One API to Rule All 30+ LLMs: Real Benchmark Test of TokenPAPA
Managing multiple AI model providers is a nightmare. Different APIs, different SDKs, different billing — it is exhausting.
TokenPAPA solves this by giving you one OpenAI-compatible API that routes to 30+ models from every major provider. We put it to the test with real inference workloads.
How It Works
TokenPAPA acts as a unified gateway. Instead of signing up for 10 different AI providers, you get:
- One API key
-
One base URL (
https://tokenpapa.ai/v1) - One SDK (OpenAI-compatible, works with Python, Node.js, curl, and anything that speaks the OpenAI protocol)
To switch models, you change exactly one thing in your code — the model parameter.
Models We Tested
We tested 22 models across 10 providers on real translation workloads:
🇨🇳 Chinese Providers
| Provider | Models Tested | Best For |
|---|---|---|
| DeepSeek | V4 Pro, V4 Flash | Deep reasoning |
| Mimo (Xiaomi) | V2.5 Pro, V2.5 | Cost efficiency |
| Qwen (Alibaba) | 3.5 Plus, 3.5 Flash | General purpose |
| GLM (Zhipu) | 5, 5.1 | Complex tasks |
| Kimi (Moonshot) | K2.6 | Long context |
| Minimax | M2.7, M2.5, M3 | Fast responses |
| Hy3 | Preview | Lightweight |
🌍 Global Providers
| Provider | Models Tested | Best For |
|---|---|---|
| OpenAI | GPT-5.5, GPT-5.4, GPT-5.4 Mini | All-purpose |
| Anthropic | Claude Sonnet 4.6, Opus 4.6 | Safety & nuance |
| Gemini 3.5 Flash, 3 Flash, 3.1 Pro, 3.1 Flash | Multimodal |
Real Benchmark Results
We asked each model to write an 800-character article about AI development in Chinese. Here are the results:
Fastest Responses
| Model | Time | Tokens | Output |
|---|---|---|---|
| Gemini 3.1 Flash Image | 5.7s 🥇 | 625 | 1,080 chars |
| GPT-5.4 Mini | 8.9s 🥈 | 914 | 1,317 chars |
| GPT-5.5 | 11.3s 🥉 | 835 | 1,105 chars |
Most Output
| Model | Output | Time |
|---|---|---|
| Mimo V2.5 | 1,982 chars 🥇 | 23.1s |
| Minimax M3 | 1,685 chars 🥈 | 14.8s |
| Gemini 3 Pro Image | 1,675 chars 🥉 | 25.2s |
Best Value (Tokens Used Efficiently)
| Model | Tokens | Per-char cost |
|---|---|---|
| Hy3 Preview | 527 🥇 | Most efficient |
| Gemini 3.1 Flash | 625 🥈 | Very efficient |
| GPT-5.5 | 835 🥉 | Efficient |
Full Results Table
| Model | Status | Tokens | Time |
|---|---|---|---|
| Mimo V2.5 Pro | ✅ | 1,032 | 17.9s |
| Mimo V2.5 | ✅ | 1,580 | 23.1s |
| GLM-5 | ✅ | 1,785 | 42.3s |
| GLM-5.1 | ✅ | 1,985 | 47.3s |
| Minimax M2.5 | ✅ | 1,145 | 19.2s |
| Minimax M3 | ✅ | 927 | 14.8s |
| DeepSeek V4 Pro | ✅ | 962 | 27.6s |
| GPT-5.5 | ✅ | 835 | 11.3s |
| GPT-5.4 | ✅ | 842 | 11.6s |
| GPT-5.4 Mini | ✅ | 914 | 8.9s |
| Qwen 3.5 Flash | ✅ | 4,840 | 46.4s |
| Kimi K2.6 | ✅ | 2,702 | 22.2s |
| Gemini 3.5 Flash | ✅ | 2,030 | 12.6s |
| Gemini 3 Flash | ✅ | 1,646 | 13.5s |
| Gemini 3.1 Pro | ✅ | 2,030 | 16.9s |
| Gemini 3.1 Flash | ✅ | 625 | 5.7s |
| Claude Sonnet 4.6 | ✅ | 1,537 | 28.8s |
| Claude Opus 4.6 | ✅ | 1,332 | 21.9s |
Getting Started
Using TokenPAPA is straightforward:
curl -X POST "https://tokenpapa.ai/v1/chat/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4-pro",
"messages": [{"role": "user", "content": "Hello!"}]
}'
Or in Python:
from openai import OpenAI
client = OpenAI(
api_key="your-tokenpapa-key",
base_url="https://tokenpapa.ai/v1"
)
response = client.chat.completions.create(
model="deepseek-v4-pro",
messages=[{"role": "user", "content": "Hello!"}]
)
Switch to any of the 30+ supported models by changing the model parameter. That is it.
Bottom Line
TokenPAPA delivers on its promise: one API, 30+ models, real results. Whether you are optimizing for speed (Gemini 3.1 Flash at 5.7s), cost (Mimo V2.5), or quality (DeepSeek V4 Pro), everything is available through a single integration.
Try it free — sign up today and get free credits to test any model you like.
Originally published at https://doc.tokenpapa.ai/en/docs/blog/one-api-all-30-models.
Top comments (0)