QuickSilver Pro vs Together AI
Together AI lists DeepSeek R1 at $3.00 / $7.00 per 1M tokens — a pricing tier they set for their own GPUs. QuickSilver Pro serves the same model at $0.56 / $2.00, which is ~71% cheaper on output. For reasoning workloads that consume R1's long chain-of-thought, the gap compounds fast.
At a glance
| Feature | QuickSilver Pro | together-ai |
|---|---|---|
| Catalog focus | 9 open-source models | 50+ open models + fine-tuning |
| DeepSeek R1 output price | $2.00 / 1M | $7.00 / 1M |
| DeepSeek V3 output price | $0.616 / 1M | $1.10 / 1M |
| Fine-tuning | No | Yes |
| Dedicated inference endpoints | No | Yes |
| Embeddings / images | No | Yes |
| OpenAI-compatible chat | Yes | Yes |
| Minimum top-up | $5 | $25 |
Pricing (per million tokens, USD)
Public list prices as of May 2026.
| Model | QSP input | QSP output | together-ai input | together-ai output | Savings |
|---|---|---|---|---|---|
| DeepSeek V3 | $0.16 | $0.616 | $0.27 | $1.10 | ~44% |
| DeepSeek R1 | $0.56 | $2.00 | $3.00 | $7.00 | ~71% |
| Qwen3.5-35B-A3B | $0.111 | $0.80 | Comparable | Comparable | — |
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-r1",
messages=[{"role": "user", "content": "Hi"}],
)FAQ
On DeepSeek R1, ~81% cheaper on input and ~71% cheaper on output. Together charges $3.00/$7.00 per 1M tokens; QuickSilver Pro charges $0.56/$2.00.
Change base_url from api.together.xyz/v1 to api.quicksilverpro.io/v1, swap API key, drop the deepseek-ai/ or Qwen/ prefix from model IDs.
If you fine-tune custom models, reserve dedicated GPU endpoints, use Llama or Mistral, or need embeddings/image generation. QuickSilver Pro is chat completions only on 7 models.
Yes for chat: streaming, tools, json_schema, usage.cost all work through the official OpenAI SDK.