刚刚关注了Google AI studio官网发现models中已经出现了gemini-1.5-pro模型的相关信息：
亮点在于速率限制一栏中，预计开放之后每天可以免费调用50次。
模型特色：
超长的上下文窗口（10M，也就是比最近火热的kimi还要长5倍！），以及卓越的多模态能力（文本、图片、视频）。
模型性能：
与超大杯（Ultra）在知识问答、推理、coding、多语言上互有胜负，也就是接近GPT-4级别的文本能力：
模型开放情况：
经过使用之前已经通过gemini-1.5-pro前期试用的账户中开通的API对v1beta接口查看模型列表，如下所示并没有发现gemini-1.5-pro的身影：
root@iZt4n9bibw8mk6t2jkkm7hZ:~# curl https://generativelanguage.googleapis.com/v1beta/models?key=XXXX
{
"models": [
{
"name": "models/chat-bison-001",
"version": "001",
"displayName": "PaLM 2 Chat (Legacy)",
"description": "A legacy text-only model optimized for chat conversations",
"inputTokenLimit": 4096,
"outputTokenLimit": 1024,
"supportedGenerationMethods": [
"generateMessage",
"countMessageTokens"
],
"temperature": 0.25,
"topP": 0.95,
"topK": 40
},
{
"name": "models/text-bison-001",
"version": "001",
"displayName": "PaLM 2 (Legacy)",
"description": "A legacy model that understands text and generates text as an output",
"inputTokenLimit": 8196,
"outputTokenLimit": 1024,
"supportedGenerationMethods": [
"generateText",
"countTextTokens",
"createTunedTextModel"
],
"temperature": 0.7,
"topP": 0.95,
"topK": 40
},
{
"name": "models/embedding-gecko-001",
"version": "001",
"displayName": "Embedding Gecko",
"description": "Obtain a distributed representation of a text.",
"inputTokenLimit": 1024,
"outputTokenLimit": 1,
"supportedGenerationMethods": [
"embedText",
"countTextTokens"
]
},
{
"name": "models/gemini-1.0-pro",
"version": "001",
"displayName": "Gemini 1.0 Pro",
"description": "The best model for scaling across a wide range of tasks",
"inputTokenLimit": 30720,
"outputTokenLimit": 2048,
"supportedGenerationMethods": [
"generateContent",
"countTokens"
],
"temperature": 0.9,
"topP": 1,
"topK": 1
},
{
"name": "models/gemini-1.0-pro-001",
"version": "001",
"displayName": "Gemini 1.0 Pro 001 (Tuning)",
"description": "The best model for scaling across a wide range of tasks. This is a stable model that supports tuning.",
"inputTokenLimit": 30720,
"outputTokenLimit": 2048,
"supportedGenerationMethods": [
"generateContent",
"countTokens",
"createTunedModel"
],
"temperature": 0.9,
"topP": 1,
"topK": 1
},
{
"name": "models/gemini-1.0-pro-latest",
"version": "001",
"displayName": "Gemini 1.0 Pro Latest",
"description": "The best model for scaling across a wide range of tasks. This is the latest model.",
"inputTokenLimit": 30720,
"outputTokenLimit": 2048,
"supportedGenerationMethods": [
"generateContent",
"countTokens"
],
"temperature": 0.9,
"topP": 1,
"topK": 1
},
{
"name": "models/gemini-1.0-pro-vision-latest",
"version": "001",
"displayName": "Gemini 1.0 Pro Vision",
"description": "The best image understanding model to handle a broad range of applications",
"inputTokenLimit": 12288,
"outputTokenLimit": 4096,
"supportedGenerationMethods": [
"generateContent",
"countTokens"
],
"temperature": 0.4,
"topP": 1,
"topK": 32
},
{
"name": "models/gemini-pro",
"version": "001",
"displayName": "Gemini 1.0 Pro",
"description": "The best model for scaling across a wide range of tasks",
"inputTokenLimit": 30720,
"outputTokenLimit": 2048,
"supportedGenerationMethods": [
"generateContent",
"countTokens"
],
"temperature": 0.9,
"topP": 1,
"topK": 1
},
{
"name": "models/gemini-pro-vision",
"version": "001",
"displayName": "Gemini 1.0 Pro Vision",
"description": "The best image understanding model to handle a broad range of applications",
"inputTokenLimit": 12288,
"outputTokenLimit": 4096,
"supportedGenerationMethods": [
"generateContent",
"countTokens"
],
"temperature": 0.4,
"topP": 1,
"topK": 32
},
{
"name": "models/embedding-001",
"version": "001",
"displayName": "Embedding 001",
"description": "Obtain a distributed representation of a text.",
"inputTokenLimit": 2048,
"outputTokenLimit": 1,
"supportedGenerationMethods": [
"embedContent"
]
},
{
"name": "models/aqa",
"version": "001",
"displayName": "Model that performs Attributed Question Answering.",
"description": "Model trained to return answers to questions that are grounded in provided sources, along with estimating answerable probability.",
"inputTokenLimit": 7168,
"outputTokenLimit": 1024,
"supportedGenerationMethods": [
"generateAnswer"
],
"temperature": 0.2,
"topP": 1,
"topK": 40
}
]
}
让子弹再飞一会儿！