mirror of
https://github.com/lobehub/lobe-chat.git
synced 2026-06-15 20:16:02 +00:00
💄 style: Add o3/o4-mini models (#7448)
* Update openai.ts * Update azure.ts * Update azureai.ts * Update openrouter.ts * Update openrouter.ts * Update openrouter.ts * Update github.ts * Update groq.ts * Update cohere.ts * Update volcengine.ts
This commit is contained in:
@@ -1,6 +1,54 @@
|
||||
import { AIChatModelCard } from '@/types/aiModel';
|
||||
|
||||
const azureChatModels: AIChatModelCard[] = [
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
reasoning: true,
|
||||
vision: true,
|
||||
},
|
||||
config: {
|
||||
deploymentName: 'o3',
|
||||
},
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o3 是一款全能强大的模型,在多个领域表现出色。它为数学、科学、编程和视觉推理任务树立了新标杆。它也擅长技术写作和指令遵循。用户可利用它分析文本、代码和图像,解决多步骤的复杂问题。',
|
||||
displayName: 'o3',
|
||||
enabled: true,
|
||||
id: 'o3',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
cachedInput: 2.5,
|
||||
input: 10,
|
||||
output: 40,
|
||||
},
|
||||
releasedAt: '2025-04-17',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
reasoning: true,
|
||||
vision: true,
|
||||
},
|
||||
config: {
|
||||
deploymentName: 'o4-mini',
|
||||
},
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o4-mini 是我们最新的小型 o 系列模型。 它专为快速有效的推理而优化,在编码和视觉任务中表现出极高的效率和性能。',
|
||||
displayName: 'o4-mini',
|
||||
enabled: true,
|
||||
id: 'o4-mini',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
cachedInput: 0.275,
|
||||
input: 1.1,
|
||||
output: 4.4,
|
||||
},
|
||||
releasedAt: '2025-04-17',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
@@ -59,7 +107,6 @@ const azureChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'GPT-4.1 mini 提供了智能、速度和成本之间的平衡,使其成为许多用例中有吸引力的模型。',
|
||||
displayName: 'GPT-4.1 nano',
|
||||
enabled: true,
|
||||
id: 'gpt-4.1-nano',
|
||||
maxOutput: 32_768,
|
||||
pricing: {
|
||||
@@ -81,7 +128,7 @@ const azureChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o3-mini 是我们最新的小型推理模型,在与 o1-mini 相同的成本和延迟目标下提供高智能。',
|
||||
displayName: 'OpenAI o3-mini',
|
||||
displayName: 'o3-mini',
|
||||
id: 'o3-mini',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
@@ -102,8 +149,7 @@ const azureChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'o1-mini是一款针对编程、数学和科学应用场景而设计的快速、经济高效的推理模型。该模型具有128K上下文和2023年10月的知识截止日期。',
|
||||
displayName: 'OpenAI o1-mini',
|
||||
enabled: true,
|
||||
displayName: 'o1-mini',
|
||||
id: 'o1-mini',
|
||||
maxOutput: 65_536,
|
||||
pricing: {
|
||||
@@ -124,8 +170,7 @@ const azureChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o1是OpenAI新的推理模型,支持图文输入并输出文本,适用于需要广泛通用知识的复杂任务。该模型具有200K上下文和2023年10月的知识截止日期。',
|
||||
displayName: 'OpenAI o1',
|
||||
enabled: true,
|
||||
displayName: 'o1',
|
||||
id: 'o1',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
@@ -146,7 +191,7 @@ const azureChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'o1是OpenAI新的推理模型,适用于需要广泛通用知识的复杂任务。该模型具有128K上下文和2023年10月的知识截止日期。',
|
||||
displayName: 'OpenAI o1-preview',
|
||||
displayName: 'o1-preview',
|
||||
id: 'o1-preview',
|
||||
maxOutput: 32_768,
|
||||
pricing: {
|
||||
@@ -205,7 +250,6 @@ const azureChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 128_000,
|
||||
description: 'GPT-4o Mini,小型高效模型,具备与GPT-4o相似的卓越性能。',
|
||||
displayName: 'GPT 4o Mini',
|
||||
enabled: true,
|
||||
id: 'gpt-4o-mini',
|
||||
maxOutput: 4096,
|
||||
pricing: {
|
||||
|
||||
@@ -27,6 +27,46 @@ const azureChatModels: AIChatModelCard[] = [
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
reasoning: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o3 是一款全能强大的模型,在多个领域表现出色。它为数学、科学、编程和视觉推理任务树立了新标杆。它也擅长技术写作和指令遵循。用户可利用它分析文本、代码和图像,解决多步骤的复杂问题。',
|
||||
displayName: 'o3',
|
||||
id: 'o3',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
cachedInput: 2.5,
|
||||
input: 10,
|
||||
output: 40,
|
||||
},
|
||||
releasedAt: '2025-04-17',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
reasoning: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o4-mini 是我们最新的小型 o 系列模型。 它专为快速有效的推理而优化,在编码和视觉任务中表现出极高的效率和性能。',
|
||||
displayName: 'o4-mini',
|
||||
id: 'o4-mini',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
cachedInput: 0.275,
|
||||
input: 1.1,
|
||||
output: 4.4,
|
||||
},
|
||||
releasedAt: '2025-04-17',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
@@ -76,7 +116,6 @@ const azureChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'GPT-4.1 mini 提供了智能、速度和成本之间的平衡,使其成为许多用例中有吸引力的模型。',
|
||||
displayName: 'GPT-4.1 nano',
|
||||
enabled: true,
|
||||
id: 'gpt-4.1-nano',
|
||||
maxOutput: 32_768,
|
||||
pricing: {
|
||||
|
||||
@@ -8,7 +8,7 @@ const cohereChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 256_000,
|
||||
description:
|
||||
'Command A 是我们迄今为止性能最强的模型,在工具使用、代理、检索增强生成(RAG)和多语言应用场景方面表现出色。Command A 具有 256K 的上下文长度,仅需两块 GPU 即可运行,并且相比于 Command R+ 08-2024,吞吐量提高了 150%。',
|
||||
displayName: 'Command A 03-2025',
|
||||
displayName: 'Command A 2503',
|
||||
enabled: true,
|
||||
id: 'command-a-03-2025',
|
||||
maxOutput: 8000,
|
||||
@@ -25,24 +25,7 @@ const cohereChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'command-r-plus 是 command-r-plus-04-2024 的别名,因此如果您在 API 中使用 command-r-plus,实际上指向的就是该模型。',
|
||||
displayName: 'Command R+',
|
||||
enabled: true,
|
||||
id: 'command-r-plus',
|
||||
maxOutput: 4000,
|
||||
pricing: {
|
||||
input: 2.5,
|
||||
output: 10
|
||||
},
|
||||
type: 'chat'
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'Command R+ 是一个遵循指令的对话模型,在语言任务方面表现出更高的质量、更可靠,并且相比以往模型具有更长的上下文长度。它最适用于复杂的 RAG 工作流和多步工具使用。',
|
||||
displayName: 'Command R+ 04-2024',
|
||||
displayName: 'Command R+ 2404',
|
||||
id: 'command-r-plus-04-2024',
|
||||
maxOutput: 4000,
|
||||
pricing: {
|
||||
@@ -57,10 +40,26 @@ const cohereChatModels: AIChatModelCard[] = [
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'command-r 是 command-c-03-2024 的别名,因此如果您在 API 中使用 command-r,实际上指向的就是该模型。',
|
||||
displayName: 'Command R',
|
||||
'Command R+ 是一个遵循指令的对话模型,在语言任务方面表现出更高的质量、更可靠,并且相比以往模型具有更长的上下文长度。它最适用于复杂的 RAG 工作流和多步工具使用。',
|
||||
displayName: 'Command R+ 2408',
|
||||
enabled: true,
|
||||
id: 'command-r',
|
||||
id: 'command-r-plus-08-2024',
|
||||
maxOutput: 4000,
|
||||
pricing: {
|
||||
input: 2.5,
|
||||
output: 10
|
||||
},
|
||||
type: 'chat'
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'command-r 是一种遵循指令的会话模型,与以前的模型相比,它以更高的质量、更可靠的方式和更长的上下文执行语言任务。它可用于复杂的工作流程,如代码生成、检索增强生成(RAG)、工具使用和代理。',
|
||||
displayName: 'Command R 2403',
|
||||
id: 'command-r-03-2024',
|
||||
maxOutput: 4000,
|
||||
pricing: {
|
||||
input: 0.15,
|
||||
@@ -75,7 +74,8 @@ const cohereChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'command-r-08-2024 是 Command R 模型的更新版本,于 2024 年 8 月发布。',
|
||||
displayName: 'Command R 08-2024',
|
||||
displayName: 'Command R 2408',
|
||||
enabled: true,
|
||||
id: 'command-r-08-2024',
|
||||
maxOutput: 4000,
|
||||
pricing: {
|
||||
@@ -91,7 +91,7 @@ const cohereChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'Command R 是一个遵循指令的对话模型,在语言任务方面表现出更高的质量、更可靠,并且相比以往模型具有更长的上下文长度。它可用于复杂的工作流程,如代码生成、检索增强生成(RAG)、工具使用和代理。',
|
||||
displayName: 'Command R 03-2024',
|
||||
displayName: 'Command R 2403',
|
||||
id: 'command-r-03-2024',
|
||||
maxOutput: 4000,
|
||||
pricing: {
|
||||
@@ -107,8 +107,7 @@ const cohereChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'command-r7b-12-2024 是一个小型且高效的更新版本,于 2024 年 12 月发布。它在 RAG、工具使用、代理等需要复杂推理和多步处理的任务中表现出色。',
|
||||
displayName: 'Command R7B 12-2024',
|
||||
enabled: true,
|
||||
displayName: 'Command R7B 2412',
|
||||
id: 'command-r7b-12-2024',
|
||||
maxOutput: 4000,
|
||||
pricing: {
|
||||
@@ -122,7 +121,6 @@ const cohereChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'一个遵循指令的对话模型,在语言任务中表现出高质量、更可靠,并且相比我们的基础生成模型具有更长的上下文长度。',
|
||||
displayName: 'Command',
|
||||
enabled: true,
|
||||
id: 'command',
|
||||
maxOutput: 4000,
|
||||
pricing: {
|
||||
@@ -152,7 +150,6 @@ const cohereChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'一个更小、更快的 Command 版本,几乎同样强大,但速度更快。',
|
||||
displayName: 'Command Light',
|
||||
enabled: true,
|
||||
id: 'command-light',
|
||||
maxOutput: 4000,
|
||||
pricing: {
|
||||
|
||||
+131
-16
@@ -1,6 +1,106 @@
|
||||
import { AIChatModelCard } from '@/types/aiModel';
|
||||
|
||||
const githubChatModels: AIChatModelCard[] = [
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
reasoning: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o3 是一款全能强大的模型,在多个领域表现出色。它为数学、科学、编程和视觉推理任务树立了新标杆。它也擅长技术写作和指令遵循。用户可利用它分析文本、代码和图像,解决多步骤的复杂问题。',
|
||||
displayName: 'o3',
|
||||
id: 'o3',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
cachedInput: 2.5,
|
||||
input: 10,
|
||||
output: 40,
|
||||
},
|
||||
releasedAt: '2025-04-17',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
reasoning: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o4-mini 是我们最新的小型 o 系列模型。 它专为快速有效的推理而优化,在编码和视觉任务中表现出极高的效率和性能。',
|
||||
displayName: 'o4-mini',
|
||||
enabled: true,
|
||||
id: 'o4-mini',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
cachedInput: 0.275,
|
||||
input: 1.1,
|
||||
output: 4.4,
|
||||
},
|
||||
releasedAt: '2025-04-17',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 1_047_576,
|
||||
description:
|
||||
'GPT-4.1 是我们用于复杂任务的旗舰模型。它非常适合跨领域解决问题。',
|
||||
displayName: 'GPT-4.1',
|
||||
enabled: true,
|
||||
id: 'gpt-4.1',
|
||||
maxOutput: 32_768,
|
||||
pricing: {
|
||||
cachedInput: 0.5,
|
||||
input: 2,
|
||||
output: 8,
|
||||
},
|
||||
releasedAt: '2025-04-14',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 1_047_576,
|
||||
description:
|
||||
'GPT-4.1 mini 提供了智能、速度和成本之间的平衡,使其成为许多用例中有吸引力的模型。',
|
||||
displayName: 'GPT-4.1 mini',
|
||||
enabled: true,
|
||||
id: 'gpt-4.1-mini',
|
||||
maxOutput: 32_768,
|
||||
pricing: {
|
||||
cachedInput: 0.1,
|
||||
input: 0.4,
|
||||
output: 1.6,
|
||||
},
|
||||
releasedAt: '2025-04-14',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 1_047_576,
|
||||
description:
|
||||
'GPT-4.1 nano 是最快,最具成本效益的GPT-4.1模型。',
|
||||
displayName: 'GPT-4.1 nano',
|
||||
id: 'gpt-4.1-nano',
|
||||
maxOutput: 32_768,
|
||||
pricing: {
|
||||
cachedInput: 0.025,
|
||||
input: 0.1,
|
||||
output: 0.4,
|
||||
},
|
||||
releasedAt: '2025-04-14',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
@@ -9,24 +109,33 @@ const githubChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o3-mini 是我们最新的小型推理模型,在与 o1-mini 相同的成本和延迟目标下提供高智能。',
|
||||
displayName: 'OpenAI o3-mini',
|
||||
enabled: true,
|
||||
displayName: 'o3-mini',
|
||||
id: 'o3-mini',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
cachedInput: 0.55,
|
||||
input: 1.1,
|
||||
output: 4.4,
|
||||
},
|
||||
releasedAt: '2025-01-31',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
reasoning: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description: '比 o1-preview 更小、更快,成本低80%,在代码生成和小上下文操作方面表现良好。',
|
||||
displayName: 'OpenAI o1-mini',
|
||||
enabled: true,
|
||||
description:
|
||||
'o1-mini是一款针对编程、数学和科学应用场景而设计的快速、经济高效的推理模型。该模型具有128K上下文和2023年10月的知识截止日期。',
|
||||
displayName: 'o1-mini',
|
||||
id: 'o1-mini',
|
||||
maxOutput: 65_536,
|
||||
pricing: {
|
||||
cachedInput: 0.55,
|
||||
input: 1.1,
|
||||
output: 4.4,
|
||||
},
|
||||
releasedAt: '2024-09-12',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
@@ -37,24 +146,32 @@ const githubChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o1是OpenAI新的推理模型,支持图文输入并输出文本,适用于需要广泛通用知识的复杂任务。该模型具有200K上下文和2023年10月的知识截止日期。',
|
||||
displayName: 'OpenAI o1',
|
||||
enabled: true,
|
||||
displayName: 'o1',
|
||||
id: 'o1',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
cachedInput: 7.5,
|
||||
input: 15,
|
||||
output: 60,
|
||||
},
|
||||
releasedAt: '2024-12-17',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
reasoning: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'专注于高级推理和解决复杂问题,包括数学和科学任务。非常适合需要深度上下文理解和自主工作流程的应用。',
|
||||
displayName: 'OpenAI o1-preview',
|
||||
enabled: true,
|
||||
'o1是OpenAI新的推理模型,适用于需要广泛通用知识的复杂任务。该模型具有128K上下文和2023年10月的知识截止日期。',
|
||||
displayName: 'o1-preview',
|
||||
id: 'o1-preview',
|
||||
maxOutput: 32_768,
|
||||
pricing: {
|
||||
input: 15,
|
||||
output: 60,
|
||||
},
|
||||
releasedAt: '2024-09-12',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
@@ -64,8 +181,7 @@ const githubChatModels: AIChatModelCard[] = [
|
||||
},
|
||||
contextWindowTokens: 134_144,
|
||||
description: '一种经济高效的AI解决方案,适用于多种文本和图像任务。',
|
||||
displayName: 'OpenAI GPT-4o mini',
|
||||
enabled: true,
|
||||
displayName: 'GPT-4o mini',
|
||||
id: 'gpt-4o-mini',
|
||||
maxOutput: 4096,
|
||||
type: 'chat',
|
||||
@@ -77,8 +193,7 @@ const githubChatModels: AIChatModelCard[] = [
|
||||
},
|
||||
contextWindowTokens: 134_144,
|
||||
description: 'OpenAI GPT-4系列中最先进的多模态模型,可以处理文本和图像输入。',
|
||||
displayName: 'OpenAI GPT-4o',
|
||||
enabled: true,
|
||||
displayName: 'GPT-4o',
|
||||
id: 'gpt-4o',
|
||||
maxOutput: 16_384,
|
||||
type: 'chat',
|
||||
|
||||
+17
-101
@@ -4,6 +4,23 @@ import { AIChatModelCard } from '@/types/aiModel';
|
||||
// https://console.groq.com/docs/models
|
||||
|
||||
const groqChatModels: AIChatModelCard[] = [
|
||||
{
|
||||
contextWindowTokens: 131_072,
|
||||
description: 'Compound-beta 是一个复合 AI 系统,由 GroqCloud 中已经支持的多个开放可用的模型提供支持,可以智能地、有选择地使用工具来回答用户查询。',
|
||||
displayName: 'Compound Beta',
|
||||
enabled: true,
|
||||
id: 'compound-beta',
|
||||
maxOutput: 8192,
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
contextWindowTokens: 131_072,
|
||||
description: 'Compound-beta-mini 是一个复合 AI 系统,由 GroqCloud 中已经支持的公开可用模型提供支持,可以智能地、有选择地使用工具来回答用户查询。',
|
||||
displayName: 'Compound Beta Mini',
|
||||
id: 'compound-beta-mini',
|
||||
maxOutput: 8192,
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
contextWindowTokens: 131_072,
|
||||
displayName: 'Llama 4 Scout (17Bx16E)',
|
||||
@@ -68,21 +85,6 @@ const groqChatModels: AIChatModelCard[] = [
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
reasoning: true,
|
||||
},
|
||||
contextWindowTokens: 131_072,
|
||||
displayName: 'DeepSeek R1 Distill Qwen 32B',
|
||||
id: 'deepseek-r1-distill-qwen-32b',
|
||||
maxOutput: 16_384,
|
||||
pricing: {
|
||||
input: 0.69,
|
||||
output: 0.69,
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
@@ -112,69 +114,6 @@ const groqChatModels: AIChatModelCard[] = [
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 131_072,
|
||||
description: 'Llama 3.2 旨在处理结合视觉和文本数据的任务。它在图像描述和视觉问答等任务中表现出色,跨越了语言生成和视觉推理之间的鸿沟。',
|
||||
displayName: 'Llama 3.2 11B Vision (Preview)',
|
||||
id: 'llama-3.2-11b-vision-preview',
|
||||
maxOutput: 8192,
|
||||
pricing: {
|
||||
input: 0.18,
|
||||
output: 0.18,
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 131_072,
|
||||
description: 'Llama 3.2 旨在处理结合视觉和文本数据的任务。它在图像描述和视觉问答等任务中表现出色,跨越了语言生成和视觉推理之间的鸿沟。',
|
||||
displayName: 'Llama 3.2 90B Vision (Preview)',
|
||||
enabled: true,
|
||||
id: 'llama-3.2-90b-vision-preview',
|
||||
maxOutput: 8192,
|
||||
pricing: {
|
||||
input: 0.9,
|
||||
output: 0.9,
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
contextWindowTokens: 131_072,
|
||||
displayName: 'Llama 3.2 1B (Preview)',
|
||||
id: 'llama-3.2-1b-preview',
|
||||
maxOutput: 8192,
|
||||
pricing: {
|
||||
input: 0.04,
|
||||
output: 0.04,
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
contextWindowTokens: 131_072,
|
||||
displayName: 'Llama 3.2 3B (Preview)',
|
||||
id: 'llama-3.2-3b-preview',
|
||||
maxOutput: 8192,
|
||||
pricing: {
|
||||
input: 0.06,
|
||||
output: 0.06,
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
contextWindowTokens: 8192,
|
||||
displayName: 'Llama 3.3 70B SpecDec',
|
||||
id: 'llama-3.3-70b-specdec',
|
||||
pricing: {
|
||||
input: 0.59,
|
||||
output: 0.99,
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
@@ -236,29 +175,6 @@ const groqChatModels: AIChatModelCard[] = [
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
},
|
||||
contextWindowTokens: 131_072,
|
||||
displayName: 'Qwen 2.5 32B',
|
||||
id: 'qwen-2.5-32b',
|
||||
pricing: {
|
||||
input: 0.79,
|
||||
output: 0.79,
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
contextWindowTokens: 131_072,
|
||||
displayName: 'Qwen 2.5 Coder 32B',
|
||||
id: 'qwen-2.5-coder-32b',
|
||||
pricing: {
|
||||
input: 0.79,
|
||||
output: 0.79,
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
contextWindowTokens: 8192,
|
||||
displayName: 'Llama Guard 3 8B',
|
||||
|
||||
@@ -8,6 +8,48 @@ import {
|
||||
} from '@/types/aiModel';
|
||||
|
||||
export const openaiChatModels: AIChatModelCard[] = [
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
reasoning: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o3 是一款全能强大的模型,在多个领域表现出色。它为数学、科学、编程和视觉推理任务树立了新标杆。它也擅长技术写作和指令遵循。用户可利用它分析文本、代码和图像,解决多步骤的复杂问题。',
|
||||
displayName: 'o3',
|
||||
enabled: true,
|
||||
id: 'o3',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
cachedInput: 2.5,
|
||||
input: 10,
|
||||
output: 40,
|
||||
},
|
||||
releasedAt: '2025-04-17',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
reasoning: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o4-mini 是我们最新的小型 o 系列模型。 它专为快速有效的推理而优化,在编码和视觉任务中表现出极高的效率和性能。',
|
||||
displayName: 'o4-mini',
|
||||
enabled: true,
|
||||
id: 'o4-mini',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
cachedInput: 0.275,
|
||||
input: 1.1,
|
||||
output: 4.4,
|
||||
},
|
||||
releasedAt: '2025-04-17',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
@@ -55,9 +97,8 @@ export const openaiChatModels: AIChatModelCard[] = [
|
||||
},
|
||||
contextWindowTokens: 1_047_576,
|
||||
description:
|
||||
'GPT-4.1 mini 提供了智能、速度和成本之间的平衡,使其成为许多用例中有吸引力的模型。',
|
||||
'GPT-4.1 nano 是最快,最具成本效益的GPT-4.1模型。',
|
||||
displayName: 'GPT-4.1 nano',
|
||||
enabled: true,
|
||||
id: 'gpt-4.1-nano',
|
||||
maxOutput: 32_768,
|
||||
pricing: {
|
||||
@@ -76,8 +117,7 @@ export const openaiChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o3-mini 是我们最新的小型推理模型,在与 o1-mini 相同的成本和延迟目标下提供高智能。',
|
||||
displayName: 'OpenAI o3-mini',
|
||||
enabled: true,
|
||||
displayName: 'o3-mini',
|
||||
id: 'o3-mini',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
@@ -95,7 +135,7 @@ export const openaiChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'o1-mini是一款针对编程、数学和科学应用场景而设计的快速、经济高效的推理模型。该模型具有128K上下文和2023年10月的知识截止日期。',
|
||||
displayName: 'OpenAI o1-mini',
|
||||
displayName: 'o1-mini',
|
||||
id: 'o1-mini',
|
||||
maxOutput: 65_536,
|
||||
pricing: {
|
||||
@@ -114,8 +154,7 @@ export const openaiChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o1是OpenAI新的推理模型,支持图文输入并输出文本,适用于需要广泛通用知识的复杂任务。该模型具有200K上下文和2023年10月的知识截止日期。',
|
||||
displayName: 'OpenAI o1',
|
||||
enabled: true,
|
||||
displayName: 'o1',
|
||||
id: 'o1',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
@@ -133,7 +172,7 @@ export const openaiChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'o1是OpenAI新的推理模型,适用于需要广泛通用知识的复杂任务。该模型具有128K上下文和2023年10月的知识截止日期。',
|
||||
displayName: 'OpenAI o1-preview',
|
||||
displayName: 'o1-preview',
|
||||
id: 'o1-preview',
|
||||
maxOutput: 32_768,
|
||||
pricing: {
|
||||
|
||||
@@ -11,11 +11,168 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
reasoning: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o3 是一款全能强大的模型,在多个领域表现出色。它为数学、科学、编程和视觉推理任务树立了新标杆。它也擅长技术写作和指令遵循。用户可利用它分析文本、代码和图像,解决多步骤的复杂问题。',
|
||||
displayName: 'o3',
|
||||
id: 'o3',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
cachedInput: 2.5,
|
||||
input: 10,
|
||||
output: 40,
|
||||
},
|
||||
releasedAt: '2025-04-17',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
reasoning: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o4-mini 高推理等级版,专为快速有效的推理而优化,在编码和视觉任务中表现出极高的效率和性能。',
|
||||
displayName: 'o4-mini (high)',
|
||||
id: 'openai/o4-mini-high',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
cachedInput: 0.275,
|
||||
input: 1.1,
|
||||
output: 4.4,
|
||||
},
|
||||
releasedAt: '2025-04-17',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
reasoning: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o4-mini 专为快速有效的推理而优化,在编码和视觉任务中表现出极高的效率和性能。',
|
||||
displayName: 'o4-mini',
|
||||
id: 'openai/o4-mini',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
cachedInput: 0.275,
|
||||
input: 1.1,
|
||||
output: 4.4,
|
||||
},
|
||||
releasedAt: '2025-04-17',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 1_047_576,
|
||||
description:
|
||||
'GPT-4.1 是我们用于复杂任务的旗舰模型。它非常适合跨领域解决问题。',
|
||||
displayName: 'GPT-4.1',
|
||||
id: 'gpt-4.1',
|
||||
maxOutput: 32_768,
|
||||
pricing: {
|
||||
cachedInput: 0.5,
|
||||
input: 2,
|
||||
output: 8,
|
||||
},
|
||||
releasedAt: '2025-04-14',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 1_047_576,
|
||||
description:
|
||||
'GPT-4.1 mini 提供了智能、速度和成本之间的平衡,使其成为许多用例中有吸引力的模型。',
|
||||
displayName: 'GPT-4.1 mini',
|
||||
id: 'gpt-4.1-mini',
|
||||
maxOutput: 32_768,
|
||||
pricing: {
|
||||
cachedInput: 0.1,
|
||||
input: 0.4,
|
||||
output: 1.6,
|
||||
},
|
||||
releasedAt: '2025-04-14',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
vision: true,
|
||||
},
|
||||
contextWindowTokens: 1_047_576,
|
||||
description:
|
||||
'GPT-4.1 nano 是最快,最具成本效益的GPT-4.1模型。',
|
||||
displayName: 'GPT-4.1 nano',
|
||||
id: 'gpt-4.1-nano',
|
||||
maxOutput: 32_768,
|
||||
pricing: {
|
||||
cachedInput: 0.025,
|
||||
input: 0.1,
|
||||
output: 0.4,
|
||||
},
|
||||
releasedAt: '2025-04-14',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
reasoning: true,
|
||||
},
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o3-mini 高推理等级版,在与 o1-mini 相同的成本和延迟目标下提供高智能。',
|
||||
displayName: 'o3-mini (high)',
|
||||
id: 'o3-mini-high',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
cachedInput: 0.55,
|
||||
input: 1.1,
|
||||
output: 4.4,
|
||||
},
|
||||
releasedAt: '2025-01-31',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
reasoning: true,
|
||||
},
|
||||
contextWindowTokens: 200_000,
|
||||
description:
|
||||
'o3-mini 在与 o1-mini 相同的成本和延迟目标下提供高智能。',
|
||||
displayName: 'o3-mini',
|
||||
id: 'o3-mini',
|
||||
maxOutput: 100_000,
|
||||
pricing: {
|
||||
cachedInput: 0.55,
|
||||
input: 1.1,
|
||||
output: 4.4,
|
||||
},
|
||||
releasedAt: '2025-01-31',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
reasoning: true,
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'o1-mini是一款针对编程、数学和科学应用场景而设计的快速、经济高效的推理模型。该模型具有128K上下文和2023年10月的知识截止日期。',
|
||||
displayName: 'OpenAI o1-mini',
|
||||
enabled: true,
|
||||
displayName: 'o1-mini',
|
||||
id: 'openai/o1-mini',
|
||||
maxOutput: 65_536,
|
||||
pricing: {
|
||||
@@ -26,11 +183,13 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
reasoning: true,
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'o1是OpenAI新的推理模型,适用于需要广泛通用知识的复杂任务。该模型具有128K上下文和2023年10月的知识截止日期。',
|
||||
displayName: 'OpenAI o1-preview',
|
||||
enabled: true,
|
||||
displayName: 'o1-preview',
|
||||
id: 'openai/o1-preview',
|
||||
maxOutput: 32_768,
|
||||
pricing: {
|
||||
@@ -49,7 +208,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'GPT-4o mini是OpenAI在GPT-4 Omni之后推出的最新模型,支持图文输入并输出文本。作为他们最先进的小型模型,它比其他近期的前沿模型便宜很多,并且比GPT-3.5 Turbo便宜超过60%。它保持了最先进的智能,同时具有显著的性价比。GPT-4o mini在MMLU测试中获得了 82% 的得分,目前在聊天偏好上排名高于 GPT-4。',
|
||||
displayName: 'GPT-4o mini',
|
||||
enabled: true,
|
||||
id: 'openai/gpt-4o-mini',
|
||||
maxOutput: 16_385,
|
||||
pricing: {
|
||||
@@ -67,7 +225,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'ChatGPT-4o 是一款动态模型,实时更新以保持当前最新版本。它结合了强大的语言理解与生成能力,适合于大规模应用场景,包括客户服务、教育和技术支持。',
|
||||
displayName: 'GPT-4o',
|
||||
enabled: true,
|
||||
id: 'openai/gpt-4o',
|
||||
pricing: {
|
||||
input: 2.5,
|
||||
@@ -84,7 +241,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'Claude 3 Haiku 是 Anthropic 的最快且最紧凑的模型,旨在实现近乎即时的响应。它具有快速且准确的定向性能。',
|
||||
displayName: 'Claude 3 Haiku',
|
||||
enabled: true,
|
||||
id: 'anthropic/claude-3-haiku',
|
||||
maxOutput: 4096,
|
||||
pricing: {
|
||||
@@ -104,7 +260,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'Claude 3.5 Haiku 是 Anthropic 最快的下一代模型。与 Claude 3 Haiku 相比,Claude 3.5 Haiku 在各项技能上都有所提升,并在许多智力基准测试中超越了上一代最大的模型 Claude 3 Opus。',
|
||||
displayName: 'Claude 3.5 Haiku',
|
||||
enabled: true,
|
||||
id: 'anthropic/claude-3.5-haiku',
|
||||
maxOutput: 8192,
|
||||
pricing: {
|
||||
@@ -125,7 +280,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'Claude 3.5 Sonnet 提供了超越 Opus 的能力和比 Sonnet 更快的速度,同时保持与 Sonnet 相同的价格。Sonnet 特别擅长编程、数据科学、视觉处理、代理任务。',
|
||||
displayName: 'Claude 3.5 Sonnet',
|
||||
enabled: true,
|
||||
id: 'anthropic/claude-3.5-sonnet',
|
||||
maxOutput: 8192,
|
||||
pricing: {
|
||||
@@ -147,7 +301,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'Claude 3.7 Sonnet 是 Anthropic 迄今为止最智能的模型,也是市场上首个混合推理模型。Claude 3.7 Sonnet 可以产生近乎即时的响应或延长的逐步思考,用户可以清晰地看到这些过程。Sonnet 特别擅长编程、数据科学、视觉处理、代理任务。',
|
||||
displayName: 'Claude 3.7 Sonnet',
|
||||
enabled: true,
|
||||
id: 'anthropic/claude-3.7-sonnet',
|
||||
maxOutput: 8192,
|
||||
pricing: {
|
||||
@@ -171,7 +324,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'Claude 3 Opus 是 Anthropic 用于处理高度复杂任务的最强大模型。它在性能、智能、流畅性和理解力方面表现卓越。',
|
||||
displayName: 'Claude 3 Opus',
|
||||
enabled: true,
|
||||
id: 'anthropic/claude-3-opus',
|
||||
maxOutput: 4096,
|
||||
pricing: {
|
||||
@@ -191,7 +343,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 1_008_192,
|
||||
description: 'Gemini 1.5 Flash 提供了优化后的多模态处理能力,适用多种复杂任务场景。',
|
||||
displayName: 'Gemini 1.5 Flash',
|
||||
enabled: true,
|
||||
id: 'google/gemini-flash-1.5',
|
||||
maxOutput: 8192,
|
||||
pricing: {
|
||||
@@ -209,7 +360,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'Gemini 2.0 Flash 提供下一代功能和改进,包括卓越的速度、原生工具使用、多模态生成和1M令牌上下文窗口。',
|
||||
displayName: 'Gemini 2.0 Flash',
|
||||
enabled: true,
|
||||
id: 'google/gemini-2.0-flash-001',
|
||||
maxOutput: 8192,
|
||||
pricing: {
|
||||
@@ -228,7 +378,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 2_008_192,
|
||||
description: 'Gemini 1.5 Pro 结合最新优化技术,带来更高效的多模态数据处理能力。',
|
||||
displayName: 'Gemini 1.5 Pro',
|
||||
enabled: true,
|
||||
id: 'google/gemini-pro-1.5',
|
||||
maxOutput: 8192,
|
||||
pricing: {
|
||||
@@ -245,7 +394,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'融合通用与代码能力的全新开源模型, 不仅保留了原有 Chat 模型的通用对话能力和 Coder 模型的强大代码处理能力,还更好地对齐了人类偏好。此外,DeepSeek-V2.5 在写作任务、指令跟随等多个方面也实现了大幅提升。',
|
||||
displayName: 'DeepSeek V2.5',
|
||||
enabled: true,
|
||||
id: 'deepseek/deepseek-chat',
|
||||
pricing: {
|
||||
input: 0.14,
|
||||
@@ -262,7 +410,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'DeepSeek-R1 在仅有极少标注数据的情况下,极大提升了模型推理能力。在输出最终回答之前,模型会先输出一段思维链内容,以提升最终答案的准确性。',
|
||||
displayName: 'DeepSeek R1',
|
||||
enabled: true,
|
||||
id: 'deepseek/deepseek-r1',
|
||||
pricing: {
|
||||
input: 3,
|
||||
@@ -279,7 +426,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'DeepSeek-R1 在仅有极少标注数据的情况下,极大提升了模型推理能力。在输出最终回答之前,模型会先输出一段思维链内容,以提升最终答案的准确性。',
|
||||
displayName: 'DeepSeek R1 (Free)',
|
||||
enabled: true,
|
||||
id: 'deepseek/deepseek-r1:free',
|
||||
releasedAt: '2025-01-20',
|
||||
type: 'chat',
|
||||
@@ -292,7 +438,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'LLaMA 3.2 旨在处理结合视觉和文本数据的任务。它在图像描述和视觉问答等任务中表现出色,跨越了语言生成和视觉推理之间的鸿沟。',
|
||||
displayName: 'Llama 3.2 11B Vision',
|
||||
enabled: true,
|
||||
id: 'meta-llama/llama-3.2-11b-vision-instruct',
|
||||
pricing: {
|
||||
input: 0.162,
|
||||
@@ -308,7 +453,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'LLaMA 3.2 旨在处理结合视觉和文本数据的任务。它在图像描述和视觉问答等任务中表现出色,跨越了语言生成和视觉推理之间的鸿沟。',
|
||||
displayName: 'Llama 3.2 90B Vision',
|
||||
enabled: true,
|
||||
id: 'meta-llama/llama-3.2-90b-vision-instruct',
|
||||
pricing: {
|
||||
input: 0.4,
|
||||
@@ -324,7 +468,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'Llama 3.3 是 Llama 系列最先进的多语言开源大型语言模型,以极低成本体验媲美 405B 模型的性能。基于 Transformer 结构,并通过监督微调(SFT)和人类反馈强化学习(RLHF)提升有用性和安全性。其指令调优版本专为多语言对话优化,在多项行业基准上表现优于众多开源和封闭聊天模型。知识截止日期为 2023 年 12 月',
|
||||
displayName: 'Llama 3.3 70B Instruct',
|
||||
enabled: true,
|
||||
id: 'meta-llama/llama-3.3-70b-instruct',
|
||||
pricing: {
|
||||
input: 0.12,
|
||||
@@ -340,7 +483,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'Llama 3.3 是 Llama 系列最先进的多语言开源大型语言模型,以极低成本体验媲美 405B 模型的性能。基于 Transformer 结构,并通过监督微调(SFT)和人类反馈强化学习(RLHF)提升有用性和安全性。其指令调优版本专为多语言对话优化,在多项行业基准上表现优于众多开源和封闭聊天模型。知识截止日期为 2023 年 12 月',
|
||||
displayName: 'Llama 3.3 70B Instruct (Free)',
|
||||
enabled: true,
|
||||
id: 'meta-llama/llama-3.3-70b-instruct:free',
|
||||
type: 'chat',
|
||||
},
|
||||
@@ -348,7 +490,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 32_768,
|
||||
description: 'Qwen2 是全新的大型语言模型系列,具有更强的理解和生成能力。',
|
||||
displayName: 'Qwen2 7B (Free)',
|
||||
enabled: true,
|
||||
id: 'qwen/qwen-2-7b-instruct:free',
|
||||
type: 'chat',
|
||||
},
|
||||
@@ -356,7 +497,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 32_768,
|
||||
description: 'LLaMA 3.1 提供多语言支持,是业界领先的生成模型之一。',
|
||||
displayName: 'Llama 3.1 8B (Free)',
|
||||
enabled: true,
|
||||
id: 'meta-llama/llama-3.1-8b-instruct:free',
|
||||
type: 'chat',
|
||||
},
|
||||
@@ -364,7 +504,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
contextWindowTokens: 8192,
|
||||
description: 'Gemma 2 是Google轻量化的开源文本模型系列。',
|
||||
displayName: 'Gemma 2 9B (Free)',
|
||||
enabled: true,
|
||||
id: 'google/gemma-2-9b-it:free',
|
||||
type: 'chat',
|
||||
},
|
||||
@@ -377,7 +516,6 @@ const openrouterChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'Gemini 2.0 Pro Experimental 是 Google 最新的实验性多模态AI模型,与历史版本相比有一定的质量提升,特别是对于世界知识、代码和长上下文。',
|
||||
displayName: 'Gemini 2.0 Pro Experimental 02-05 (Free)',
|
||||
enabled: true,
|
||||
id: 'google/gemini-2.0-pro-exp-02-05:free',
|
||||
maxOutput: 8192,
|
||||
releasedAt: '2025-02-05',
|
||||
|
||||
@@ -4,6 +4,51 @@ import { AIChatModelCard } from '@/types/aiModel';
|
||||
// pricing https://console.volcengine.com/ark/region:ark+cn-beijing/openManagement
|
||||
|
||||
const doubaoChatModels: AIChatModelCard[] = [
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
reasoning: true,
|
||||
},
|
||||
config: {
|
||||
deploymentName: 'doubao-1-5-thinking-pro-250415',
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'Doubao-1.5全新深度思考模型,在数学、编程、科学推理等专业领域及创意写作等通用任务中表现突出,在AIME 2024、Codeforces、GPQA等多项权威基准上达到或接近业界第一梯队水平。支持128k上下文窗口,16k输出。',
|
||||
displayName: 'Doubao 1.5 Thinking Pro',
|
||||
enabled: true,
|
||||
id: 'Doubao-1.5-thinking-pro',
|
||||
maxOutput: 16_000,
|
||||
pricing: {
|
||||
currency: 'CNY',
|
||||
input: 4,
|
||||
output: 16,
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
reasoning: true,
|
||||
vision: true,
|
||||
},
|
||||
config: {
|
||||
deploymentName: 'doubao-1-5-thinking-pro-vision-250415',
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'Doubao-1.5全新深度思考模型,在数学、编程、科学推理等专业领域及创意写作等通用任务中表现突出,在AIME 2024、Codeforces、GPQA等多项权威基准上达到或接近业界第一梯队水平。支持128k上下文窗口,16k输出。',
|
||||
displayName: 'Doubao 1.5 Thinking Pro Vision',
|
||||
enabled: true,
|
||||
id: 'Doubao-1.5-thinking-pro-vision',
|
||||
maxOutput: 16_000,
|
||||
pricing: {
|
||||
currency: 'CNY',
|
||||
input: 4,
|
||||
output: 16,
|
||||
},
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
@@ -113,7 +158,7 @@ const doubaoChatModels: AIChatModelCard[] = [
|
||||
config: {
|
||||
deploymentName: 'doubao-1-5-pro-256k-250115',
|
||||
},
|
||||
contextWindowTokens: 32_768,
|
||||
contextWindowTokens: 256_000,
|
||||
description:
|
||||
'Doubao-1.5-pro-256k 基于 Doubao-1.5-Pro 全面升级版,整体效果大幅提升 10%。支持 256k 上下文窗口的推理,输出长度支持最大 12k tokens。更高性能、更大窗口、超高性价比,适用于更广泛的应用场景。',
|
||||
displayName: 'Doubao 1.5 Pro 256k',
|
||||
@@ -159,7 +204,6 @@ const doubaoChatModels: AIChatModelCard[] = [
|
||||
description:
|
||||
'Doubao-1.5-vision-pro 全新升级的多模态大模型,支持任意分辨率和极端长宽比图像识别,增强视觉推理、文档识别、细节信息理解和指令遵循能力。',
|
||||
displayName: 'Doubao 1.5 Vision Pro 32k',
|
||||
enabled: true,
|
||||
id: 'Doubao-1.5-vision-pro-32k',
|
||||
maxOutput: 12_288,
|
||||
pricing: {
|
||||
@@ -170,6 +214,50 @@ const doubaoChatModels: AIChatModelCard[] = [
|
||||
releasedAt: '2025-01-15',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
vision: true,
|
||||
},
|
||||
config: {
|
||||
deploymentName: 'doubao-1-5-vision-pro-250328',
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'Doubao-1.5-vision-pro 全新升级的多模态大模型,支持任意分辨率和极端长宽比图像识别,增强视觉推理、文档识别、细节信息理解和指令遵循能力。',
|
||||
displayName: 'Doubao 1.5 Vision Pro',
|
||||
id: 'Doubao-1.5-vision-pro',
|
||||
maxOutput: 16_384,
|
||||
pricing: {
|
||||
currency: 'CNY',
|
||||
input: 3,
|
||||
output: 9,
|
||||
},
|
||||
releasedAt: '2025-03-28',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
functionCall: true,
|
||||
vision: true,
|
||||
},
|
||||
config: {
|
||||
deploymentName: 'doubao-1-5-vision-lite-250315',
|
||||
},
|
||||
contextWindowTokens: 128_000,
|
||||
description:
|
||||
'Doubao-1.5-vision-lite 全新升级的多模态大模型,支持任意分辨率和极端长宽比图像识别,增强视觉推理、文档识别、细节信息理解和指令遵循能力。支持 128k 上下文窗口,输出长度支持最大 16k tokens。',
|
||||
displayName: 'Doubao 1.5 Vision Lite',
|
||||
id: 'doubao-1.5-vision-lite',
|
||||
maxOutput: 16_384,
|
||||
pricing: {
|
||||
currency: 'CNY',
|
||||
input: 1.5,
|
||||
output: 4.5,
|
||||
},
|
||||
releasedAt: '2025-03-15',
|
||||
type: 'chat',
|
||||
},
|
||||
{
|
||||
abilities: {
|
||||
vision: true,
|
||||
|
||||
Reference in New Issue
Block a user