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Description

Gemini 3.8 Flash stands out as Google's most advanced model for Flash, offering substantial enhancements compared to version 3.7 in areas such as software engineering, agent-based tasks, and intricate multi-step reasoning within specialized fields. Designed for extended coding projects and autonomous agents, it adeptly addresses complex engineering challenges in a comprehensive manner, ensuring the reliability essential for critical enterprise autonomy in specialized knowledge areas. This model excels particularly in quantitative and professional disciplines that demand sophisticated analysis and reporting, as well as in multi-step reasoning tasks spanning STEM, humanities, and professional domains. The improvements it showcases arise from a fundamental design decision: Gemini 3.8 Flash intensifies its focus on challenging tasks by conducting additional reasoning steps and utilizing tools iteratively, thus optimizing its performance. When operating at higher effort levels, it may consume more tokens to achieve superior outcomes, while developers also have the option to adjust to lower effort levels for varied results. Overall, this flexibility allows for tailored use based on project needs and desired outcomes.

Description

In honor of Archimedes, whose 2311th anniversary we celebrate this year, we are excited to introduce our inaugural Mathstral model, a specialized 7B architecture tailored for mathematical reasoning and scientific exploration. This model features a 32k context window and is released under the Apache 2.0 license. Our intention behind contributing Mathstral to the scientific community is to enhance the pursuit of solving advanced mathematical challenges that necessitate intricate, multi-step logical reasoning. The launch of Mathstral is part of our wider initiative to support academic endeavors, developed in conjunction with Project Numina. Much like Isaac Newton during his era, Mathstral builds upon the foundation laid by Mistral 7B, focusing on STEM disciplines. It demonstrates top-tier reasoning capabilities within its category, achieving remarkable results on various industry-standard benchmarks. Notably, it scores 56.6% on the MATH benchmark and 63.47% on the MMLU benchmark, showcasing the performance differences by subject between Mathstral 7B and its predecessor, Mistral 7B, further emphasizing the advancements made in mathematical modeling. This initiative aims to foster innovation and collaboration within the mathematical community.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

.NET Yes 
Airtrain No 
Amazon Bedrock No 
Arize Phoenix No 
Bash Yes 
C# Yes 
C++ Yes 
Factory Droid Yes 
Gemini Enterprise Agent Platform Yes 
Google AI Overviews Yes 
Kubernetes Yes 
Langflow No 
LibreChat No 
Literal AI No 
Lua Yes 
Lunary No 
Melies No 
Mistral AI No 
Overseer AI No 
Solidity Yes 

Integrations

.NET No 
Airtrain Yes 
Amazon Bedrock Yes 
Arize Phoenix Yes 
Bash No 
C# No 
C++ No 
Factory Droid No 
Gemini Enterprise Agent Platform No 
Google AI Overviews No 
Kubernetes No 
Langflow Yes 
LibreChat Yes 
Literal AI Yes 
Lua No 
Lunary Yes 
Melies Yes 
Mistral AI Yes 
Overseer AI Yes 
Solidity No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Open source
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 Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Google

Country

United States

Website

google.com

Vendor Details

Company Name

Mistral AI

Founded

2023

Country

France

Website

mistral.ai/news/mathstral/

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