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Mistral AILarge 2
Inputs:
Mistral 7BMixtral 8x7B Mistral Medium 3Mistral Small 3.2Magistral Small 1.2Magistral Medium 1.2
SOTA
Frontier AI in your hands
Most popular alternative: Claude (451 saves)
By unverified author Claim this AI
Mistral AI offers open-source AI models, with an emphasis on compute efficiency, utility, and trustworthiness. The main product, Mistral 7B, stands as a small yet powerful model adaptable to an array of use-cases.
Unlike other solutions, Mistral-7B provides natural coding abilities and it is remarkable for its adaptability. The product comes with weights and sources, allowing for maximum customization without requiring user data.
The firm follows a principle of open models, believing in the value of open science, community participation, and free software. As part of this commitment, many of their products, models, and deployment tools are released under liberal licenses.
Mistral AI encourages contributions from the user community and aims at driving AI forward by addressing challenging problems. Along with operating as an advanced AI solution, Mistral AI works well on any cloud and even gaming GPUs, making it broadly accessible.
The company maintains high scientific standards with a creative team that combines a strong research focus with a dynamic business mindset.
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Releases
Get notified when a new version of Mistral AI is released
Notify me
Jul 24, 2024
Mistral Large 2 has a 128k context window and supports dozens of languages including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean, along with 80+ coding languages including Python, Java, C, C++, JavaScript, and Bash.
Mistral Large 2 is designed for single-node inference with long-context applications in mind – its size of 123 billion parameters allows it to run at large throughput on a single node. We are releasing Mistral Large 2 under the Mistral Research License, that allows usage and modification for research and non-commercial usages. For commercial usage of Mistral Large 2 requiring self-deployment, a Mistral Commercial License must be acquired by contacting us.
Mistral Large 2 sets a new frontier in terms of performance / cost of serving on evaluation metrics. In particular, on MMLU, the pretrained version achieves an accuracy of 84.0%, and sets a new point on the performance/cost Pareto front of open models.
Mistral Large 2 is designed for single-node inference with long-context applications in mind – its size of 123 billion parameters allows it to run at large throughput on a single node. We are releasing Mistral Large 2 under the Mistral Research License, that allows usage and modification for research and non-commercial usages. For commercial usage of Mistral Large 2 requiring self-deployment, a Mistral Commercial License must be acquired by contacting us.
Mistral Large 2 sets a new frontier in terms of performance / cost of serving on evaluation metrics. In particular, on MMLU, the pretrained version achieves an accuracy of 84.0%, and sets a new point on the performance/cost Pareto front of open models.
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December 8, 2023
Initial release of Mistral AI.
Pricing
Pricing model
Freemium
Paid options from
$14.99
Billing frequency
One-time
Prompts & Results
Math Analogy Synthesizer
Timothy Unfried
🙏 1 karma
Converts any math concept into a clean, accurate analogy using real-world situations. For complex inputs, it annotates key parts with short math terms or symbols (e.g. (+), (limit), (f(x))) to help readers understand the mapping between analogy and concept.
Copy
You are given a mathematical concept, explanation, or expression. Create an analogy using a real-world scenario that mirrors the logic or structure of the original concept. Use clear, grounded language and map each mathematical idea to a relatable object, process, or action. Stick to familiar domains like tools, containers, movement, balancing, or recipes. If the concept is straightforward, return a clean analogy paragraph. If the concept is more complex or layered, annotate key words or actions using short brackets showing what math concept or symbol they refer to. These brackets can include operation names (such as add, subtract, limit), symbols (+, −, ∫, f(x)), or concept labels like domain, output, or rate of change. Annotation Rules: Use brackets only when helpful Keep each annotation under three words Place immediately after the word or phrase it applies to Maintain sentence flow Do not explain annotations separately Output format: Analogy: [one paragraph with optional bracketed annotations] Examples: Input: Limit Analogy: You're walking toward a wall but never touching it. Each step takes you halfway closer. No matter how close you get, you never actually arrive (limit). Input: Add two numbers, then subtract a third Analogy: You place one book on a shelf, then add another (add). Later, you remove one (subtract). What's left is the result of the entire operation. Input: Function composition: f(g(x)) Analogy: Imagine ordering a coffee (g(x)) and then handing it to a friend who adds whipped cream to it (f()). The drink you get at the end depends on both steps. First the coffee is made (inner function), then it is modified (outer function). Input: Integral as accumulation over time Analogy: Picture water dripping into a bucket every second. The total water after 10 seconds is like the integral (∫). It accumulates everything that’s been added over time (rate × time).
Analogy: Think of a nested function like a set of Russian matryoshka dolls. You open the outermost doll (outer function) and find another doll inside (inner function), which itself might contain yet another. Each doll’s size and design (output) depends on what’s inside it (input), and you only see the final result after opening all the layers in order. The outermost doll’s appearance (f(g(h(x)))) is shaped by every doll hidden within.
What Would They Say? (Celebrity Advice)
Carvery Mondal
Generates personal advice in the exact voice and tone of any celebrity. Just set the tone, choose the celebrity, and describe the situation. The response stays fully in character with no breaks, no disclaimers, and no fluff.
Settings used for output example :
Tone:
Savage
Celebrity:
Gordon Ramsay
Situation:
I keep procrastinating on launching my online business. I have the idea, the website half-built, but I keep stalling and making excuses.
Copy
You are giving direct, personal advice as the celebrity listed below. Match their natural voice, speaking style, pacing, and attitude. Also match the tone provided. Give advice that sounds exactly like them. Stay in character. Do not break voice. Do not explain anything. Do not reference this being a simulation. Speak as if you are that person, speaking honestly, clearly, and with their full energy. Tone:*serious* *funny * *calm* Celebrity:*name* Situation: *describe situation here* Only return the advice. Nothing else.
Listen here, you useless donkey—you’re sitting on a goldmine and you’re too busy polishing the bloody doorknob! Half-built website? That’s like serving raw chicken and calling it a Michelin star meal. Pathetic. You want to launch a business? Stop wanking about and DO IT. The world doesn’t give a flying fck about your excuses. Your idea? Worthless until it’s out there making money. Your website? Half-built is the same as NOT BUILT. You think Amazon started with a perfect site? No, they started with a **fcking garage and a dream.** Here’s what you’re going to do: Right now. Not tomorrow, not next week—NOW. Finish one page. Just one. Then another. Then another. And then you press the damn launch button. You think I became who I am by waiting for the “perfect moment”? I became who I am by getting off my arse and working while everyone else was still asleep. You want to be an entrepreneur? Act like one. Stop being a lazy little sh*t and LAUNCH. The only thing standing in your way is YOU. And right now, you’re your own worst enemy. Sort it out.
Mistral AI was manually vetted by our editorial team and was first featured on December 9th 2023.
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12,59397v2.1 released 2mo agoFree + from $45/mo
This is the first AI marketing tool I’ve used that actually helps me get things done, not just suggest generic ideas. The mix of AI-powered strategy and real experts executing the work makes it feel like having a high-performance marketing team without the overhead -
28,983396v1.0 released 11mo agoFree + from $35/mo
This team took the time to understand the industry, problem and its users and designed a perfectly engineered solution. Kudos.
Pros and Cons
Pros
Open-source models
Emphasis on compute efficiency
Utility and trustworthiness
Small yet powerful model
Remarkable adaptability
Natural coding abilities
Tools comes with weights and sources
Maximized customization
No user data required
Open science principle
Community participation encouraged
Liberal licenses for products
Cloud compatible
Gaming GPU compatible
High scientific standards
Strong research focused team
Dynamic business mindset
Model utility and adaptability
Tackles challenging problems
Doesn't need user data
Committed to open models
Release products under permissive licenses
Encourages user contributions
Better benchmark performance
8k sequence length
Easy to deploy on any cloud
Works on gaming GPUs
Creative and scientific team
Fast-paced business mindset
Promotes open models longevity
Small, powerful, adaptable model
Full customization of the products
View 27 more pros
Cons
No dedicated customer support
Requires manual customization
No built-in hosting
Less suitable for non-tech individuals
Possible performance issues on weaker GPUs
Lower performance compared to larger models
Relies on user community for developments
Open-source could compromise product security
Lack of well-documented use cases
Potentially complicated deployment process
View 5 more cons
Included in lists
4 public lists
7 alternatives to Mistral AI for Large Language Models
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Building reliable, interpretable AI systems38,1234514.5 released 6d agoFree + from $20/moClaude — v4.5Claude Sonnet 4.5 Stronger reasoning & math: fewer slips on multi-step problems. Better coding: clearer fixes, tighter adherence to specs. More reliable tool/JSON calls: fewer schema errors, cleaner arguments. Improved vision: nicer OCR and chart/screenshot understanding. Holds long context better: steadier multi-doc coherence. Lower, steadier latency: snappier responses under load. Calmer alignment: fewer overcautious refusals; safer wording. -
Gemini: Google's most capable AI model yet37,3583262.5 Pro released 6mo agoFree + from $19.99 -
Run powerful AI models locally on your machine.5,16149Released 2y ago100% Free -
Open-source AI models for customization and deployment.4,53771v4 released 6mo agoNo pricingA huge disappointment. It fails standard tasks that Sonnet 3.5 completes with no issue. I’ll be skipping this version. -
Supercharge your imagination and bring ideas to life4,08593Released 2y ago100% Free -
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