Nemotron Nano 9B V2 (free) APIOPEN WEIGHTS128K context

Pricing & specs mirror our live pricing as of July 2026 (pay-as-you-go).

What is Nemotron Nano 9B V2 (free)?

NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and...

Nemotron Nano 9B V2 (free) on the release timeline

Nemotron Nano 9B V2 (free) pricing

Nemotron Nano 9B V2 (free) has a free tier ($0 in / $0 out, rate-limited). Confirm current terms on live pricing before production use.

What Nemotron Nano 9B V2 (free) costs per month

Cost = input price × input volume + output price × output volume. The same five workloads run on every model page, so any two compare directly.

Nemotron Nano 9B V2 (free) vs alternatives

When not to use Nemotron Nano 9B V2 (free)

• The free tier is rate-limited — route production traffic through a paid model.
• It is served by a single provider, so there is less failover headroom during an outage.

Specs

How to call Nemotron Nano 9B V2 (free)

Copyfrom openai import OpenAI
client = OpenAI(base_url="https://api.datallmlab.com/v1", api_key="YOUR_DATALLM_LAB_KEY")
resp = client.chat.completions.create(
    model="nvidia/nemotron-nano-9b-v2:free",
    messages=[{"role": "user", "content": "Hello"}],
    # supports tools=[...] and tool_choice
)
print(resp.choices[0].message.content)

Copycurl https://api.datallmlab.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"nvidia/nemotron-nano-9b-v2:free","messages":[{"role":"user","content":"Hello"}]}'

Copyimport OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.datallmlab.com/v1", apiKey: process.env.DATALLM_KEY });
const r = await client.chat.completions.create({
  model: "nvidia/nemotron-nano-9b-v2:free",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(r.choices[0].message.content);

The same key routes Nemotron Nano 9B V2 (free) and 300+ other models — switch models by changing one string. How OpenAI-compatible APIs work.

Prompting tips for Nemotron Nano 9B V2 (free)

• State the goal, not every step. Nemotron Nano 9B V2 (free) reasons internally — give it the objective, constraints and success criteria and let it plan the approach; over-scripting each step tends to lower quality. Turn effort up for hard problems.
• Give it real tools. Pass a tools=[...] schema instead of asking it to "pretend" — let Nemotron Nano 9B V2 (free) emit tool calls, execute them, and feed results back for the next turn.
• Constrain JSON with a schema. Use response_format / structured outputs rather than "reply in JSON" to get valid, parseable objects every time.

Tips are derived from Nemotron Nano 9B V2 (free)'s actual capabilities — context window, tool & JSON support, modality and price tier — not generic advice.

Open-source tools for Nemotron Nano 9B V2 (free)

Popular open-source projects for running and building with Nemotron Nano 9B V2 (free) — star counts pulled from GitHub (July 2026).

Listed by GitHub stars; inclusion is by ecosystem relevance (inference engines, agent frameworks and SDKs), not affiliation. Stars change — see each repo for current numbers.

Migrating to Nemotron Nano 9B V2 (free)

Coming from OpenAI or another gateway? On an OpenAI-compatible setup the only changes are base_url → https://api.datallmlab.com/v1 and model → nvidia/nemotron-nano-9b-v2:free. Messages, streaming, tool calls and the rest of your code stay the same. Routing & failover guide.

Self-host or use the API?

Nemotron Nano 9B V2 (free) ships open weights (nvidia/NVIDIA-Nemotron-Nano-9B-v2, ~791.6K downloads and 498 likes in the last 30 days), with community quantizations (bf16) for smaller GPUs, so you can run it yourself. Most teams still use the API: no GPU to provision or keep warm, no inference ops, and instant access across 1 providers with automatic failover. Self-host when data residency or fixed per-token economics matter most.

Rate limits & reliability

Rate limits here are the DataLLM Lab gateway's, not the upstream vendor's. On 429 (rate limited) or 503 (provider busy), retry with exponential backoff. See the error-code guide and failover setup.

Related reading

Frequently asked questions