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
deepseek logodeepseek

DeepSeek: DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

컨텍스트
164K
입력
text
출력
text
입력: $0.25출력: $0.95백만 토큰당
모델 상세 보기 →
mistralai logomistralai

Mistral: Mistral Medium 3.1

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

컨텍스트
131K
입력
text · image · file
출력
text
입력: $0.4출력: $2백만 토큰당
모델 상세 보기 →
z-ai logoz-ai

Z.ai: GLM 4.5V

GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...

컨텍스트
66K
입력
text · image
출력
text
입력: $0.6출력: $1.8백만 토큰당
모델 상세 보기 →
openai logoopenai

OpenAI: GPT-5

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...

컨텍스트
400K
입력
text · image · file
출력
text
입력: $1.25출력: $10백만 토큰당
모델 상세 보기 →
openai logoopenai

OpenAI: GPT-5 (batch)

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...

컨텍스트
400K
입력
text · image · file
출력
text
입력: $0.625출력: $5백만 토큰당
모델 상세 보기 →
openai logoopenai

OpenAI: GPT-5 Mini

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

컨텍스트
400K
입력
text · image · file
출력
text
입력: $0.25출력: $2백만 토큰당
모델 상세 보기 →
openai logoopenai

OpenAI: GPT-5 Mini (batch)

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

컨텍스트
400K
입력
text · image · file
출력
text
입력: $0.125출력: $1백만 토큰당
모델 상세 보기 →
openai logoopenai

OpenAI: GPT-5 Nano

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...

컨텍스트
400K
입력
text · image · file
출력
text
입력: $0.05출력: $0.4백만 토큰당
모델 상세 보기 →
openai logoopenai

OpenAI: GPT-5 Nano (batch)

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...

컨텍스트
400K
입력
text · image · file
출력
text
입력: $0.025출력: $0.2백만 토큰당
모델 상세 보기 →
openai logoopenai

OpenAI: gpt-oss-120b

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...

컨텍스트
131K
입력
text
출력
text
입력: $0.15출력: $0.6백만 토큰당
모델 상세 보기 →
openai logoopenai

OpenAI: gpt-oss-120b (batch)

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...

컨텍스트
131K
입력
text
출력
text
입력: $0.0296출력: $0.136백만 토큰당
모델 상세 보기 →
openai logoopenai

OpenAI: gpt-oss-20b

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...

컨텍스트
131K
입력
text
출력
text
입력: $0.018출력: $0.09백만 토큰당
모델 상세 보기 →
openai logoopenai

OpenAI: gpt-oss-20b (batch)

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...

컨텍스트
131K
입력
text
출력
text
입력: $0.024출력: $0.112백만 토큰당
모델 상세 보기 →
anthropic logoanthropic

Anthropic: Claude Opus 4.1

Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...

컨텍스트
200K
입력
image · text · file
출력
text
입력: $15출력: $75백만 토큰당
모델 상세 보기 →
anthropic logoanthropic

Anthropic: Claude Opus 4.1 (batch)

Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...

컨텍스트
200K
입력
image · text · file
출력
text
입력: $7.5출력: $37.5백만 토큰당
모델 상세 보기 →
mistralai logomistralai

Mistral: Codestral 2508

Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. Blog Post

컨텍스트
256K
입력
text · file
출력
text
입력: $0.3출력: $0.9백만 토큰당
모델 상세 보기 →
qwen logoqwen

Qwen: Qwen3 Coder 30B A3B Instruct

Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the...

컨텍스트
262K
입력
text
출력
text
입력: $0.07출력: $0.28백만 토큰당
모델 상세 보기 →
qwen logoqwen

Qwen: Qwen3 30B A3B Instruct 2507

Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...

컨텍스트
262K
입력
text
출력
text
입력: $0.1출력: $0.3백만 토큰당
모델 상세 보기 →
z-ai logoz-ai

Z.ai: GLM 4.5

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...

컨텍스트
131K
입력
text
출력
text
입력: $0.6출력: $2.2백만 토큰당
모델 상세 보기 →
z-ai logoz-ai

Z.ai: GLM 4.5 Air

GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter...

컨텍스트
131K
입력
text
출력
text
입력: $0.13출력: $0.85백만 토큰당
모델 상세 보기 →
qwen logoqwen

Qwen: Qwen3 235B A22B Thinking 2507

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...

컨텍스트
128K
입력
text
출력
text
입력: $0.45출력: $3.5백만 토큰당
모델 상세 보기 →
qwen logoqwen

Qwen: Qwen3 Coder 480B A35B

Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over...

컨텍스트
262K
입력
text
출력
text
입력: $0.3출력: $1백만 토큰당
모델 상세 보기 →
bytedance logobytedance

ByteDance: UI-TARS 7B

UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, it builds upon the UI-TARS framework with reinforcement...

컨텍스트
128K
입력
image · text
출력
text
입력: $0.1출력: $0.2백만 토큰당
모델 상세 보기 →
google logogoogle

Google: Gemini 2.5 Flash Lite

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...

컨텍스트
1.0M
입력
text · image · file · audio · video
출력
text
입력: $0.1출력: $0.4백만 토큰당
모델 상세 보기 →