Independently benchmarked · Artificial Analysis
The fastest Nemotron 3 Ultra.
Not by a little.
NVIDIA's frontier open-weights reasoning model — 550B parameters, served at 454 tokens per second. Ranked #1 for output speed among every API provider Artificial Analysis benchmarks, 47% ahead of the runner-up, at roughly a third of its price.
- 454 t/s output
- +47% vs #2
- $0.44 / 1M tokens
- Open weights · E2EE
Head to head · #1 vs #2
Same model. Same prompt.
Watch the gap open.
Identical weights, identical prompt, streamed side by side against Nebius — the #2 provider on the leaderboard. BLACKBOX AI answers sooner and streams 47% faster, so the same completion simply lands first. The readouts are the published Artificial Analysis figures.
The leaderboard
Every provider.
One clear #1.
Artificial Analysis continuously benchmarks every API provider serving Nemotron 3 Ultra — same methodology, same token counting, published in the open. BLACKBOX AI holds the top output speed with the lowest time-to-first-answer among the fast providers, and one of the lowest prices on the board.
Verify the numbers · Artificial AnalysisOutput speed · ranked
t/s · TTFA · $ / 1MThe engine
Same weights as everyone else.
A very different engine.
Custom CUDA kernels
We generate tokens, not resell them. Direct access to open weights lets us self-host on our own infrastructure, with kernels tuned for exactly this architecture.
FP4 on NVIDIA B300
Advanced quantization on latest-generation hardware. On the same bench, FP4 leads BF16 on every axis — with no measurable quality loss on evals.
Multi-token prediction
Nemotron ships a built-in MTP head. Our engine exploits it for speculative decoding, emitting multiple tokens per forward pass instead of one.
Encrypted end to end
Speed without the trade-off: prompts and completions are encrypted in transit and at the edge, never logged, retained, or used for training.
Drop-in
Point your SDK at it.
Nothing else changes.
The BLACKBOX API is OpenAI-compatible — swap the base URL and key, set the model to blackboxai/nvidia/nemotron-3-ultra, and every token arrives 47% sooner. Streaming, function calling, and JSON mode work unchanged.
from openai import OpenAI
client = OpenAI(
base_url="https://api.blackbox.ai/v1",
api_key="YOUR_BLACKBOX_API_KEY",
)
stream = client.chat.completions.create(
model="blackboxai/nvidia/nemotron-3-ultra",
messages=[{"role": "user", "content": "Explain CUDA, step by step."}],
stream=True,
)
for chunk in stream:
print(chunk.choices[0].delta.content or "", end="")