Set up Continue
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. Add the model to Continue's config.yaml, with your key in Continue's secrets as LLM_
BUZZ_ KEY. config.yamlmodels: - name: moonshotai/kimi-k3 on llm.buzz provider: openai model: moonshotai/kimi-k3 Added: apiBase: https://api.llm.buzz/api/v1 apiKey: ${{ secrets.LLM_BUZZ_KEY }}
Usage on llm.buzz
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Usage is published weekly, once at least 5 organizations use a model. The current week closes Monday, Nov 2, 2026, 00:00 UTC.
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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
128K contextgpt-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
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