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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
- 534
- 개 제공업체
- 75
- 마지막 동기화
- 2026. 8. 31.
openaiOpenAI: GPT-5.1-Codex-Mini
GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex
- 컨텍스트
- 400K
- 입력
- image · text
- 출력
- text
moonshotaiMoonshotAI: Kimi K2 Thinking
Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...
- 컨텍스트
- 262K
- 입력
- text
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- text
amazonAmazon: Nova Premier 1.0
Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.
- 컨텍스트
- 1M
- 입력
- text · image
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- text
mistralaiMistral: Mistral Embed 2312
Mistral Embed is a specialized embedding model for text data, optimized for semantic search and RAG applications. Developed by Mistral AI in late 2023, it produces 1024-dimensional vectors that effectively...
- 컨텍스트
- 8K
- 입력
- text
- 출력
- embeddings
googleGoogle: Gemini Embedding 001
gemini-embedding-001 provides a unified cutting edge experience across domains, including science, legal, finance, and coding. This embedding model has consistently held a top spot on the Massive Text Embedding Benchmark...
- 컨텍스트
- 20K
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- text
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- embeddings
openaiOpenAI: Text Embedding Ada 002
text-embedding-ada-002 is OpenAI's legacy text embedding model.
- 컨텍스트
- 8K
- 입력
- text
- 출력
- embeddings
mistralaiMistral: Codestral Embed 2505
Mistral Codestral Embed is specially designed for code, perfect for embedding code databases, repositories, and powering coding assistants with state-of-the-art retrieval.
- 컨텍스트
- 8K
- 입력
- text
- 출력
- embeddings
openaiOpenAI: Text Embedding 3 Large
text-embedding-3-large is OpenAI's most capable embedding model for both english and non-english tasks. Embeddings are a numerical representation of text that can be used to measure the relatedness between two...
- 컨텍스트
- 8K
- 입력
- text
- 출력
- embeddings
openaiOpenAI: Text Embedding 3 Small
text-embedding-3-small is OpenAI's improved, more performant version of the ada embedding model. Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces...
- 컨텍스트
- 8K
- 입력
- text
- 출력
- embeddings
perplexityPerplexity: Sonar Pro Search
Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning and analysis. Pricing is based...
- 컨텍스트
- 200K
- 입력
- text · image
- 출력
- text
mistralaiMistral: Voxtral Small 24B 2507
Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding. Input audio...
- 컨텍스트
- 33K
- 입력
- text · audio · file
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- text
openaiOpenAI: gpt-oss-safeguard-20b
gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust...
- 컨텍스트
- 131K
- 입력
- text
- 출력
- text
qwenQwen: Qwen3 Embedding 8B
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. This series inherits the exceptional multilingual capabilities, long-text...
- 컨텍스트
- 33K
- 입력
- text
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- embeddings
qwenQwen: Qwen3 Embedding 4B
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. This series inherits the exceptional multilingual capabilities, long-text...
- 컨텍스트
- 33K
- 입력
- text
- 출력
- embeddings
minimaxMiniMax: MiniMax M2
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
- 컨텍스트
- 205K
- 입력
- text
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- text
qwenQwen: Qwen3 VL 32B Instruct
Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...
- 컨텍스트
- 131K
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- text · image
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ibm-graniteIBM: Granite 4.0 Micro
Granite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by IBM. They are fine-tuned for long...
- 컨텍스트
- 131K
- 입력
- text
- 출력
- text
openaiOpenAI: GPT-5 Image Mini
GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by GPT-5 Mini, with GPT Image 1 Mini for efficient image generation. This natively multimodal model features superior instruction following, text...
- 컨텍스트
- 400K
- 입력
- file · image · text
- 출력
- image · text
anthropicAnthropic: Claude Haiku 4.5
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...
- 컨텍스트
- 200K
- 입력
- text · image · file
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- text
anthropicAnthropic: Claude Haiku 4.5 (batch)
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...
- 컨텍스트
- 200K
- 입력
- text · image · file
- 출력
- text
qwenQwen: Qwen3 VL 8B Thinking
Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and...
- 컨텍스트
- 131K
- 입력
- image · text
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- text
qwenQwen: Qwen3 VL 8B Instruct
Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...
- 컨텍스트
- 262K
- 입력
- image · text
- 출력
- text
openaiOpenAI: GPT-5 Image
GPT-5 Image combines OpenAI's GPT-5 model with state-of-the-art image generation capabilities. It offers major improvements in reasoning, code quality, and user experience while incorporating GPT Image 1's superior instruction following,...
- 컨텍스트
- 400K
- 입력
- image · text · file
- 출력
- image · text
googleGoogle: Nano Banana (Gemini 2.5 Flash Image)
Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation,...
- 컨텍스트
- 33K
- 입력
- image · text
- 출력
- image · text