Set up GitHub Copilot in VS Code
The examples use MoonshotAI: Kimi K3, a live model on llm.buzz. Any model name from the Models page works.
Create a key in the llm.buzz console under Keys, and keep it in the LLM_
BUZZ_ KEY environment variable. Run Chat: Manage Language Models, then Add Models and Custom Endpoint. It writes chatLanguageModels.json; VS Code asks for the key when it first uses the model.
chatLanguageModels.json[ { "name": "llm.buzz", "vendor": "customendpoint", "apiKey": "${input:llmBuzzKey}", "apiType": "chat-completions", "models": [ { "id": "moonshotai/kimi-k3", "name": "moonshotai/kimi-k3", Added: "url": "https://api.llm.buzz/api/v1/chat/completions", "toolCalling": true, "vision": false, "maxInputTokens": 128000, "maxOutputTokens": 16000 } ] } ]For the Responses API, set apiType to "responses" and the URL to https:/
/ api.llm.buzz/ api/ v1/ responses. Inline completions still come from Copilot.
Usage on llm.buzz
Weekly tokens from requests that name this app.
- Tokens last week
- –Below the publishing floor
- Rank last week
- –Below the publishing floor
- among apps on llm.buzz
- vs prior week
- –Below the publishing floor
- Tokens, 12 weeks
- –Below the publishing floor
Tokens by week
Usage is published weekly, once at least 5 organizations use a model. The current week closes Monday, Nov 2, 2026, 00:00 UTC.
Top models
No model's usage is published for GitHub Copilot in VS Code yet.
A model or app appears only when at least 5 organizations used it that week and no single one sent more than 80% of its tokens.
Popular models for coding agents
Live models that call tools, the most used and most widely served first.
1M context10% offKimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI.
- Providers
- 6
- Input
$2.85$2.565/M- Output
$14.25$12.825/M- Context
- 1M
1M contextGLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks.
- Providers
- 5
- Input
- $0.98/M
- Output
- $3.08/M
- Context
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1M context25% offQwen3.8 Flash is a multimodal reasoning model from Alibaba.
- Providers
- 4
- Input
$0.15$0.1125/M- Output
$0.47$0.3525/M- Context
- 1M
256K contextQwen3.8 27B is an open-weight dense vision-language model from Qwen.
- Providers
- 4
- Input
- $0.20/M
- Output
- $2.50/M
- Context
- 256K
1M contextGLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks.
- Providers
- 4
- Input
- $0.15/M
- Output
- $0.50/M
- Context
- 1M
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and…
- Providers
- 3
- Input
- $0.05/M
- Output
- $0.25/M
- Context
- 128K