Compare models with real workloads
Test coding, reasoning, tool use, and long-context behavior before you commit production traffic.
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Access GPT, Claude, Gemini, DeepSeek, Qwen, and more through one OpenAI-compatible API with clear pricing, managed routing, and unified logs.Access DeepSeek, Qwen, Kimi, Doubao, GLM, and more through one OpenAI-compatible API with unified pricing, keys, balances, and logs.
Use the OpenAI-compatible endpoint with your existing SDK or send a direct HTTP request.
Sign in to the console and create a key for your project.
Point your OpenAI-compatible client to the /v1 endpoint.
Start with a small request, then review pricing and logs before scaling.
export BASE_URL=https://YOUR_API_HOST/v1
export API_KEY=your_api_key
curl "$BASE_URL/chat/completions" \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "YOUR_MODEL_ID",
"messages": [
{"role": "user", "content": "Hello"}
]
}'Access GPT, Claude, Gemini, DeepSeek, Qwen, and more without maintaining a separate integration for every provider.Use DeepSeek, Qwen, Kimi, Doubao, GLM, and other domestic models through one endpoint with fewer account and configuration changes.
Change the Base URL and API key in compatible tools or applications instead of rewriting your client.
Review balance, usage, and request history from one console across supported models.
Compare current prices, test representative requests, and estimate cost before moving production traffic.
Choose different models for coding, reasoning, multimodal work, latency, or cost without changing your API pattern.
Use request history to check model names, status, usage, and common configuration errors.
Keep one API shape while you compare models, pricing, and real request behavior. Upstream services can still fail, so clear logs and fallback options matter.
Test coding, reasoning, tool use, and long-context behavior before you commit production traffic.
Keep the same client setup while you switch models or adjust routing for a different workload.
Use balance, pricing, and request logs to understand spend and troubleshoot calls before traffic grows.
Compare model strengths, supported endpoints, and current pricing before choosing what should handle coding, reasoning, multimodal, or high-volume work.Compare DeepSeek, Qwen, Kimi, Doubao, and GLM by workload, endpoint support, and current pricing before you scale.
See what this model is good for, what to check before setup, and whether it fits your workload.
See what this model is good for, what to check before setup, and whether it fits your workload.
See what this model is good for, what to check before setup, and whether it fits your workload.
See what this model is good for, what to check before setup, and whether it fits your workload.
See what this model is good for, what to check before setup, and whether it fits your workload.
Create an API key, replace the SDK Base URL with the endpoint shown in the documentation, choose a supported model ID, and send a small test request.
For supported OpenAI-compatible endpoints, you can usually keep the same client pattern and change the model ID. Check the model page for endpoint-specific differences.
Compare current prices, test representative prompts, review request logs, and confirm fallback behavior before moving production traffic.