and underscoring the strides made in mathematical modeling. In addition to advancing individual research, this initiative seeks to inspire greater innovation and foster collaboration within the mathematical community as a whole.
Integrations Supported
Hugging Face
AiAssistWorks
AlphaCorp
Arize Phoenix
BlueGPT
Echo AI
HoneyHive
Memo AI
MindMac
Mistral AI
Integrations Supported
Hugging Face
AiAssistWorks
AlphaCorp
Arize Phoenix
BlueGPT
Echo AI
HoneyHive
Memo AI
MindMac
Mistral AI
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Free
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/blog/one-year-of-phi-small-language-models-making-big-leaps-in-ai/
Company Facts
Organization Name
Mistral AI
Date Founded
2023
Company Location
France
Company Website
mistral.ai/news/mathstral/