AI 모델 레이더

AI 모델을 같은 기준으로 비교하세요

OpenRouter에 현재 공개된 모든 모델의 모달리티, 컨텍스트, 가격, 설정, 제공업체 정보를 한곳에서 비교할 수 있습니다.

카탈로그 범위
전체 공개 모델
개 모델
691
개 제공업체
98
마지막 동기화
2026. 10. 30.
691 개 모델
nvidia logonvidia

NVIDIA: Nemotron 3.5 Super VL

NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...

컨텍스트
1.0M
입력
text · image · video
출력
text
입력: $0.15출력: $0.5백만 토큰당
모델 상세 보기 →
nvidia logonvidia

NVIDIA: Nemotron 3.5 Super VL (free)

NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...

컨텍스트
1M
입력
text · image · video
출력
text
입력: 무료출력: 무료백만 토큰당
모델 상세 보기 →
unbiased logounbiased

Pareto 26.10

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.

컨텍스트
1.0M
입력
text · image
출력
text
입력: $0.8출력: $3.2백만 토큰당
모델 상세 보기 →
typesafe logotypesafe

TypeSafe: Jev 1.14

Jev 1.14 is the latest version of Jev, TypeSafe's structured decision model and the first of its System One models. System One models make fast, structured decisions for software, returning...

컨텍스트
262K
입력
text · image
출력
decisions
입력: $0.042 백만 토큰당출력: 무료 백만 토큰당
모델 상세 보기 →
assemblyai logoassemblyai

AssemblyAI: Universal-3.6 Pro

Universal-3.6 Pro is AssemblyAI's speech-to-text model and the successor to Universal-3.5 Pro, served here through AssemblyAI's Sync API. Compared with Universal-3.5 Pro, AssemblyAI reports 30% fewer errors on short conversational...

컨텍스트
정보 없음
입력
audio
출력
transcription
오디오 길이: $0.000083 초당Audio Seconds (Prompted): $0.000097 초당
모델 상세 보기 →
~perplexity logo~perplexity

Perplexity: Decider Latest

This model always redirects to the latest model in the Decider family.

컨텍스트
262K
입력
text · image
출력
decisions
입력: $0.02 백만 토큰당출력: 무료 백만 토큰당
모델 상세 보기 →
~unbiased logo~unbiased

Pareto Latest

This model always redirects to the latest model in the Pareto family.

컨텍스트
1.0M
입력
text · image
출력
text
입력: $0.8출력: $3.2백만 토큰당
모델 상세 보기 →
unbiased logounbiased

Pareto 26.9

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.

컨텍스트
262K
입력
text · image
출력
text
입력: $2.5출력: $7.5백만 토큰당
모델 상세 보기 →
heygen logoheygen

HeyGen: HeyGen Voice

HeyGen Voice is a text-to-speech model from HeyGen. It comes with 10 default voices, or bring your own HeyGen key to use voice clones from your own account. It streams...

컨텍스트
정보 없음
입력
text
출력
speech
문자: $15 백만 문자당
모델 상세 보기 →
liquid logoliquid

LiquidAI: LFM2.5-24B-A2B

LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...

컨텍스트
128K
입력
text
출력
text
입력: $0.05출력: $0.7백만 토큰당
모델 상세 보기 →
fish-audio logofish-audio

Fish Audio: Drama 3

Drama 3 is a text-to-speech model from Fish Audio built for directed voice performances. You write the direction in plain language in square brackets before a line, such as [nervous,...

컨텍스트
정보 없음
입력
text
출력
speech
UTF-8 바이트: $2 백만 UTF-8 바이트당
모델 상세 보기 →
google logogoogle

Google: Gemini 4 Argon

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...

컨텍스트
1.0M
입력
audio · file · image · text · video
출력
text
입력: $2출력: $10백만 토큰당
모델 상세 보기 →
google logogoogle

Google: Gemini 4 Argon (batch)

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...

컨텍스트
1.0M
입력
audio · file · image · text · video
출력
text
입력: $1출력: $5백만 토큰당
모델 상세 보기 →
scaledown logoscaledown

ScaleDown: Summarize

Summarize is an abstractive summarization model from ScaleDown. It condenses long text and documents into a fluent, faithful rewrite rather than lifting sentences from the source, and is suited for...

컨텍스트
1M
입력
text · image · file
출력
text
입력: $0.04출력: 무료백만 토큰당
모델 상세 보기 →
scaledown logoscaledown

ScaleDown: Extract

Extract is a description-driven entity extraction model from ScaleDown. Instead of a fixed set of entity types, callers describe the fields they want in plain English through provider.options.scaledown.entities, and the...

컨텍스트
1M
입력
text · image · file
출력
text
입력: $0.04출력: 무료백만 토큰당
모델 상세 보기 →
scaledown logoscaledown

ScaleDown: Classify-1

Classify-1 is a structured decision model from ScaleDown, served through OpenRouter's Decisions API. It scores text or a document against caller-defined choice, yes/no, and ordered-scale questions and returns calibrated probabilities...

컨텍스트
1M
입력
text · image · file
출력
decisions
입력: $0.04 백만 토큰당출력: 무료 백만 토큰당
모델 상세 보기 →
nace-ai logonace-ai

Nace.AI: Drex v2.0

Drex v2.0 is a 35B mixture-of-experts decision model (3B active) from Nace.AI, the larger successor to Drex v1.5. Given a state (text or JSON) and typed questions (yes/no, multiple choice,...

컨텍스트
131K
입력
text
출력
decisions
입력: $0.06 백만 토큰당출력: 무료 백만 토큰당
모델 상세 보기 →
meta logometa

Meta: Muse Wonder

Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...

컨텍스트
1.0M
입력
text · image · video · file · audio
출력
text
입력: $4출력: $20백만 토큰당
모델 상세 보기 →
microsoft logomicrosoft

Microsoft: Microsoft-Decision-1

Microsoft-Decision-1 is a small model built for fast decision-making. Instead of generating text, it reads the provided content and returns a calibrated probability for each fixed answer option, so the...

컨텍스트
33K
입력
text
출력
decisions
입력: $0.042 백만 토큰당출력: 무료 백만 토큰당
모델 상세 보기 →
nace-ai logonace-ai

Nace.AI: Drex v1.5

Drex v1.5 is a 9B decision model from Nace.AI. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal score), it returns a calibrated probability for...

컨텍스트
131K
입력
text
출력
decisions
입력: $0.04 백만 토큰당출력: 무료 백만 토큰당
모델 상세 보기 →
cloudflare logocloudflare

Cloudflare: Clef Omni

Clef Omni is the mixture-of-experts member of Cloudflare's open-source Clef decision model family, a fine-tune of Qwen3-Omni-30B-A3B (30B total, 3B active parameters) served on Workers AI. It turns a state...

컨텍스트
66K
입력
text · image · audio · video
출력
decisions
입력: $0.15 백만 토큰당출력: 무료 백만 토큰당
모델 상세 보기 →
stepfun logostepfun

StepFun: Step 5 Preview

Step 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B active / 600B total parameters). It performs strongly in software engineering and professional...

컨텍스트
1.0M
입력
text · image · video
출력
text
입력: $1출력: $2.7백만 토큰당
모델 상세 보기 →
upstage logoupstage

Upstage: Solar Decide Flash

Solar Decide Flash is Upstage's low-latency structured decision model, a faster variant of Solar Decide built on Solar Mini 4 and served through the System One (/v1/systemone) API. Instead of...

컨텍스트
524K
입력
text
출력
decisions
입력: $0.05 백만 토큰당출력: 무료 백만 토큰당
모델 상세 보기 →
anthropic logoanthropic

Anthropic: Claude Haiku 5.5

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...

컨텍스트
1M
입력
text · image · file
출력
text
입력: $0.1출력: $0.5백만 토큰당
모델 상세 보기 →