Kimi K3's million-token context at Moonshot's own rates - both catalogs, pay-per-token and the Kimi Code subscription, with retired models marked in the list.
1
Create an API key at the Moonshot console.
2
Paste it into Big-AGI's model settings.
3
Start chatting, or Beam it against other models and fuse the answers.
Add your Moonshot API key and run the Kimi models at Moonshot's own API rates. Big-AGI adds no markup and no intermediary: billing runs directly between you and Moonshot, and your keys stay in your browser.
Kimi's own app is a solid way to chat, but it only ever shows you Kimi's take. Beam sends the same prompt to Kimi and to GPT, Claude, or Gemini at once, so a long-context read of your codebase or document gets checked against other labs' models before you trust it. You also get parameters Kimi's app does not expose: temperature, system prompt, per-turn model switching, and a real thinking on/off toggle for the Kimi models that support it (the flagship coding model reasons on every turn, so Big-AGI doesn't show a fake switch for it). Your keys stay in your browser instead of sitting on Moonshot's servers.
Turn on Direct Connection and the browser calls Moonshot directly, bypassing the Big-AGI server, whenever your key is client-side and Moonshot allows it. Your keys stay in your browser. Chats are stored locally first and sync only if you turn it on. The AI Inspector opens on any message to show the exact request sent to Moonshot, the token counts, and a cost estimate for that call.
Run Kimi in parallel with Claude, GPT, and Gemini on the same prompt, then reach for Fusions: several strategies that combine, cross-check, and synthesize the parallel answers, which beats just picking the single best one. Parallel runs use more tokens than a single chat.
Your key, your data, your choice of model. Big-AGI's Open branch is open source and self-hostable, so you can check exactly how Moonshot is called.
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