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。
Input Text→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗DISCOVER & COMPARE
Explore AI models 84994
Best-smal-LLM-GGUF
Derur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 Text
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→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
View details ↗Llama-Gujarat-8B
DesaiJayM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 Text
Price not verifiedCheck multimodal and channel pricing separately
View details ↗dac_16khz
descriptThis is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
Input Text→ Output Embedding
Price not verifiedCheck multimodal and channel pricing separately
View details ↗dac_24khz
descript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。
Input Text→ Output Embedding
Price not verifiedCheck multimodal and channel pricing separately
View details ↗dac_44khz
descriptThis is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed]
Input Text→ Output Embedding
Price not verifiedCheck multimodal and channel pricing separately
View details ↗Desearch-Embedding-4B
desearch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 Embedding
Price not verifiedCheck multimodal and channel pricing separately
View details ↗align
desert-ant-labs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 Audio→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
View details ↗clear
desert-ant-labs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 Audio→ Output Audio
Price not verifiedCheck multimodal and channel pricing separately
View details ↗clips
desert-ant-labs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 Not verified→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗ear
desert-ant-labs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 Audio→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗emo
desert-ant-labsType a word or a sentence and get the emoji that fits. Emo is tuned for to-dos, calendar entries, notes, and message drafts across **22 languages** (including CJK, Arabic, Thai, Hindi, and more). The model and tokenizer together are small (**5MB** on Apple via Core ML, **11MB** via LiteRT elsewhere) and runs in well under 2ms on device. > `"Dentist appointment"` → 🦷 · `"réserver un vol pour Tokyo"` → ✈️ · `"犬の散歩"` → 🐕 · `"จองโรงแรม"` → 🏨 - **Live demo:** desert-ant-labs/emo-demo: type a phrase, get emojis, fully in your browser. **Swift** (requirements)
Input Text→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
View details ↗eye
desert-ant-labs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。
Input Image→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗gist
desert-ant-labs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 Text
Price not verifiedCheck multimodal and channel pricing separately
View details ↗moderator
desert-ant-labs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 Image→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗redact
desert-ant-labsStrip names, addresses, emails, phone numbers, cards, IBANs and national IDs out of text before it leaves the device, across **27 languages** (see Languages). A token classifier plus a deterministic layer for structured IDs. The deployable model is **11.6MB** (4-bit Core ML on Apple) or **24.5MB** (int8 LiteRT `.tflite` on Android, Linux and the web). > `"Call Anna Kovács at anna@example.hu, IBAN GB29NWBK60161331926819"` → > `"Call [GIVEN_NAME] [SURNAME] at [EMAIL], IBAN [BANK_ACCOUNT]"` `GIVEN_NAME`, `SURNAME`, `STREET_NAME`, `BUILDING_NUMBER`, `SECONDARY_ADDRESS`, `CITY`, `STATE`, `ZIP_CODE`, `EMAIL`, `PHONE`, `CREDIT_CARD`, `BANK_ACCOUNT`, `ROUTING_NUMBER`, `IP_ADDRESS`, `URL`, `GOVERNMENT_ID`, `PASSPORT`, `DRIVERS_LICENSE`, `TAX_ID`, `SSN`.
Input Text→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
View details ↗shapes
desert-ant-labsTurn a rough circle drawing into a clean shape, with fitted vector geometry ready to snap to. Built for PencilKit-style "smart shapes": draw, pause, and the rough stroke becomes a crisp shape. The model is tiny (**200KB** Core ML, **1.3MB** LiteRT) and runs in a few milliseconds on device. `line`, `rectangle`, `triangle`, `ellipse`, `star`, plus `none` (the reject class: scribbles, partial shapes, and other non-shape strokes). Squares and circles are covered by `rectangle` and `ellipse` (snapped when near-regular). Desert Ant Labs Source-Available License. Free for most apps, and a commercial license is required at scale. Full terms are at the link. Licensing: .
Input Image→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗title
desert-ant-labsOn-device titles and descriptions: a short factual title and a one- to two-sentence description for any passage of text. Get a title and a one or two sentence description for any passage of text, on device. Title is fine-tuned on transcript clips, but it works on any prose. The register is deliberately plain, with no emoji, no hashtags and no clickbait, and a description identifies *this* passage rather than its topic.
Input Text→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
View details ↗uhm
desert-ant-labsFind every "uh", "um" and "hmm" in an audio file, down to 20ms. Uhm runs on device, does not require ASR, and is trained on English with acoustic transfer to Spanish, French, German, and Dutch. `uhm.mlmodelc/` is a compiled Core ML model directory. The Swift SDK downloads it with the Hugging Face Hub snapshot API, so only changed files are re-fetched on model updates. `uhm.tflite` is what the Kotlin and JavaScript SDKs download; it is converted from `uhm.onnx` and matches it at 99.7 to 100% per-frame argmax. The shipped model is a DistilHuBERT fine-tune, the smaller and more precise Uhm runtime model; the older HuBERT-base tier is no longer published.
Input Audio→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗voz
desert-ant-labs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 Audio→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
View details ↗who
desert-ant-labs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 Not verified→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗bert-base-uncased-finetuned-mrpc
desilo-ai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。
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
Input Not verified→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗No matching models
Adjust provider, category or input/output filters. New models are added continuously.
COST EXPLORER
Great models. Clear costs.
Adjust monthly token usage to compare estimated API costs.
1 M = 1 million tokens · USD
Compares base text-token rates within the same channel
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
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.