vtcode-config 0.169.0

Config loader components shared across VT Code and downstream adopters
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{
  "id": "openrouter",
  "env": [
    "OPENROUTER_API_KEY"
  ],
  "api": "https://openrouter.ai/api/v1",
  "name": "OpenRouter",
  "doc": "https://openrouter.ai/models",
  "models": {
    "meta/muse-glimmer-30b": {
      "id": "meta/muse-glimmer-30b",
      "name": "Meta: Muse Glimmer 30B",
      "description": "Meta Muse Glimmer 30B reasoning model via OpenRouter.",
      "reasoning": true,
      "tool_call": true,
      "modalities": {
        "input": [
          "text",
          "image"
        ],
        "output": [
          "text"
        ]
      },
      "context": 131072,
      "cost": {
        "input": 3.5e-07,
        "output": 1.5e-06,
        "cache_read": 4e-08
      },
      "vtcode": {
        "variant": "OpenRouterMetaMuseGlimmer30b",
        "constant": "META_MUSE_GLIMMER_30B",
        "vendor": "meta",
        "display": "Muse Glimmer 30B (OpenRouter)",
        "description": "Meta Muse Glimmer 30B reasoning model via OpenRouter",
        "efficient": true,
        "top_tier": false,
        "generation": "Muse-Glimmer-30B",
        "doc_comment": "Muse Glimmer 30B - Meta Muse Glimmer 30B reasoning model via OpenRouter"
      }
    },
    "mistralai/mistral-large-2512": {
      "id": "mistralai/mistral-large-2512",
      "name": "Mistral: Mistral Large 3 2512",
      "reasoning": false,
      "tool_call": true,
      "modalities": {
        "input": [
          "text"
        ],
        "output": [
          "text"
        ]
      },
      "context": 128000,
      "max_output_tokens": 8192,
      "cost": {
        "input": 2e-06,
        "output": 6e-06
      },
      "vtcode": {
        "variant": "OpenRouterMistralaiMistralLarge2512",
        "constant": "MISTRALAI_MISTRAL_LARGE_2512",
        "vendor": "mistralai",
        "display": "Mistral Large 3 2512",
        "description": "Mistral Large 3 2512 model via OpenRouter",
        "efficient": false,
        "top_tier": true,
        "generation": "Mistral-Large-3",
        "doc_comment": "Mistral Large 3 2512 - Mistral Large 3 2512 model via OpenRouter"
      }
    },
    "google/gemini-3.8-flash": {
      "id": "google/gemini-3.8-flash",
      "name": "Google: Gemini 3.8 Flash",
      "reasoning": true,
      "tool_call": true,
      "modalities": {
        "input": [
          "text",
          "image",
          "file"
        ],
        "output": [
          "text"
        ]
      },
      "context": 1048576,
      "vtcode": {
        "variant": "OpenRouterGoogleGemini38Flash",
        "constant": "GOOGLE_GEMINI_3_8_FLASH",
        "vendor": "google",
        "display": "Gemini 3.8 Flash",
        "description": "Most intelligent Flash for long-horizon SWE, agents, and enterprise workflows with 1M context via OpenRouter",
        "efficient": true,
        "top_tier": true,
        "generation": "3.8",
        "doc_comment": "Gemini 3.8 Flash - Most intelligent Flash for long-horizon SWE, agents, and enterprise workflows via OpenRouter"
      }
    },
    "nex-agi/deepseek-v3.1-nex-n1": {
      "id": "nex-agi/deepseek-v3.1-nex-n1",
      "name": "Nex AGI: DeepSeek V3.1 Nex N1",
      "reasoning": true,
      "tool_call": true,
      "modalities": {
        "input": [
          "text"
        ],
        "output": [
          "text"
        ]
      },
      "context": 163840,
      "max_output_tokens": 163840,
      "cost": {
        "input": 2e-07,
        "output": 8e-07
      },
      "vtcode": {
        "variant": "OpenRouterNexAgiDeepseekV31NexN1",
        "constant": "NEX_AGI_DEEPSEEK_V3_1_NEX_N1",
        "vendor": "nex-agi",
        "display": "DeepSeek V3.1 Nex N1",
        "description": "Nex AGI DeepSeek V3.1 Nex N1 model via OpenRouter",
        "efficient": false,
        "top_tier": true,
        "generation": "V3.1-Nex",
        "doc_comment": "DeepSeek V3.1 Nex N1 - Nex AGI DeepSeek V3.1 Nex N1 model via OpenRouter"
      }
    },
    "z-ai/glm-5.3-flash": {
      "id": "z-ai/glm-5.3-flash",
      "name": "Z.AI: GLM-5.3 Flash",
      "description": "Z.AI efficient multimodal model with hybrid sparse+linear attention (320B total / 18B active, 3.01x less attention compute, 4.44x smaller KV cache), 1M context and native vision for efficient coding and long-horizon agent tasks.",
      "reasoning": true,
      "tool_call": true,
      "modalities": {
        "input": [
          "text",
          "image"
        ],
        "output": [
          "text"
        ]
      },
      "context": 1310720,
      "max_output_tokens": 131072,
      "cost": {
        "input": 1.5e-07,
        "output": 5e-07,
        "cache_read": 3e-08
      },
      "vtcode": {
        "variant": "OpenRouterZaiGlm53Flash",
        "constant": "ZAI_GLM_5_3_FLASH",
        "vendor": "z-ai",
        "display": "GLM-5.3 Flash",
        "description": "Z.AI GLM-5.3 Flash efficient multimodal model via OpenRouter",
        "efficient": true,
        "top_tier": true,
        "generation": "5.3",
        "doc_comment": "GLM-5.3 Flash - Z.AI efficient multimodal model with hybrid sparse+linear attention via OpenRouter"
      }
    },
    "z-ai/glm-5.3-flashx": {
      "id": "z-ai/glm-5.3-flashx",
      "name": "Z.AI: GLM-5.3 FlashX",
      "description": "Z.AI high-speed Flash variant with faster inference (up to 200 tok/s), sharing the Flash multimodal stack (320B total / 18B active), 1M context and native vision for efficient coding and long-horizon agent tasks.",
      "reasoning": true,
      "tool_call": true,
      "modalities": {
        "input": [
          "text",
          "image"
        ],
        "output": [
          "text"
        ]
      },
      "context": 1048576,
      "max_output_tokens": 131072,
      "cost": {
        "input": 3.7e-07,
        "output": 1.25e-06,
        "cache_read": 7.5e-08
      },
      "vtcode": {
        "variant": "OpenRouterZaiGlm53Flashx",
        "constant": "ZAI_GLM_5_3_FLASHX",
        "vendor": "z-ai",
        "display": "GLM-5.3 FlashX",
        "description": "Z.AI GLM-5.3 FlashX high-speed efficient multimodal model via OpenRouter",
        "efficient": true,
        "top_tier": true,
        "generation": "5.3",
        "doc_comment": "GLM-5.3 FlashX - Z.AI high-speed Flash variant with faster inference via OpenRouter"
      }
    },
    "openai/gpt-oss-120b": {
      "id": "openai/gpt-oss-120b",
      "name": "OpenAI: gpt-oss-120b",
      "reasoning": true,
      "tool_call": true,
      "modalities": {
        "input": [
          "text"
        ],
        "output": [
          "text"
        ]
      },
      "context": 131072,
      "max_output_tokens": 131072,
      "cost": {
        "input": 4e-08,
        "output": 4e-07
      },
      "vtcode": {
        "variant": "OpenRouterOpenAIGptOss120b",
        "constant": "OPENAI_GPT_OSS_120B",
        "vendor": "openai",
        "display": "OpenAI gpt-oss-120b",
        "description": "Open-weight 120B reasoning model via OpenRouter",
        "efficient": false,
        "top_tier": true,
        "generation": "OSS-120B",
        "doc_comment": "OpenAI gpt-oss-120b - Open-weight 120B reasoning model via OpenRouter"
      }
    },
    "openai/gpt-oss-20b": {
      "id": "openai/gpt-oss-20b",
      "name": "OpenAI: gpt-oss-20b",
      "reasoning": true,
      "tool_call": true,
      "modalities": {
        "input": [
          "text"
        ],
        "output": [
          "text"
        ]
      },
      "context": 131072,
      "max_output_tokens": null,
      "cost": {
        "input": 3e-08,
        "output": 1.4e-07
      },
      "vtcode": {
        "variant": "OpenRouterOpenAIGptOss20b",
        "constant": "OPENAI_GPT_OSS_20B",
        "vendor": "openai",
        "display": "OpenAI gpt-oss-20b",
        "description": "Open-weight 20B deployment via OpenRouter",
        "efficient": false,
        "top_tier": false,
        "generation": "OSS-20B",
        "doc_comment": "OpenAI gpt-oss-20b - Open-weight 20B deployment via OpenRouter"
      }
    },
    "moonshotai/kimi-k3": {
      "id": "moonshotai/kimi-k3",
      "name": "MoonshotAI: Kimi K3",
      "description": "Kimi K3 is Kimi's most capable model to date, with 2.8 trillion parameters. Built on Kimi Delta Attention, a hybrid linear attention mechanism, and Attention Residuals, it offers native visual understanding and a 1M-token context window for frontier intelligence scenarios such as software engineering, knowledge work, and deep reasoning.",
      "reasoning": true,
      "tool_call": true,
      "modalities": {
        "input": [
          "text",
          "image"
        ],
        "output": [
          "text"
        ]
      },
      "context": 1048576,
      "max_output_tokens": 131072,
      "cost": {
        "input": 3e-06,
        "output": 1.5e-05,
        "cache_read": 3e-07
      },
      "vtcode": {
        "variant": "OpenRouterMoonshotaiKimiK3",
        "constant": "MOONSHOTAI_KIMI_K3",
        "vendor": "moonshotai",
        "display": "Kimi K3",
        "description": "Kimi K3 2.8T parameter flagship with 1M context, native vision, and deep reasoning via OpenRouter",
        "efficient": false,
        "top_tier": true,
        "generation": "K3",
        "doc_comment": "Kimi K3 - Moonshot AI's 2.8T parameter flagship model via OpenRouter"
      }
    },
    "xiaomi/mimo-v2.6-pro": {
      "id": "xiaomi/mimo-v2.6-pro",
      "name": "Xiaomi: MiMo-V2.6-Pro",
      "description": "MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding workloads. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers top-tier performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.",
      "reasoning": true,
      "tool_call": true,
      "modalities": {
        "input": [
          "text",
          "image",
          "video",
          "audio"
        ],
        "output": [
          "text"
        ]
      },
      "context": 1048576,
      "max_output_tokens": 131072,
      "cost": {
        "input": 4.35e-07,
        "output": 8.7e-07,
        "cache_read": 3.6e-09
      },
      "vtcode": {
        "variant": "OpenRouterXiaomiMimoV26Pro",
        "constant": "XIAOMI_MIMO_V2_6_PRO",
        "vendor": "xiaomi",
        "display": "MiMo-V2.6-Pro",
        "description": "Xiaomi MiMo-V2.6-Pro flagship agentic model for complex software engineering via OpenRouter",
        "efficient": false,
        "top_tier": true,
        "generation": "MiMo-V2.6",
        "doc_comment": "MiMo-V2.6-Pro - Xiaomi's flagship agentic model for complex software engineering via OpenRouter"
      }
    },
    "xiaomi/mimo-v2.6-flash": {
      "id": "xiaomi/mimo-v2.6-flash",
      "name": "Xiaomi: MiMo-V2.6-Flash",
      "description": "MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for greater computational efficiency. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers strong performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.",
      "reasoning": true,
      "tool_call": true,
      "modalities": {
        "input": [
          "text",
          "image",
          "video",
          "audio"
        ],
        "output": [
          "text"
        ]
      },
      "context": 1048576,
      "max_output_tokens": 131072,
      "cost": {
        "input": 1.4e-07,
        "output": 2.8e-07,
        "cache_read": 2.8e-09
      },
      "vtcode": {
        "variant": "OpenRouterXiaomiMimoV26Flash",
        "constant": "XIAOMI_MIMO_V2_6_FLASH",
        "vendor": "xiaomi",
        "display": "MiMo-V2.6-Flash",
        "description": "Xiaomi MiMo-V2.6-Flash efficient high-volume agentic model via OpenRouter",
        "efficient": true,
        "top_tier": true,
        "generation": "MiMo-V2.6",
        "doc_comment": "MiMo-V2.6-Flash - Xiaomi's efficient high-volume agentic model via OpenRouter"
      }
    },
    "xiaomi/mimo-v2.6-pro-ultraspeed": {
      "id": "xiaomi/mimo-v2.6-pro-ultraspeed",
      "name": "Xiaomi: MiMo-V2.6-Pro-UltraSpeed",
      "description": "MiMo-V2.6-Pro-UltraSpeed is the fast speed edition of Xiaomi's flagship foundation model, MiMo-V2.6-Pro. Built from the same 1T MiMo-V2.6-Pro checkpoint, it matches the original model in quality while delivering roughly 10x the output speed. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers top-tier performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.",
      "reasoning": true,
      "tool_call": true,
      "modalities": {
        "input": [
          "text",
          "image",
          "video",
          "audio"
        ],
        "output": [
          "text"
        ]
      },
      "context": 1048576,
      "max_output_tokens": 131072,
      "cost": {
        "input": 4.35e-06,
        "output": 8.7e-06,
        "cache_read": 3.6e-08
      },
      "vtcode": {
        "variant": "OpenRouterXiaomiMimoV26ProUltraspeed",
        "constant": "XIAOMI_MIMO_V2_6_PRO_ULTRASPEED",
        "vendor": "xiaomi",
        "display": "MiMo-V2.6-Pro-UltraSpeed",
        "description": "Xiaomi MiMo-V2.6-Pro-UltraSpeed fastest flagship variant via OpenRouter",
        "efficient": false,
        "top_tier": true,
        "generation": "MiMo-V2.6",
        "doc_comment": "MiMo-V2.6-Pro-UltraSpeed - Xiaomi's fastest flagship variant via OpenRouter"
      }
    }
  },
  "default_model": "xiaomi/mimo-v2.6-pro"
}