Free
$0/mo
- Limited generations per minute with a shorter length
- 60 token responses
- 300 requests per day
- Some models available
- No API access
Essential
$9/month
- Generations: Increased per minute, longer length via UI
- Token Responses: Up to 512 per response via UI
- Daily Requests: 86,400 requests via UI
- Models: Access to models up to 72B
- Model Updates: Delayed access to new releases
- API Access:
- 1 parallel request
- 12 requests per minute
- Payment Options: Credit or Crypto
Plus
$20/month
- Generations: Maximum per minute, longer length via UI
- Token Responses: Up to 512 per response via UI
- Daily Requests: 86,400 requests via UI
- Models: Full access to all models and new releases
- API Access:
- 2 parallel requests
- 18 requests per minute
- Payment Options: Credit or Crypto
Enterprise
Custom
- Custom Pricing: Designed for your needs
- + Custom Concurrent requests: Scale your operations with the number of concurrent requests you need.
- + Custom Requests per minute: Handle higher demand with personalized request limits.
- Payment options: Credit or Crypto
Feature
Free account
Essential account
Plus account
UI Generations per minute
Limited, shorter
Increased, longer
Maximum, longer
UI Token responses
60
2,048
2,048
UI Requests per day
300
86,400
86,400
Models available
Some
Up to 728
All models
Model updates
Delayed
Delayed
New releases
API access
No
Yes
Yes
API parallel requests
None
1
2
API requests per minute
12
18
Frequently Asked Pricing Questions
The same GPT interface you know. Access to much, much more.
TOP LLMS
Sao10K/
L3-70B-Euryale-v2.2
Coherent, emotional and very creative.
- RP, Storywriting.
- FP8 Dynamic
- L3.1-70B-Euryale-v2.2-FP8-Dynamic
- Context: 16K
- RP Instruct: https://files.catbox.moe/1c9sp0.json
- RP Context: https://files.catbox.moe/5wwpin.json
Settings provided by: ShotMisser64
rAIfle/
SorcererLM-8x22b-bf16
- RP
- BF16
- rAIfle-SorcererLM-8x22b-bf16
- Context: 16K
- Recommended Settings: https://files.catbox.moe/9tj7m0.json
Anthracite-org/
Magnum-72b-v4
This model has spatial awareness, memory and detailed descriptions to keep the generation entertaining. Very good creativity and NSFW.
- RP, Storywriting.
- FP8 Dynamic
- anthracite-org-magnum-v4-72b-FP8-Dynamic
- Context: 32k
- Preset: https://files.catbox.moe/rqei05.json
- RP Instruct: https://files.catbox.moe/btnhau.json
- RP Context: https://files.catbox.moe/7kct3f.json
Settings provided by: GERGE
How it Works
1. Discover & play.
With Infermatic, you get direct access to the elite of Large Language Models from Hugging Face’s LLM Leaderboard. The beauty? It’s all via the user-friendly interface you’re familiar with.
2. Find your ideal model
Test, tinker, and pinpoint the model that resonates with your content needs or business strategies.
3. Scale in production.
As your demands shift, Infermatic seamlessly adapts. From niche projects to broader strategies, our platform scales with you, ensuring you always have the right LLM tools at hand.
Speed to market is paramount.
Don’t let setup slow you down.
We take the Ops out of MLOps.
Instant access to leading LLMs with zero infrastructure management
Deploy state-of-the-art models
with just a few lines of code.
Infermatic supports multiple deep learning frameworks, including:
Simple
Infermatic's simple design makes it user-friendly for everyone, allowing them to focus on their work without getting overwhelmed by complicated features.
Scalable
Infermatic scales with your business, providing you with the necessary resources at any stage of growth or change.
Secure
Infermatic prioritizes security through robust measures like regular system updates and strong encryption to safeguard your data.
Frequently Asked Questions from Geek to Geek
- What is prompt engineering, and why is it critical in working with LLMs?
- How can I design effective prompts for LLMs?
- What are some standard techniques used in prompt engineering?
- How does prompt length impact the output of an LLM?
- How do LLMs understand and generate human-like text?
- What is the difference between Llama, Mixtral, and Qwen?
- What are some examples of advanced use cases of prompt engineering with LLMs?
- How do I choose the best LLM model for my project?
- What are large language models, and how do they differ from traditional NLP models?
- Can LLMs write code well?