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Comparison

QuickSilver Pro vs Fireworks AI

Fireworks AI runs its own GPU fleet and sets premium prices for DeepSeek. 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 Fireworks' rates. Same OpenAI-compatible surface, two-line migration.

At a glance

FeatureQuickSilver ProFireworks AI
Catalog focusCurated frontier + open models; 45 accept image inputFireworks AIMany open models + vision + 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-tuning / deploymentsNoYes
FireFunction V2 (tool calling model)NoYes
Audio modelsNoYes
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$5Varies

Pricing (per million tokens, USD)

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

ModelQSP inputQSP outputFireworks AI inputFireworks AI outputvs. listQSP vs Fireworks AI (Fireworks) · in / out
DeepSeek V4 Flash 0731$0.06$0.18$0.14$0.28compare token ratesQSP $0.06 / $0.18Fireworks $0.14 / $0.28
DeepSeek V4 Pro$0.70$2.10$1.74$3.48~40% outputQSP $0.70 / $2.10Fireworks $1.74 / $3.48
Qwen3.6-35B-A3B$0.05$0.70ComparableComparable—QSP $0.05 / $0.70Fireworks Comparable / Comparable

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

Migration - two lines

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

client = OpenAI(
    base_url="https://api.fireworks.ai/inference/v1",
    api_key=os.environ["FIREWORKS_API_KEY"],
)

r = client.chat.completions.create(
    model="accounts/fireworks/models/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.