AIモデルレーダー
AIモデルを 同じ基準で比較
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
- 691
- プロバイダー
- 98
- 最終同期
- 2026/10/31
tbcTBC: mischief 1
TBC mischief 1 is the world's first neuron-derived video model from The Biological Computing Co. It supports image to video and is a fast and affordable way to bring ideas...
- コンテキスト
- 情報なし
- 入力
- text · image
- 出力
- video
basetenBaseten: Joey 1
Joey 1 is a 2B decision model from Base Labs, Baseten's research team, built on Qwen3.5-2B. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal...
- コンテキスト
- 16K
- 入力
- text · image
- 出力
- decisions
sourcefulSourceful: Riverflow V2.6 Pro
Riverflow 2.6 Pro is the flagship model of Sourceful's Riverflow 2.6 lineup, a unified text-to-image and image-to-image family that treats generation as a production workflow: an integrated reasoning model plans...
- コンテキスト
- 33K
- 入力
- text · image
- 出力
- image
nvidiaNVIDIA: Nemotron 3.5 Transcribe
Nemotron 3.5 Transcribe is an open-weight speech recognition model from NVIDIA, a 30B mixture-of-experts with about 4B active parameters. It transcribes recordings of up to one hour in 40 languages,...
- コンテキスト
- 情報なし
- 入力
- audio
- 出力
- transcription
assemblyaiAssemblyAI: TTS 1
AssemblyAI TTS 1 is a text-to-speech model from AssemblyAI. It is suited for voice agents, narration, and multilingual applications, and draws on a public library of several thousand voices across...
- コンテキスト
- 情報なし
- 入力
- text
- 出力
- speech
particle-aiParticle AI: Particle-1
Particle-1 is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash. It is suited for software engineering work such as terminal workflows, codebase changes, and data...
- コンテキスト
- 1.0M
- 入力
- text · image
- 出力
- text
liquidLiquidAI: d1.1
d1.1 is Liquid AI's structured decision model, served as a System One endpoint and the successor to d1. Send a state along with typed questions, and it returns a choice,...
- コンテキスト
- 66K
- 入力
- text · image
- 出力
- decisions
~liquidLiquidAI: d1-ultra Latest
This model always redirects to the latest model in the d1-ultra family.
- コンテキスト
- 33K
- 入力
- text · image
- 出力
- decisions
~liquidLiquidAI: d1 Latest
This model always redirects to the latest model in the d1 family.
- コンテキスト
- 66K
- 入力
- text · image
- 出力
- decisions
amazonAmazon: Titan Multimodal Embeddings G1
Amazon Titan Multimodal Embeddings G1 embeds text, images, or text and image together into a shared vector space for multimodal search and recommendation. Images are sent as base64 (up to...
- コンテキスト
- 0K
- 入力
- text · image
- 出力
- embeddings
amazonAmazon: Titan Embeddings G1 - Text
Amazon Titan Embeddings G1 - Text is the first-generation Titan text embedding model. It accepts up to 8,192 tokens per input and returns fixed 1,536-dimension vectors; the dimensions parameter is...
- コンテキスト
- 8K
- 入力
- text
- 出力
- embeddings
amazonAmazon: Titan Text Embeddings V2
Amazon Titan Text Embeddings V2 is a text embedding model for retrieval, search, and clustering. It accepts up to 8,192 tokens per input and returns normalized vectors of 1,024 dimensions...
- コンテキスト
- 8K
- 入力
- text
- 出力
- embeddings
openaiOpenAI: GPT-6.1 Terra Pro
GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...
- コンテキスト
- 1.1M
- 入力
- file · image · text
- 出力
- text
openaiOpenAI: GPT-6.1 Terra Pro (batch)
GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...
- コンテキスト
- 1.1M
- 入力
- file · image · text
- 出力
- text
openaiOpenAI: GPT-6.1 Terra
GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots...
- コンテキスト
- 1.1M
- 入力
- file · image · text
- 出力
- text
openaiOpenAI: GPT-6.1 Terra (batch)
GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots...
- コンテキスト
- 1.1M
- 入力
- file · image · text
- 出力
- text
heygenHeyGen: HeyGen Voice Turbo
HeyGen Voice Turbo is a lower-latency version of HeyGen Voice, HeyGen's text-to-speech model. It has the same 10 default voices, or bring your own HeyGen key to use voice clones...
- コンテキスト
- 情報なし
- 入力
- text
- 出力
- speech
heygenHeyGen: HeyGen Voice Turbo (free)
HeyGen Voice Turbo is a lower-latency version of HeyGen Voice, HeyGen's text-to-speech model. It has the same 10 default voices, or bring your own HeyGen key to use voice clones...
- コンテキスト
- 情報なし
- 入力
- text
- 出力
- speech
moonshotaiMoonshotAI: Kimi K3.1 Pro
Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window. It is built for long-horizon coding, 3D...
- コンテキスト
- 1.0M
- 入力
- text · image · video
- 出力
- text
recursiveRecursive: Flint (free)
Flint is an open-weight mixture-of-experts model from Recursive, with about 2.5B active parameters out of 40B total, built by Recursive's autoresearch system Eureka Machine for coding agents. It is suited...
- コンテキスト
- 262K
- 入力
- text
- 出力
- text
basetenBaseten: Mammoth 1
Mammoth 1 is a 27B decision model from Base Labs, Baseten's research team, built on Qwen3.5-27B. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal...
- コンテキスト
- 16K
- 入力
- text · image
- 出力
- decisions
basetenBaseten: Elephant 1
Elephant 1 is a 9B decision model from Base Labs, Baseten's research team, built on Qwen3.5-9B. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal...
- コンテキスト
- 16K
- 入力
- text · image
- 出力
- decisions
nace-aiNace.AI: Drex Max
Drex Max is the largest decision model from Nace.AI, the successor to Drex v2.0. Given a state (text, JSON, or up to four images) and typed questions (yes/no, multiple choice,...
- コンテキスト
- 262K
- 入力
- text · image
- 出力
- decisions
nvidiaNVIDIA: Nemotron 3.5 Embed 1B (free)
Nemotron 3.5 Embed 1B is a multimodal embedding model from NVIDIA for multilingual retrieval over text and document page images (tables, charts, infographics). Queries are text and documents can be...
- コンテキスト
- 33K
- 入力
- text · image
- 出力
- embeddings