AI 模型雷达
把 AI 模型放在一起比较
收录 OpenRouter 当前公开的全部模型，统一呈现模态、上下文窗口、价格、配置与提供方信息，并持续增量更新。
- 目录范围
- 全部公开
- 个模型
- 688
- 个提供方
- 97
- 最近同步
- 2026年10月29日
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...
- 上下文
- 暂未提供
- 输入
- text
- 输出
- 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...
- 上下文
- 1.0M
- 输入
- text · image
- 输出
- 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,...
- 上下文
- 66K
- 输入
- text · image
- 输出
- decisions
~liquidLiquidAI: d1-ultra Latest
This model always redirects to the latest model in the d1-ultra family.
- 上下文
- 33K
- 输入
- text · image
- 输出
- decisions
~liquidLiquidAI: d1 Latest
This model always redirects to the latest model in the d1 family.
- 上下文
- 66K
- 输入
- text · image
- 输出
- 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...
- 上下文
- 0K
- 输入
- text · image
- 输出
- 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...
- 上下文
- 8K
- 输入
- text
- 输出
- 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...
- 上下文
- 8K
- 输入
- text
- 输出
- 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...
- 上下文
- 1.1M
- 输入
- file · image · text
- 输出
- 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...
- 上下文
- 1.1M
- 输入
- file · image · text
- 输出
- 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...
- 上下文
- 1.1M
- 输入
- file · image · text
- 输出
- 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...
- 上下文
- 1.1M
- 输入
- file · image · text
- 输出
- 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...
- 上下文
- 暂未提供
- 输入
- text
- 输出
- 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...
- 上下文
- 暂未提供
- 输入
- text
- 输出
- 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...
- 上下文
- 1.0M
- 输入
- text · image · video
- 输出
- 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...
- 上下文
- 262K
- 输入
- text
- 输出
- 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...
- 上下文
- 16K
- 输入
- text
- 输出
- 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...
- 上下文
- 16K
- 输入
- text
- 输出
- 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,...
- 上下文
- 262K
- 输入
- text · image
- 输出
- 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...
- 上下文
- 33K
- 输入
- text · image
- 输出
- embeddings
nvidiaNVIDIA: Nemotron 3.5 Embed 8B (free)
Nemotron 3.5 Embed 8B 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...
- 上下文
- 33K
- 输入
- text · image
- 输出
- embeddings
nvidiaNVIDIA: Nemotron 3.5 Rerank 8B (free)
输入: text, image · 输出: rerank
- 上下文
- 33K
- 输入
- text · image
- 输出
- rerank
mistralaiMistral: Voxtral TTS 3
Voxtral TTS 3 is Mistral's text-to-speech model. It converts text into natural-sounding speech, offers a library of preset voices, supports zero-shot voice cloning, and accepts emotion and pace tags in...
- 上下文
- 4K
- 输入
- text
- 输出
- speech
mistralaiMistral: Voxtral Small Transcribe 3
Voxtral Small Transcribe 3 is Mistral's flagship speech-to-text model. It takes audio input and returns a transcript with timestamps and speaker diarization, and supports context biasing for domain-specific vocabulary. Suited...
- 上下文
- 66K
- 输入
- audio
- 输出
- transcription