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
85,001 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 85001

Discover models worth your attention

基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Category pending
Input Not verified→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗

基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Category pending
Input Not verified→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗

Niji_fluxv2

leonel4rd

基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

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

基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

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

An uncensored GGUF merge of Qwen 3.5 9B, ready for local deployment with Ollama, llama.cpp, or any GGUF-compatible runtime. This model is built upon HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive. The original base model has the following known issues: 1. **Ollama deployment failure** — The base model cannot be directly deployed via Ollama due to architecture/format incompatibilities. This GGUF version resolves the issue by converting and merging the weights into a single GGUF file that Ollama can load natively. 2. **Broken multimodal input** — The base model's packaging causes multimodal (e.g., image) input to malfunction. Although the underlying Qwen 3.5 architecture supports vision capabilities, the way the original model was packaged breaks multimodal inference.

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

results

leoschneider

基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Category pending
Input Not verified→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗

基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Category pending
Input Not verified→ Output Not verified
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 ↗