503 model_unavailable. Always read GET /v1/models for the live list.Get GPT-4 level performance at 70% lower cost. Same API format. Same code. Way less money.
If you're building an AI-powered product, OpenAI's API costs can eat your margins alive. GPT-4o costs $2.50 per million input tokens and $10.00 per million output tokens. At scale, that adds up fast.
TokenEase gives you access to Kimi K3, Kimi K2.7 Code, Kimi K2.7 Code HighSpeed and GLM-4 Flash through an OpenAI-compatible API. You literally change 2 lines of code and start saving.
$2.50/M input
$10.00/M output
128K context
+ Rate limits
+ US-only priority
+ No Chinese models
$0.28/M cached input
$18.00/M output
256K context
+ 4 models live right now
+ Global access
+ $1 free credit
| Monthly Volume | OpenAI GPT-4o | TokenEase (Kimi K3) | You Save |
|---|---|---|---|
| 10M tokens | $42.50 | $12.50 | $30.00 (71%) |
| 100M tokens | $425 | $125 | $300 (71%) |
| 1B tokens | $4,250 | $1,250 | $3,000 (71%) |
| 10B tokens | $42,500 | $12,500 | $30,000 (71%) |
71% savings — same quality, fraction of the cost.
# Before (OpenAI)
from openai import OpenAI
client = OpenAI(api_key="sk-your-openai-key")
# After (TokenEase) — change 2 lines
client = OpenAI(
base_url="https://tokenease.io/v1",
api_key="sk-your-tokenease-key"
)
# Everything else stays exactly the same!
response = client.chat.completions.create(
model="kimi-k3", # just change model name
messages=[{"role":"user","content":"Hello!"}]
)
| Model | Input $/M | Output $/M | Best For |
|---|---|---|---|
| Kimi K3 | $0.28 cached / $3.50 fresh | $18.00 | Flagship, 256K context |
| Kimi K2.7 Code | $1.20 | $5.00 | Coding & agents |
| Kimi K2.7 Code HighSpeed | $2.50 | $10.00 | Lower-latency coding |
| GLM-4 Flash | $0.10 | $0.40 | Cheapest per token |
The catalogue holds 17 models; the other 13 are paused and return HTTP 503 model_unavailable. Always read GET /v1/models for the live list.
Four: Kimi K3, Kimi K2.7 Code, Kimi K2.7 Code HighSpeed and GLM-4 Flash. The other 13 models in the catalogue are paused upstream and return HTTP 503 model_unavailable with a suggested alternative. Check GET /v1/models — it lists each model with an enabled flag, so your integration never has to guess.
Yes. TokenEase uses the exact same API format as OpenAI. If you use the OpenAI Python/Node.js SDK, you only need to change the base_url and api_key. No other code changes needed.
Absolutely. Many users route different requests to different models — GPT-4o for the most critical tasks, Kimi K3 for everything else. This hybrid approach can cut costs significantly.