Most AI startups obsess over which model is best. The smart ones route to all of them.
Most AI startups obsess over which model is best. The smart ones route to all of them. Here's why. Every AI model has a sweet spot: deepseek-chat — $0.27/M, 64K context, fastest qwen3-235b — 128K context, best
Most AI startups obsess over which model is best. The smart ones route to all of them.
Here's why.
Every AI model has a sweet spot:
deepseek-chat — $0.27/M, 64K context, fastest
qwen3-235b — 128K context, best multilingual
glm-4-plus — complex reasoning, Chinese native
kimi-k3 — 1M context, always thinks before answering
Pick one, and you're great at one thing. Use all four, and you're
great at everything — without paying premium prices for every request.
The routing pattern
import openai
client = openai.OpenAI(
api_key="mb-xxx",
base_url="https://aibridge-api.com/v1"
)
def route(task_type):
if task_type == "simple": return "deepseek-chat" # 90% of traffic
if task_type == "translate": return "qwen-max" # multilingual
if task_type == "reason": return "glm-4-plus" # complex
if task_type == "review": return "kimi-k3" # codebase
return "deepseek-chat"
client.chat.completions.create(
model=route(task),
messages=messages
)
Same library. Same response format. Same API key.
Switching models is changing one string.
Why this matters
A single-model stack has two failure modes:
Paying $15/M for yes/no answers
Crashing because your provider rate-limited you at 2 AM
Routing fixes both. Cheap model for classification, summaries, and
simple chat. Expensive model for the 10% of tasks that actually need
deep reasoning. And if any provider goes down — swap the model string
and redeploy. No downtime.
The cost math
Say your app does 1M requests/month:
- 900K simple → deepseek-chat at 0.27/M = 243
- 80K translate → qwen-plus at 0.40/M=32
- 20K reason → glm-4-plus at 7.10/M=142
Total: ~$420/month
If all 1M went to glm-4-plus: $7,100/month.
The routing pattern saves 94% and delivers the same quality where it
counts — because the cheap model is indistinguishable from the expensive
one on 90% of tasks.
Try it without committing
15 Chinese AI models. One OpenAI-compatible endpoint. Free playground —
no signup, 10 requests/day, all models including kimi-k3. GitHub OAuth
login if you want a key.
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.



