QuickSilver Pro vs AWS Bedrock
Bedrock is the right choice when AWS-native integration (IAM, Guardrails, Knowledge Bases, VPC endpoints, BYO-VPC inference) is load-bearing for compliance. For everyone else, QuickSilver Pro serves the latest DeepSeek and Qwen weights at competitive per-token rates through the OpenAI-compatible API your stack already speaks. DeepSeek V4 Pro ($0.435 / $0.87) is the closest replacement for Bedrock's DeepSeek reasoning, plus you get the whole V4 wave, Qwen 3.6, and Kimi K2.6 that Bedrock doesn't carry.
At a glance
| Feature | QuickSilver Pro | bedrock |
|---|---|---|
| Open-source LLM catalog | Kimi K3, GLM 5.2, MiniMax M3, DeepSeek V4 Flash + Pro, Qwen 3.7 Max, Kimi K2.6 | Earlier DeepSeek generations, Llama 3.x, Mistral, Nova, Anthropic Claude |
| DeepSeek V4 Pro | $0.435 / $0.87 | Not offered |
| API surface | OpenAI-compatible (drop-in) | Bedrock Runtime (AWS SDK) or Converse API |
| AWS IAM / VPC / Guardrails | No | Yes |
| Closed frontier models (Claude, Nova) | Claude yes — 20% below Bedrock's own rate | Yes |
| Minimum top-up | $5 | AWS billing |
| Auth | API key (Bearer) | SigV4 signed requests |
Pricing (per million tokens, USD)
Competitor list prices as published by each provider.
| Model | QSP input | QSP output | bedrock input | bedrock output | vs. list |
|---|---|---|---|---|---|
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.55 | $2.19 | ~68% output |
| DeepSeek V4 Flash | $0.112 | $0.224 | — | — | not on Bedrock |
Migration - two lines
import os
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-pro",
messages=[{"role": "user", "content": "Hi"}],
)FAQ
Mapping Bedrock's DeepSeek reasoning to DeepSeek V4 Pro, QuickSilver Pro is ~68% lower on output ($0.87 vs $2.19 per 1M). On the rest of the V4 wave (V4 Flash), Qwen 3.6, and Kimi K2.6 the comparison is moot because Bedrock doesn't carry those weights yet — QSP is the only managed provider for the latest DeepSeek and Qwen releases.
If IAM / VPC endpoints / Guardrails / Knowledge Bases / BYO-VPC are load-bearing for your compliance story, or if you need Claude / Nova / closed models in the same provider. The Bedrock premium pays for AWS-native integration; QuickSilver Pro is for teams who don't need that and would rather not pay the markup.
Drop the AWS SDK / SigV4 plumbing and use the openai SDK directly: base_url="https://api.quicksilverpro.io/v1", api_key="$QSP_KEY". Bedrock's Converse API is broadly equivalent in capability to OpenAI chat completions; QSP serves the OpenAI shape directly so any OpenAI SDK works unchanged.
Not natively. QSP is focused on raw chat-completions inference at a narrow surface and predictable price — not a wider LLM platform. For Guardrails-equivalent content moderation, drop in any open-source moderation library against the chat output. For RAG, our 1M-context V4 Pro and 262K-context Qwen 3.6 let you skip the vector store entirely on small-to-mid corpora.