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- 카탈로그 범위
- 전체 공개 모델
- 개 모델
- 691
- 개 제공업체
- 98
- 마지막 동기화
- 2026. 10. 30.
microsoftMicrosoft AI: MAI-Voice-2-Flash
MAI-Voice-2-Flash is a low-latency text-to-speech model from Microsoft AI for voice agents, assistants, call centers, accessibility, narration, and other interactive applications. It generates expressive 24 kHz mono speech across 15...
- 컨텍스트
- 정보 없음
- 입력
- text
- 출력
- speech
inclusionaiinclusionAI: Ling 3.0 Flash
Ling-3.0-flash is a 124B-parameter Mixture-of-Experts (MoE) model, with approximately 5.1B parameters activated per token. The model is designed with token efficiency and production-scale agentic inference as key priorities, enabling developers...
- 컨텍스트
- 262K
- 입력
- text
- 출력
- text
qwenQwen: Qwen-Audio-3.0-TTS Flash
Qwen-Audio-3.0-TTS Flash is Alibaba's fast, cost-efficient text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.
- 컨텍스트
- 정보 없음
- 입력
- text
- 출력
- speech
qwenQwen: Qwen-Audio-3.0-TTS Plus
Qwen-Audio-3.0-TTS Plus is Alibaba's higher-quality text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.
- 컨텍스트
- 정보 없음
- 입력
- text
- 출력
- speech
x-aiSpaceXAI: Grok STT 1.0
Grok STT is SpaceXAI's speech-to-text model, available via the REST /v1/stt endpoint. It supports transcription with word-level timestamps, optional speaker diarization, and multichannel audio.
- 컨텍스트
- 정보 없음
- 입력
- audio
- 출력
- transcription
poolsidePoolside: Laguna S 2.1
Laguna S 2.1 is the latest coding agent model from Poolside. Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...
- 컨텍스트
- 1.0M
- 입력
- text
- 출력
- text
poolsidePoolside: Laguna S 2.1 (free)
Laguna S 2.1 is the latest coding agent model from Poolside. Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...
- 컨텍스트
- 262K
- 입력
- text
- 출력
- text
googleGoogle: Gemini 3.6 Flash
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
- 컨텍스트
- 1.0M
- 입력
- text · image · video · file · audio
- 출력
- text
googleGoogle: Gemini 3.6 Flash (batch)
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
- 컨텍스트
- 1.0M
- 입력
- text · image · video · file · audio
- 출력
- text
googleGoogle: Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
- 컨텍스트
- 1.0M
- 입력
- text · image · video · file · audio
- 출력
- text
googleGoogle: Gemini 3.5 Flash Lite (batch)
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
- 컨텍스트
- 1.0M
- 입력
- text · image · video · file · audio
- 출력
- text
kreaKrea: Krea 2 Large
Krea 2 Large is Krea's high-capability image generation model, more than twice the size of Krea 2 Medium. Its lighter post-training gives images a rawer, more textured, and flexible character,...
- 컨텍스트
- 66K
- 입력
- text · image
- 출력
- image
kreaKrea: Krea 2 Medium
Krea 2 Medium is Krea's balanced, cost-efficient image generation model and a practical starting point for a broad range of use cases. Its extensive post-training supports stable, consistent generations, with...
- 컨텍스트
- 66K
- 입력
- text · image
- 출력
- image
kreaKrea: Krea 2 Medium Turbo
Krea 2 Medium Turbo is a distilled, speed-focused variant of Krea 2 Medium from Krea. It is designed for rapid iteration and graphic design exploration where fast generation is the...
- 컨텍스트
- 66K
- 입력
- text · image
- 출력
- image
meituanMeituan: LongCat 2.0
LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic...
- 컨텍스트
- 1.0M
- 입력
- text
- 출력
- text
x-aiSpaceXAI: Grok Imagine Video 1.5
Grok Imagine Video 1.5 is a video generation model from SpaceXAI. It creates videos from text prompts, with an optional starting image to guide the scene. It can direct subject...
- 컨텍스트
- 정보 없음
- 입력
- text · image
- 출력
- video
thinkingmachinesThinking Machines: Inkling
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...
- 컨텍스트
- 524K
- 입력
- text · image · audio
- 출력
- text
thinkingmachinesThinking Machines: Inkling (free)
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...
- 컨텍스트
- 1.0M
- 입력
- text · image · audio
- 출력
- text
openrouterAuto Router (Beta)
The experimental version of our Auto Router where we test new improvements. Use it to get the latest and greatest version of our general purpose auto router, but expect beta...
- 컨텍스트
- 2M
- 입력
- text · image · audio · file · video
- 출력
- text · image
deepgramDeepgram: Aura-2
Aura-2 is a multilingual text-to-speech model from Deepgram. It supports Deepgram’s canonical Aura-2 voice catalog for speech synthesis across multiple languages.
- 컨텍스트
- 정보 없음
- 입력
- text
- 출력
- speech
moonshotaiMoonshotAI: Kimi K3
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...
- 컨텍스트
- 1.0M
- 입력
- text · image · video
- 출력
- text
moonshotaiMoonshotAI: Kimi K3 (batch)
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...
- 컨텍스트
- 1.0M
- 입력
- text · image · video
- 출력
- text
metaMeta: Muse Spark 1.1
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, and PDF documents and returns text, with a 1M-token context window....
- 컨텍스트
- 1.0M
- 입력
- text · image · video · file
- 출력
- text
nvidiaNVIDIA: Nemotron 3 Embed 1B (free)
NVIDIA Nemotron 3 Embed 1B is an open text embedding model from NVIDIA, optimized for high-throughput, low-latency retrieval. It is suited for enterprise search, RAG, code retrieval, and agentic retrieval...
- 컨텍스트
- 33K
- 입력
- text
- 출력
- embeddings