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Comparison

QuickSilver Pro vs Fireworks AI

Fireworks AI runs its own GPU fleet and sets premium prices for DeepSeek — $3.00 / $8.00 per 1M tokens on R1. QuickSilver Pro serves the same model at $0.40 / $1.70. On DeepSeek V3 we're ~20% cheaper; on R1, ~79% cheaper on output. Same OpenAI-compatible surface, two-line migration.

At a glance

FeatureQuickSilver Profireworks
Catalog focus3 open-source modelsMany open models + vision + fine-tuning
DeepSeek R1 output price$1.70 / 1M$8.00 / 1M
DeepSeek V3 output price$0.70 / 1M$0.90 / 1M
Fine-tuning / deploymentsNoYes
FireFunction V2 (tool calling model)NoYes
Image / audio modelsNoYes
OpenAI-compatible chatYesYes
Minimum top-up$5Varies

Pricing (per million tokens, USD)

Public list prices as of April 2026.

ModelQSP inputQSP outputfireworks inputfireworks outputSavings
DeepSeek V3$0.24$0.70$0.30$0.90~22%
DeepSeek R1$0.40$1.70$3.00$8.00~79%
Qwen3.5-35B-A3B$0.13$1.00ComparableComparable

Migration — two lines

After · QuickSilver Pro
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

How much cheaper on DeepSeek R1?

~87% on input, ~79% on output. Fireworks charges $3.00/$8.00 per 1M tokens for R1; QuickSilver Pro charges $0.40/$1.70.

How do I migrate?

Two lines: change base_url to api.quicksilverpro.io/v1, swap API key, drop the accounts/fireworks/models/ prefix from model IDs.

Is latency comparable?

Within 10% on p50 for V3 and Qwen; slightly higher on R1. Live per-model latency is at quicksilverpro.io/status.

Do you support FireFunction V2?

No. FireFunction V2 is Fireworks' proprietary fine-tuned model; it is not in the QuickSilver Pro catalog. For tool calling, DeepSeek V3 and Qwen3.5-35B-A3B both support the OpenAI tools / function calling API.

Try it on $1 free credits

Change two lines, save 20% instantly.

Get API Key