Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • TrustInSoft Analyzer Reviews & Ratings
    6 Ratings
    Company Website
  • ONLYOFFICE Docs Reviews & Ratings
    715 Ratings
    Company Website
  • Virtuoso QA Reviews & Ratings
    131 Ratings
    Company Website
  • TelemetryTV Reviews & Ratings
    280 Ratings
    Company Website
  • LALAL.AI Reviews & Ratings
    5,230 Ratings
    Company Website
  • LeaseAccounting.app Reviews & Ratings
    Company Website
  • NeuBird Reviews & Ratings
    2 Ratings
    Company Website
  • Parasoft Reviews & Ratings
    148 Ratings
    Company Website
  • Dialpad Support Reviews & Ratings
    1,600 Ratings
    Company Website
  • Buildium Reviews & Ratings
    2,545 Ratings
    Company Website

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.

What is Gemini 4?

Gemini 4 is Google’s next major Gemini model family, currently confirmed as being in pre-training rather than publicly released. The model follows recent Gemini releases such as Gemini 3.6 Flash and Gemini 3.5 Flash-Lite, which focused on efficiency, agentic workflows, coding, multimodal tasks, and lower-cost production AI. Google has described Gemini 4 as its most ambitious pre-training run yet, suggesting that it is intended to push the company’s frontier AI capabilities forward. As of now, Gemini 4 does not have an official public launch, model card, pricing page, API documentation, benchmark suite, or confirmed availability timeline. Because of that, any specific claims about context length, model sizes, exact capabilities, pricing, or release channels should be treated as unconfirmed until Google publishes official details. Based on Google’s current Gemini direction, Gemini 4 is expected to improve areas such as advanced reasoning, software engineering, multimodal understanding, AI agents, knowledge work, and enterprise AI workflows. It may eventually power products across the Gemini app, Gemini API, Google AI Studio, Gemini Enterprise, Google Cloud, and other Google services. The model is also likely to be important for developers building production AI systems that need reliable reasoning, tool use, speed, and scalable deployment options. For enterprises, Gemini 4 could become a foundation for AI assistants, workflow automation, document analysis, code generation, customer support, and internal knowledge tools. For now, the best way to describe Gemini 4 is as Google’s confirmed next-generation Gemini model effort, not as a generally available product. By extending the Gemini roadmap beyond the 3.x series, Gemini 4 represents Google’s next step toward more powerful, multimodal, and agentic AI systems.

Media

Media

No images available

Integrations Supported

1min.AI
AI-FLOW
APIPark
Amazon Bedrock
Codestral
Fleak
GMTech
Gemini
Langflow
Lunary
Ministral 3B
Ministral 8B
Mistral NeMo
Mixtral 8x22B
Mixtral 8x7B
Numina
PI Prompts
PostgresML
Toolmark
thisorthis.ai

Integrations Supported

1min.AI
AI-FLOW
APIPark
Amazon Bedrock
Codestral
Fleak
GMTech
Gemini
Langflow
Lunary
Ministral 3B
Ministral 8B
Mistral NeMo
Mixtral 8x22B
Mixtral 8x7B
Numina
PI Prompts
PostgresML
Toolmark
thisorthis.ai

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Open source
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

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

Mistral AI

Date Founded

2023

Company Location

France

Company Website

mistral.ai/news/mathstral/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.com

Popular Alternatives

Mistral Large 2 Reviews & Ratings

Mistral Large 2

Mistral AI

Popular Alternatives

Solar Pro 2 Reviews & Ratings

Solar Pro 2

Upstage AI
Mistral NeMo Reviews & Ratings

Mistral NeMo

Mistral AI
Claude Opus 3 Reviews & Ratings

Claude Opus 3

Anthropic