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Comparison

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 $0.06 / $0.18 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

FeatureQuickSilver ProTogether AI
Catalog focusLatest open-source modelsTogether AI50+ open models + fine-tuning
DeepSeek V4 Pro output$2.10 / 1M$3.48 / 1M
Official V4 Flash 0731$0.06 / $0.18$0.14 / $0.28
Fine-tuningNoYes
Dedicated inference endpointsNoYes
EmbeddingsNoYes
Image generationNano Banana Pro (Gemini 3 Pro Image), Nano Banana 2.1, FLUX.2 Pro, FLUX.1 Schnell, SDXL Turbo, FLUX.2 Klein, Qwen Image 3.0, Seedream 5.0 Pro, Seedream 4, Bria FIBO 1.5, Bria FIBO 2.0, GPT Image 2, GPT Image 2.5 Flare and GPT Image 2.5 SunburstYes
OpenAI-compatible chatYesYes
Minimum top-up$5Not published

Pricing (per million tokens, USD)

Competitor list prices, last checked 2026-08-12.

ModelQSP inputQSP outputTogether AI inputTogether AI outputvs. listQSP vs Together AI (Together) · in / out
DeepSeek V4 Flash 0731$0.06$0.18$0.14$0.28compare token ratesQSP $0.06 / $0.18Together $0.14 / $0.28
DeepSeek V4 Pro$0.70$2.10$1.74$3.48~40% outputQSP $0.70 / $2.10Together $1.74 / $3.48
Qwen3.6-Plus$0.26$1.56$0.50$3.00~48%QSP $0.26 / $1.56Together $0.50 / $3.00
Kimi K3$2.55$12.75$3.00$15.0015%QSP $2.55 / $12.75Together $3.00 / $15.00
Muse Glimmer 30B$0.30$1.20$0.35$1.50compare token ratesQSP $0.30 / $1.20Together $0.35 / $1.50

QSP columns come from the live catalog at build time; Together AI columns are the published rates read on the date above.

Migration - two lines

Full migration guide
Before · Together AI
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.together.xyz/v1",
    api_key=os.environ["TOGETHER_API_KEY"],
)

r = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V4-Pro",
    messages=[{"role": "user", "content": "Hi"}],
)
After - QuickSilver Pro
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"}],
)

The two changed lines are marked. Model IDs also change — see the 1 mapping in the guide.

FAQ

Start with your own key

Change two lines. Compare current per-token prices before your first call.