OpenRouter → QuickSilver Pro

The 5 steps

1. 1

   Get a QuickSilver Pro API key

   Sign up at quicksilverpro.io/dashboard. First top-up bonus: we match your first top-up 100%, up to $50 — added to your balance when you top up again (any amount from $5).

2. 2

   Change the base URL

   In your OpenAI SDK init, swap the base_url.

   - base_url="https://openrouter.ai/api/v1"
   + base_url="https://api.quicksilverpro.io/v1"

3. 3

   Swap the API key

   Replace OPENROUTER_KEY with your QSP key.

   - api_key=os.environ["OPENROUTER_KEY"],
   + api_key=os.environ["QSP_KEY"],

4. 4

   Rename model IDs

   Drop the provider/ prefix. The Qwen models also drop the trailing -a3b MoE-config suffix.

   OpenRouter	QuickSilver Pro
   deepseek/deepseek-v4-flash-0731	deepseek-v4-flash
   deepseek/deepseek-v4-pro	deepseek-v4-pro
   qwen/qwen3.7-max	qwen3.7-max
   qwen/qwen3.7-plus	qwen3.7-plus
   qwen/qwen3.7-flash	qwen3.7-flash
   qwen/qwen3.6-plus	qwen3.6-plus
   qwen/qwen3.6-35b-a3b	qwen3.6-35b
   moonshotai/kimi-k2.6	kimi-k2.6
   moonshotai/kimi-k2.7-code	kimi-k2.7-code
   moonshotai/kimi-k3	kimi-k3
   z-ai/glm-5.3	glm-5.3
   z-ai/glm-5.3-flash	glm-5.3-flash
   openai/gpt-oss-120b	gpt-oss-120b
   qwen/qwen3.8-27b	qwen3.8-27b
   qwen/qwen3.8-flash	qwen3.8-flash-next
   qwen/qwen3.8-omni-flash	qwen3.8-omni-flash
   z-ai/glm-5.2	glm-5.2

5. 5

   Test your core flows end-to-end

   Run one representative request for each feature — chat, tool_calls, json_schema strict mode, streaming. Apart from the known difference below, any behavioral diff is a bug — report it.

   One known difference: json_schema strict mode is model-dependent. The Claude models do not support it, so a schema there is advisory and the enforced path is a tool with strict: true — structured output.

Full before/after

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key=os.environ["OPENROUTER_KEY"],
)

r = client.chat.completions.create(
    model="deepseek/deepseek-v4-flash-0731",
    messages=[{"role": "user", "content": "Hi"}],
)

from openai import OpenAI

client = OpenAI(
    base_url="https://api.quicksilverpro.io/v1",
    api_key=os.environ["QSP_KEY"],
)

r = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[{"role": "user", "content": "Hi"}],
)

Common migration pitfalls

Need help?

Email hello@quicksilverpro.io — a human replies usually within 4 hours. For the broader analysis, see QuickSilver Pro vs OpenRouter.