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
84,991 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 4

Discover models worth your attention

Breeze-ASR-25

MediaTek-Research

**Breeze ASR 25** is an advanced ASR model fine-tuned from Whisper-large-v2 - Optimized for Taiwanese Mandarin - Optimized for Mandarin-English code-switching scenarios, including intra-sentential switching and inter-sentential switching. - Enhanced time alignment, suitable for automatic captioning 增強範例-中英混用情境: MediaTek's 24th Anniversary

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

Breeze-ASR-26

MediaTek-Research

**BreezeASR-Taigi** is a Taiwanese Hokkien (Taigi / 台語) automatic speech recognition (ASR) model developed as part of the **Breeze Taigi** framework — a comprehensive framework centered on standardized benchmarks and evaluation methodologies for Taiwanese Hokkien speech technologies. Taiwanese Hokkien, also known as Taigi, is a critically important language with deep historical and cultural significance in Taiwan. While significant progress has been made in speech recognition for languages such as English and Mandarin Chinese, developing effective speech technologies for Taigi presents both opportunities and methodological challenges due to its complex phonological system, significant geographical accents, and diverse forms of Chinese character writing. BreezeASR-Taigi is built by fine-tuning the **Whisper** multilingual speech recognition framework on approximately **10,000 hours** of large-scale synthetic Taiwanese Hokkien speech data. The model transcribes spoken Taigi audio and outputs **Mandarin Chinese character** transcriptions, leveraging the substantial lexical overlap between Taigi and Mandarin for a pragmatic and reproducible evaluation framework.

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

Llama-Breeze2-3B-Instruct

MediaTek-Research

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 ↗