NVIDIA Nemotron Nano 2 VL

NVIDIA Nemotron Nano 2 VL on Zumik: live pricing, context, and caching, routable by id or alias through one OpenAI-compatible endpoint.

Input / 1M tokens
Output / 1M tokens
Cache read
131K
Context window

At a glance.

ProviderFireworks AI
Familynemotronh_nano_vl_v2
Released
LicenseOpen weights
Context window131K tokens
Max output
Parameters13B
Modalitiestext, image
Tool callingNo
Reasoning modeNo
Cachingnone
Batch discountNo batch tier

What reuse looks like here.

Not yet profiled

Pricing, context, and capabilities for NVIDIA Nemotron Nano 2 VL 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.

Same OpenAI client, this model.

python
from openai import OpenAI

client = OpenAI(base_url="https://api.zumik.ai/v1", api_key="zk_live_...")

r = client.responses.create(
    model="nemotron-nano-v2-12b-vl",
    input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached)   # confirm reuse

NVIDIA Nemotron Nano 2 VL, answered.

How much does NVIDIA Nemotron Nano 2 VL cost?

NVIDIA Nemotron Nano 2 VL is an open-weights model routed through Fireworks AI. It is priced on the host's serverless size tier rather than a single published per-token list price, so it shows "—" here until profiled.

What is NVIDIA Nemotron Nano 2 VL's context window?

NVIDIA Nemotron Nano 2 VL supports a 131K-token context window.

Run NVIDIA Nemotron Nano 2 VL with reuse measured.

Point an OpenAI client at Zumik and see exactly how much of this model's input you are reusing.