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Nemotron 3 Super 120B (Free) is no longer listed in the catalog. See NVIDIA Nemotron 3.5 Lightning (Free) instead, or browse the current models.

Nemotron 3 Super 120B (Free)

nvidia/nemotron-3-super-120b

nvidia

NVIDIA MoE model (12B active params) with thinking mode. Fast and capable reasoning

Code Examples

from blockrun_llm import LLMClient

client = LLMClient()  # Uses BLOCKRUN_WALLET_KEY (never sent to server)
response = client.chat("nvidia/nemotron-3-super-120b", "Hello!")
import { LLMClient } from '@blockrun/llm';

const client = new LLMClient();  // Uses BLOCKRUN_WALLET_KEY (never sent to server)
const response = await client.chat('nvidia/nemotron-3-super-120b', 'Hello!');
curl -X POST https://blockrun.ai/api/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "PAYMENT-SIGNATURE: <payment_header>" \
  -d '{
    "model": "nvidia/nemotron-3-super-120b",
    "messages": [{"role": "user", "content": "Hello!"}],
    "max_tokens": 1024
  }'
7.88 s
median latency
65.5 s
p95 latency
96.3%
success rate
10,000+
calls, last 7 days

On BlockRun since 2026-03-24. Measured on BlockRun over the last 7 days, end to end, successful calls only. Not a vendor benchmark.

Pricing

InputFree / 1M tokens
OutputFree / 1M tokens
Context131K tokens
Max Output16K tokens

Free model — no payment or wallet required.

Payment

Network
Base
Currency
USDC
Protocol
x402

Pay per request with USDC on Base. No subscription required.

Try It

Send a message to try Nemotron 3 Super 120B (Free)

Connect your wallet to enable payments

About NVIDIA Nemotron 3 Super 120B (Free)

Nemotron 3 Super 120B (Free) is a reasoning and coding model from NVIDIA with a 131K-token context window and up to 16K tokens of output per call. It is free to call here — no payment header and no wallet. It is served through BlockRun's OpenAI-compatible API, so it can be called without an account, an API key, or a subscription.

What it costs

Nemotron 3 Super 120B (Free) is free to call on BlockRun. No payment header is required, no wallet needs funding, and no API key is issued — requests are rate limited per IP rather than billed. It is a practical way to develop against the API surface before moving production traffic onto a paid model.

Specifications

Context window
131,072 tokens
Maximum output
16,384 tokens
API compatibility
OpenAI-compatible
Payment
Free — no payment required
Categories
chat, reasoning, coding

Calling it from your code

Pass nvidia/nemotron-3-super-120b as the model field. Because the endpoint mirrors the OpenAI chat completions schema, any existing OpenAI client works by changing the base URL — streaming, tool use, and multi-turn messages all behave the same way.

The first request returns a 402 carrying the exact price; a signed retry runs it, and client libraries fold the two into one call — how the payment works. See the documentation for request and response shapes, the LLM API page for every model on this endpoint, or browse the full catalog of 78 chat models to compare alternatives.

Two ways to run this

Get an API key

Sign in, get a key, and call the same endpoints with usage billed to your account. For teams that want one invoice instead of one wallet.

Get an API key 

Or let your agent pay per call, in USDC

No account, no API key. Three steps, and the last one is the request this page is about.

  1. 01
    Point your agent at BlockRun

    Install ClawRouter, or add the BlockRun MCP server to Claude Code, Cursor, Codex or OpenClaw. Any OpenAI-compatible client works too — change the base URL, nothing else.

    curl -fsSL https://blockrun.ai/ClawRouter-update | bash
  2. 02
    Fund a wallet with USDC

    Send USDC to a wallet on Base or Solana. There is no account to create and no API key to issue: the wallet is the account, and it pays per call.

  3. 03
    Call Nemotron 3 Super 120B (Free)

    The first call returns HTTP 402 with the exact price, your agent signs it, and the answer comes back. Payment settles on-chain; nothing is charged if the call fails.

    curl -X POST https://blockrun.ai/api/v1/chat/completions \
      -H "Content-Type: application/json" \
      -d '{"model": "nvidia/nemotron-3-super-120b", "messages": [{"role": "user", "content": "Hello!"}]}'