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 3

Provider Input Output License

Discover models worth your attention

ConTeXT-Skill-Extraction-base

TechWolf

This is a sentence-transformers model trained. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

Embeddings & similarity

Input Text→ Output Embedding

Price not verifiedCheck multimodal and channel pricing separately

View details ↗

CompareSource / docs ↗

JobBERT-v2

TechWolf

This is a sentence-transformers model specifically trained for job title matching and similarity. It's finetuned from sentence-transformers/all-mpnet-base-v2 on a large dataset of job titles and their associated skills/requirements. The model maps job titles and descriptions to a 1024-dimensional dense vector space and can be used for semantic job title matching, job similarity search, and related HR/recruitment tasks. - **Model Type:** Sentence Transformer - **Base model:** sentence-transformers/all-mpnet-base-v2 - **Maximum Sequence Length:** 64 tokens - **Output Dimensionality:** 1024 tokens - **Similarity Function:** Cosine Similarity - **Training Dataset:** 5.5M+ job title - skills pairs - **Primary Use Case:** Job title matching and similarity - **Performance:** Achieves 0.6457 MAP on TalentCLEF benchmark - **Documentation:** Sentence Transformers Documentation - **Repository:** Sentence Transformers on GitHub - **Hugging Face:** Sentence Transformers on Hugging Face

Embeddings & similarity

Input Text→ Output Embedding

Price not verifiedCheck multimodal and channel pricing separately

View details ↗

CompareSource / docs ↗

JobBERT-v3

TechWolf

This is a sentence-transformers model specifically trained for job title matching and similarity. It's finetuned from sentence-transformers/paraphrase-multilingual-mpnet-base-v2 on a large dataset of job titles and their associated skills/requirements across multiple languages. The model maps English, Spanish, German and Chinese job titles and descriptions to a 1024-dimensional dense vector space and can be used for semantic job title matching, job similarity search, and related HR/recruitment tasks. The model was presented in the paper Multilingual JobBERT for Cross-Lingual Job Title Matching. - **Model Type:** Sentence Transformer - **Base model:** sentence-transformers/paraphrase-multilingual-mpnet-base-v2 - **Maximum Sequence Length:** 64 tokens - **Output Dimensionality:** 1024 dimensions - **Similarity Function:** Cosine Similarity - **Training Dataset:** 4 x 5.2M high-quality job title - skills pairs in English, Spanish, German and Chinese

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 3

ConTeXT-Skill-Extraction-base

JobBERT-v2

JobBERT-v3

No matching models

Great models. Clear costs.

Understand before you choose

Follow trends. Find tools. Explore models.