import { AIChatModelCard } from '@/types/aiModel';

// https://docs.mistral.ai/getting-started/models/models_overview/
// https://mistral.ai/products/la-plateforme#pricing

const mistralChatModels: AIChatModelCard[] = [
  {
    abilities: {
      functionCall: true,
    },
    contextWindowTokens: 128_000,
    description:
      'Mistral Nemo是一个与Nvidia合作开发的12B模型，提供出色的推理和编码性能，易于集成和替换。',
    displayName: 'Mistral Nemo',
    enabled: true,
    id: 'open-mistral-nemo',
    pricing: {
      input: 0,
      output: 0,
    },
    type: 'chat',
  },
  {
    abilities: {
      functionCall: true,
    },
    contextWindowTokens: 32_000,
    description: 'Mistral Small是成本效益高、快速且可靠的选项，适用于翻译、摘要和情感分析等用例。',
    displayName: 'Mistral Small',
    enabled: true,
    id: 'mistral-small-latest',
    pricing: {
      input: 0.1,
      output: 0.3,
    },
    type: 'chat',
  },
  {
    abilities: {
      functionCall: true,
    },
    contextWindowTokens: 131_072,
    description:
      'Mistral Large是旗舰大模型，擅长多语言任务、复杂推理和代码生成，是高端应用的理想选择。',
    displayName: 'Mistral Large',
    enabled: true,
    id: 'mistral-large-latest',
    pricing: {
      input: 2,
      output: 6,
    },
    type: 'chat',
  },
  {
    abilities: {
      functionCall: true,
    },
    contextWindowTokens: 256_000,
    description: 'Codestral 是我们最先进的编码语言模型，第二个版本于2025年1月发布，专门从事低延迟、高频任务如中间填充（RST）、代码纠正和测试生成。',
    displayName: 'Codestral',
    id: 'codestral-latest',
    pricing: {
      input: 0.3,
      output: 0.9,
    },
    releasedAt: '2025-01-13',
    type: 'chat',
  },
  {
    abilities: {
      functionCall: true,
      vision: true,
    },
    contextWindowTokens: 131_072,
    description:
      'Pixtral Large 是一款拥有 1240 亿参数的开源多模态模型，基于 Mistral Large 2 构建。这是我们多模态家族中的第二款模型，展现了前沿水平的图像理解能力。',
    displayName: 'Pixtral Large',
    enabled: true,
    id: 'pixtral-large-latest',
    pricing: {
      input: 2,
      output: 6,
    },
    type: 'chat',
  },
  {
    abilities: {
      functionCall: true,
      vision: true,
    },
    contextWindowTokens: 131_072,
    description:
      'Pixtral 模型在图表和图理解、文档问答、多模态推理和指令遵循等任务上表现出强大的能力，能够以自然分辨率和宽高比摄入图像，还能够在长达 128K 令牌的长上下文窗口中处理任意数量的图像。',
    displayName: 'Pixtral 12B',
    enabled: true,
    id: 'pixtral-12b-2409',
    pricing: {
      input: 0,
      output: 0,
    },
    type: 'chat',
  },
  {
    abilities: {
      functionCall: true,
    },
    contextWindowTokens: 131_072,
    description: 'Ministral 3B 是Mistral的世界顶级边缘模型。',
    displayName: 'Ministral 3B',
    id: 'ministral-3b-latest',
    pricing: {
      input: 0.04,
      output: 0.04,
    },
    type: 'chat',
  },
  {
    abilities: {
      functionCall: true,
    },
    contextWindowTokens: 131_072,
    description: 'Ministral 8B 是Mistral的性价比极高的边缘模型。',
    displayName: 'Ministral 8B',
    id: 'ministral-8b-latest',
    pricing: {
      input: 0.1,
      output: 0.1,
    },
    type: 'chat',
  },
  {
    contextWindowTokens: 32_768,
    description:
      'Mistral 7B是一款紧凑但高性能的模型，擅长批量处理和简单任务，如分类和文本生成，具有良好的推理能力。',
    displayName: 'Mistral 7B',
    id: 'open-mistral-7b', // Deprecated on 2025/03/30
    pricing: {
      input: 0.25,
      output: 0.25,
    },
    type: 'chat',
  },
  {
    contextWindowTokens: 32_768,
    description:
      'Mixtral 8x7B是一个稀疏专家模型，利用多个参数提高推理速度，适合处理多语言和代码生成任务。',
    displayName: 'Mixtral 8x7B',
    id: 'open-mixtral-8x7b', // Deprecated on 2025/03/30
    pricing: {
      input: 0.7,
      output: 0.7,
    },
    type: 'chat',
  },
  {
    abilities: {
      functionCall: true,
    },
    contextWindowTokens: 65_536,
    description:
      'Mixtral 8x22B是一个更大的专家模型，专注于复杂任务，提供出色的推理能力和更高的吞吐量。',
    displayName: 'Mixtral 8x22B',
    id: 'open-mixtral-8x22b', // Deprecated on 2025/03/30
    pricing: {
      input: 2,
      output: 6,
    },
    type: 'chat',
  },
  {
    contextWindowTokens: 256_000,
    description:
      'Codestral Mamba是专注于代码生成的Mamba 2语言模型，为先进的代码和推理任务提供强力支持。',
    displayName: 'Codestral Mamba',
    id: 'open-codestral-mamba',
    pricing: {
      input: 0,
      output: 0,
    },
    type: 'chat',
  },
];

export const allModels = [...mistralChatModels];

export default allModels;