NVIDIA Nemotron 3 Super 120B A12B BF16
NVIDIA Nemotron 3 Super 120B A12B BF16 on Zumik: live pricing, context, and caching, routable by id or alias through one OpenAI-compatible endpoint.
At a glance.
| Provider | Fireworks AI |
| Family | nemotron_h |
| Released | 2026-03 |
| License | Open weights |
| Context window | 256K tokens |
| Max output | 33K tokens |
| Parameters | 120B |
| Modalities | text |
| Tool calling | Yes |
| Reasoning mode | Yes |
| Caching | none |
| Batch discount | No batch tier |
What reuse looks like here.
Pricing, context, and capabilities for NVIDIA Nemotron 3 Super 120B A12B BF16 are live, but it is outside the flagship set Zumik benchmarks in depth, so measured reuse, capture, and warm TTFT are not shown yet. Run a workload estimate or route it by id to start collecting traces.
What you actually pay once caching works.
At a typical 55% prefix reuse, a million input tokens on NVIDIA Nemotron 3 Super 120B A12B BF16 effectively costs $0.30 instead of $0.30 - blending to roughly $0.45 with a 25% output share. There is no batch tier, so cost control here leans on caching and routing.
Estimate it for your workloadRoute it directly by id, or let an alias pick it when it wins under policy.
Same OpenAI client, this model.
from openai import OpenAI
client = OpenAI(base_url="https://api.zumik.ai/v1", api_key="zk_live_...")
r = client.responses.create(
model="nemotron-3-super-120b-a12b-bf16",
input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached) # confirm reuseNVIDIA Nemotron 3 Super 120B A12B BF16, answered.
How much does NVIDIA Nemotron 3 Super 120B A12B BF16 cost?
NVIDIA Nemotron 3 Super 120B A12B BF16 is $0.30 per million input tokens and $0.90 per million output tokens through Zumik. Cache reads are $0.30 per million, a 0% discount on input.
What is NVIDIA Nemotron 3 Super 120B A12B BF16's context window?
NVIDIA Nemotron 3 Super 120B A12B BF16 supports a 256K-token context window with up to 33K output tokens.
Run NVIDIA Nemotron 3 Super 120B A12B BF16 with reuse measured.
Point an OpenAI client at Zumik and see exactly how much of this model's input you are reusing.