Kimi K3 thinks before it answers. You don't have to ask it to.

#ai #api #llm #kimi

Most reasoning models give you a toggle — "think mode ON" or "think mode OFF." You have to decide. You have to prompt. You have to guess whether the task is complex enough to warrant the extra latency.

K3 doesn't give you a choice. It always reasons. Every request. No config. No prompt engineering.

The spec

1M context window (4x Claude, 8x GPT-4o)
Always-on reasoning — no toggle needed
Drop a codebase, get a review. No chunking.
$3/M input, $15/M output

One endpoint for everything

K3 lives behind the same OpenAI-compatible endpoint as 14 other models:

import openai
client = openai.OpenAI(
    api_key="mb-xxx",
    base_url="https://aibridge-api.com/v1"
)

# DeepSeek — $0.27/M, fast and cheap
client.chat.completions.create(model="deepseek-chat", messages=messages)

# Qwen — 128K context, multilingual
client.chat.completions.create(model="qwen-max", messages=messages)

# GLM-4 Plus — complex reasoning
client.chat.completions.create(model="glm-4-plus", messages=messages)

# Kimi K3 — 1M context, always thinks
client.chat.completions.create(model="kimi-k3", messages=messages)

Same library. Same response format. Same API key.
Change one string to switch models.

What ships with it

GitHub OAuth — one click to register or log in. No email. No password.
Onboarding — after login you see your API key, a curl command, and Python SDK code. Copy, paste, run. 30 seconds.
Usage dashboard — a bar that goes from polite to urgent as you approach your limit. Blue below 50%, orange at 80%, red flashing at 90%.
Free playground — try all 15 models including K3 with no signup. 10 requests/day. Free tier: 500K tokens/month. No credit card.

→ aibridge-api.com/playground.html (try K3, no signup)
→ aibridge-api.com/register.html (GitHub login, one click)