QuickSilver Pro vs DeepInfra
DeepInfra is the budget-friendly option among DeepSeek resellers. QuickSilver Pro is still lower on most legs: ~30% cheaper on DeepSeek V3 output, ~9% cheaper on DeepSeek R1 output. On DeepSeek R1 input we're roughly at parity (QSP $0.56 vs DeepInfra $0.55). If you're cost-sensitive enough to already be on DeepInfra, the V3 savings compound. Same OpenAI-compatible API, two-line migration.
At a glance
| Feature | QuickSilver Pro | deepinfra |
|---|---|---|
| Catalog focus | 9 open-source LLMs | 60+ open models, vision, audio |
| DeepSeek V3 output price | $0.616 / 1M | $0.88 / 1M |
| DeepSeek R1 output price | $2.00 / 1M | $2.19 / 1M |
| Cached input discount | Not yet | Yes (DeepSeek V3/V3.1) |
| Embeddings / audio / image | No | Yes |
| Dedicated deployments | No | Yes |
| OpenAI-compatible chat | Yes | Yes |
| Minimum top-up | $5 | $20 |
Pricing (per million tokens, USD)
Public list prices as of May 2026.
| Model | QSP input | QSP output | deepinfra input | deepinfra output | Savings |
|---|---|---|---|---|---|
| DeepSeek V3 | $0.16 | $0.616 | $0.28 | $0.88 | ~30% |
| DeepSeek R1 | $0.56 | $2.00 | $0.55 | $2.19 | ~9% output |
| Qwen3.5-35B-A3B | $0.111 | $0.80 | Comparable | Comparable | — |
Migration - two lines
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-v3",
messages=[{"role": "user", "content": "Hi"}],
)FAQ
On list pricing: ~43% cheaper input + ~30% cheaper output on DeepSeek V3. On DeepSeek R1, input is roughly at parity (QSP $0.56 vs DeepInfra $0.55 — QSP is marginally higher) while output is ~9% cheaper ($2.00 vs $2.19). Cached-input pricing on DeepInfra can change the math; compare effective per-request cost for cache-heavy workloads.
Two lines: swap base_url to api.quicksilverpro.io/v1, new API key, drop the deepseek-ai/ or Qwen/ prefix.
Yes — cached-input tokens bill at a separate, lower cache-read rate on DeepSeek V3/V4 and the Qwen/Kimi models, so repeat prompts cost less than fresh input. Both providers discount cached input; benchmark effective per-request cost if cache-hit ratio is material for your workload.
Not offered. QuickSilver Pro is chat completions only on 7 LLMs. DeepInfra covers those modalities.