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.

Explore AI models 6

Provider Input Output License

Discover models worth your attention

LLaMmlein_120M

LSX-UniWue

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

Text generation

Input Text→ Output Text

Price not verifiedCheck multimodal and channel pricing separately

View details ↗

CompareSource / docs ↗

LLäMmlein 1B is a German LLaMa model trained from scratch using our adapted Tinyllama codebase on the German portion of RedPajama V2. To enhance data quality, we additionally deduplicated the dataset on paragraph level and filtered it using a token-to-word ratio filter. The resulting dataset can be found here. You can use LLäMmlein with the `transformers` library. (Optional: install `flash-attn` to achieve highest efficiency.) In addition to the final model checkpoint, we publish intermediate checkpoints throughout the full training process as unique branches in this repository. A specific checkpoint can be loaded like this:

Text generation

Input Text→ Output Text

Price not verifiedCheck multimodal and channel pricing separately

View details ↗

CompareSource / docs ↗

LLaMmlein_1B_prerelease

LSX-UniWue

This is a German Tinyllama 1B language model trained from scratch using the Tinyllama codebase on the German portion of RedPajama V2. Find more details on our page and our preprint! We evaluated our results on the SuperGLEBer benchmark. Data Take Down

Text generation

Input Text→ Output Text

Price not verifiedCheck multimodal and channel pricing separately

View details ↗

CompareSource / docs ↗

LLaMmlein_7B

LSX-UniWue

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

Text generation

Input Text→ Output Text

Price not verifiedCheck multimodal and channel pricing separately

View details ↗

CompareSource / docs ↗

ModernGBERT_134M

LSX-UniWue

ModernGBERT 134M is a German ModernBERT language model with 134 million parameters and a native context length of up to 8,192 tokens. This model follows the same BERT-style architecture and training procedure as the ModernBERT codebase. ModernGBERT 134M has been pre-trained on 470 billion tokens from the German portion of RedPajama V2, a subset of the same training dataset used for our LLäMmlein decoder family. You can use ModernGBERT with the `transformers` library from version v4.48.0 onwards. (Optional: install `flash-attn` to achieve highest efficiency.) Since ModernGBERT 134M is a Masked Language Model (MLM), you can load it via `AutoModelForMaskedLM`. For downstream tasks such as classification, retrieval, or QA, fine-tune the model by following standard BERT fine-tuning recipes.

Embeddings & similarity

Input Text→ Output Embedding

Price not verifiedCheck multimodal and channel pricing separately

View details ↗

CompareSource / docs ↗

ModernGBERT_1B

LSX-UniWue

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。

Embeddings & similarity

Input Text→ Output Embedding

Price not verifiedCheck multimodal and channel pricing separately

View details ↗

CompareSource / docs ↗

COST EXPLORER

Great models. Clear costs.

Cost analysis

Adjust monthly token usage to compare estimated API costs.

Monthly input tokens 10 MMonthly output tokens 2 M1 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.

Find your ideal AI model.

Explore AI models 6

LLaMmlein_120M

LLaMmlein_1B

LLaMmlein_1B_prerelease

LLaMmlein_7B

ModernGBERT_134M

ModernGBERT_1B

No matching models

Great models. Clear costs.

Understand before you choose

Follow trends. Find tools. Explore models.