AI NEWS · Model intelligenceExplore capabilities. Make informed choices. ↗Profiles indexed first · Details continuously enriched
THE AI MODEL DIRECTORY Start exploring models here

Find your ideal AI model.

From language to images, open weights to APIs. Understand capabilities and compare real costs.
Find the right engine for your next idea.

Popular searches
85,003 model profiles13202 providers / publishers45 capability categories465 with comparable prices · 30 benchmarked
TText generation▧Image generation▷Video generation⌘Code generation◖Speech synthesis♫Music generation⬡3D modeling▤Document analysis
DISCOVER & COMPARE

Explore AI models 85003

Discover models worth your attention

Calme-4x7B-MoE-v0.1

MaziyarPanahi

Calme-4x7B is a Mixture of Experts (MoE) model, integrating four state-of-the-art Calme-7B models. Essentially, Calme-4x7B is composed of four Calme-7B models that have been individually fine-tuned, featuring two experts per token. This configuration brings the total to over 24 billion parameters. Calme-4x7B models are distinguished by their ability to generate text with exceptional clarity, calmness, and coherence. > I love how GGUF democratizes the use of Large Language Models (LLMs) on commodity hardware, more specifically, personal computers without any accelerated hardware. Because of this, I am committed to converting and quantizing any models I fine-tune to make them accessible to everyone!

Input Text→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
View details ↗

Calme-4x7B-MoE-v0.2

MaziyarPanahi

Calme-4x7B is a Mixture of Experts (MoE) model, integrating four state-of-the-art Calme-7B models. Essentially, Calme-4x7B is composed of four Calme-7B models that have been individually fine-tuned, featuring two experts per token. This configuration brings the total to over 24 billion parameters. Calme-4x7B models are distinguished by their ability to generate text with exceptional clarity, calmness, and coherence. > I love how GGUF democratizes the use of Large Language Models (LLMs) on commodity hardware, more specifically, personal computers without any accelerated hardware. Because of this, I am committed to converting and quantizing any models I fine-tune to make them accessible to everyone!

Input Text→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
View details ↗
COST EXPLORER

Great models. Clear costs.

Cost analysis

Adjust monthly token usage to compare estimated API costs.

1 M = 1 million tokens · USD
Compares base text-token rates within the same channel

Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.

MODEL HANDBOOK

Understand before you choose

Selection guide & FAQ
How should API prices be compared?+

Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

Do open weights mean free commercial use?+

Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.

Is the top-ranked model the best for me?+

Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.

AI NEWS · From information to decisions

Follow trends. Find tools. Explore models.

Explore AI news ↗Discover AI tools ↗