QuickSilver Pro vs Together AI
Together AI prices DeepSeek on its own GPUs at a premium tier. QuickSilver Pro serves the latest DeepSeek V4 wave — V4 Flash at $0.086 / $0.173 for low-cost chat and V4 Pro at $0.70 / $2.10 for premium reasoning — well below Together's rates, with per-token cache pricing on top.
At a glance
| Feature | QuickSilver Pro | together-ai |
|---|---|---|
| Catalog focus | Latest open-source models | 50+ open models + fine-tuning |
| DeepSeek V4 Pro output | $2.10 / 1M | $3.48 / 1M |
| Official V4 Flash 0731 | $0.086 / $0.173 | $0.14 / $0.28 |
| Fine-tuning | No | Yes |
| Dedicated inference endpoints | No | Yes |
| Embeddings | No | Yes |
| Image generation | Gemini 3 Pro Image, FLUX.2 Pro, FLUX.1 Schnell, SDXL Turbo, FLUX.2 Klein, Qwen-Image Max, Seedream 5.0 Pro, Seedream 4, Bria FIBO 1.5 and GPT Image 2 | Yes |
| OpenAI-compatible chat | Yes | Yes |
| Minimum top-up | $5 | Not published |
Pricing (per million tokens, USD)
Competitor list prices, last checked 2026-08-12.
| Model | QSP input | QSP output | together-ai input | together-ai output | vs. list |
|---|---|---|---|---|---|
| DeepSeek V4 Flash 0731 | $0.086 | $0.173 | $0.14 | $0.28 | 38% |
| DeepSeek V4 Pro | $0.70 | $2.10 | $1.74 | $3.48 | ~40% output |
| Qwen3.6-Plus | $0.26 | $1.56 | $0.50 | $3.00 | ~48% |
| Kimi K3 | $2.55 | $12.75 | $3.00 | $15.00 | 15% |
| Muse Glimmer 30B | $0.28 | $1.20 | $0.35 | $1.50 | 20% |
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
On the same V4 Pro model, QuickSilver Pro is $0.70 / $2.10 per 1M tokens versus Together's current $1.74/$3.48 rate — about 60% lower on input and 40% lower on output. The official V4 Flash 0731 build is $0.086 / $0.173 versus Together's $0.14/$0.28, about 38% lower on both legs.
Change base_url from api.together.xyz/v1 to api.quicksilverpro.io/v1 and swap the API key. Model ID mappings: deepseek-ai/DeepSeek-V4-Pro -> deepseek-v4-pro.
If you fine-tune custom models, reserve dedicated GPU endpoints, use Llama or Mistral, or need embeddings — we do not serve those. Image generation we do: Gemini 3 Pro Image, FLUX.2 Pro, FLUX.1 Schnell, SDXL Turbo, FLUX.2 Klein, Qwen-Image Max, Seedream 5.0 Pro, Seedream 4, Bria FIBO 1.5 and GPT Image 2.
Yes for chat: streaming, tools, and usage.cost all work through the official OpenAI SDK. json_schema strict mode is model-dependent — the Claude models do not support it, so use a tool with `strict: true` there.