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OpenRouterで現在公開されているすべてのモデルを検索し、モダリティ、コンテキスト、料金、設定、プロバイダー情報を比較できます。
- カタログ範囲
- 公開モデルすべて
- モデル
- 534
- プロバイダー
- 75
- 最終同期
- 2026/08/31
openaiOpenAI: o3 Mini
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the reasoningeffort parameter, which can be set to...
- コンテキスト
- 200K
- 入力
- text · file
- 出力
- text
mistralaiMistral: Mistral Small 3
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...
- コンテキスト
- 33K
- 入力
- text
- 出力
- text
perplexityPerplexity: Sonar
Sonar is lightweight, affordable, fast, and simple to use — now featuring citations and the ability to customize sources. It is designed for companies seeking to integrate lightweight question-and-answer features...
- コンテキスト
- 127K
- 入力
- text · image
- 出力
- text
deepseekDeepSeek: R1 Distill Llama 70B
DeepSeek R1 Distill Llama 70B is a distilled large language model based on Llama-3.3-70B-Instruct, using outputs from DeepSeek R1. The model combines advanced distillation techniques to achieve high performance across...
- コンテキスト
- 8K
- 入力
- text
- 出力
- text
deepseekDeepSeek: R1
DeepSeek R1 is here: Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....
- コンテキスト
- 64K
- 入力
- text
- 出力
- text
minimaxMiniMax: MiniMax-01
MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...
- コンテキスト
- 1.0M
- 入力
- text · image
- 出力
- text
microsoftMicrosoft: Phi 4
Microsoft Research Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion...
- コンテキスト
- 16K
- 入力
- text
- 出力
- text
deepseekDeepSeek: DeepSeek V3
DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...
- コンテキスト
- 164K
- 入力
- text
- 出力
- text
sao10kSao10K: Llama 3.3 Euryale 70B
Euryale L3.3 70B is a model focused on creative roleplay from Sao10k. It is the successor of Euryale L3 70B v2.2.
- コンテキスト
- 131K
- 入力
- text
- 出力
- text
openaiOpenAI: o1
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
- コンテキスト
- 200K
- 入力
- text · image · file
- 出力
- text
cohereCohere: Command R7B (12-2024)
Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning...
- コンテキスト
- 128K
- 入力
- text
- 出力
- text
meta-llamaMeta: Llama 3.3 70B Instruct
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
- コンテキスト
- 131K
- 入力
- text
- 出力
- text
amazonAmazon: Nova Lite 1.0
Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite...
- コンテキスト
- 300K
- 入力
- text · image
- 出力
- text
amazonAmazon: Nova Micro 1.0
Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length...
- コンテキスト
- 128K
- 入力
- text
- 出力
- text
amazonAmazon: Nova Pro 1.0
Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December...
- コンテキスト
- 300K
- 入力
- text · image
- 出力
- text
openaiOpenAI: GPT-4o (2024-11-20)
The 2024-11-20 version of GPT-4o offers a leveled-up creative writing ability with more natural, engaging, and tailored writing to improve relevance & readability. It’s also better at working with uploaded...
- コンテキスト
- 128K
- 入力
- text · image · file
- 出力
- text
mistralaiMistral Large 2407
This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement here....
- コンテキスト
- 131K
- 入力
- text · file
- 出力
- text
qwenQwen2.5 Coder 32B Instruct
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in code generation, code reasoning...
- コンテキスト
- 33K
- 入力
- text
- 出力
- text
thedrummerTheDrummer: UnslopNemo 12B
UnslopNemo v4.1 is the latest addition from the creator of Rocinante, designed for adventure writing and role-play scenarios.
- コンテキスト
- 1.0M
- 入力
- text
- 出力
- text
anthracite-orgMagnum v4 72B
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tuned on top of Qwen2.5 72B.
- コンテキスト
- 33K
- 入力
- text
- 出力
- text
qwenQwen: Qwen2.5 7B Instruct
Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
- コンテキスト
- 33K
- 入力
- text
- 出力
- text
meta-llamaMeta: Llama 3.2 1B Instruct
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...
- コンテキスト
- 60K
- 入力
- text
- 出力
- text
meta-llamaMeta: Llama 3.2 3B Instruct
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...
- コンテキスト
- 131K
- 入力
- text
- 出力
- text
qwenQwen2.5 72B Instruct
Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
- コンテキスト
- 33K
- 入力
- text
- 出力
- text