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Llama 3.2 11B Vision (Free) API

nvidia/llama-3.2-11b-vision

nvidia

Meta's Llama 3.2 11B Vision hosted free by NVIDIA. Accepts images; 128K context.

Code Examples

from blockrun_llm import LLMClient

client = LLMClient()  # Uses BLOCKRUN_WALLET_KEY (never sent to server)
response = client.chat("nvidia/llama-3.2-11b-vision", "Hello!")
import { LLMClient } from '@blockrun/llm';

const client = new LLMClient();  // Uses BLOCKRUN_WALLET_KEY (never sent to server)
const response = await client.chat('nvidia/llama-3.2-11b-vision', 'Hello!');
curl -X POST https://blockrun.ai/api/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "PAYMENT-SIGNATURE: <payment_header>" \
  -d '{
    "model": "nvidia/llama-3.2-11b-vision",
    "messages": [{"role": "user", "content": "Hello!"}],
    "max_tokens": 1024
  }'
9.07 s
median latency
95.9 s
p95 latency
98.6%
success rate
10,000+
calls, last 7 days

On BlockRun since 2026-08-30. 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
Context128K 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 Llama 3.2 11B Vision (Free)

Connect your wallet to enable payments

About NVIDIA Llama 3.2 11B Vision (Free)

Llama 3.2 11B Vision (Free) is a vision model from NVIDIA with a 128K-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.

Use Llama 3.2 11B Vision (Free) for

  • Reading screenshots, charts, scans and photos alongside text
  • Chat assistants and agents that answer, summarise and draft
  • Prototyping and evaluation at no cost

What it costs

Llama 3.2 11B Vision (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
128,000 tokens
Maximum output
16,384 tokens
API compatibility
OpenAI-compatible
Payment
Free — no payment required
Categories
chat, vision

Calling it from your code

Pass nvidia/llama-3.2-11b-vision 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 90 chat models to compare alternatives.

Llama 3.2 11B Vision (Free) or another model

The closest alternatives by price that do the same kind of work. Each is called on the same endpoint with the same request, so comparing two is a one-line change.

ModelPriceContext
NVIDIA Llama 3.2 11B Vision (Free) (this page)Free128K context
NVIDIA Nemotron 3 Nano Omni (Free)Free256K context
DeepSeek Chat (V4.1 Flash)$0.14 in / $0.28 out per 1M1.05M context
DeepSeek Reasoner (V4.1 Flash)$0.14 in / $0.28 out per 1M1.05M context

Llama 3.2 11B Vision (Free) API questions

How much does the Llama 3.2 11B Vision (Free) API cost?

Llama 3.2 11B Vision (Free) is free to call here, with no payment header and no wallet.

What is Llama 3.2 11B Vision (Free)'s context window?

128,000 tokens of context, with up to 16,384 tokens of output per call.

Is the Llama 3.2 11B Vision (Free) API OpenAI-compatible?

Yes. Send an OpenAI chat-completions request with "model": "nvidia/llama-3.2-11b-vision" to the BlockRun endpoint. An existing OpenAI client works by changing the base URL; streaming and multi-turn messages behave the same way.

Do I need an API key to use Llama 3.2 11B Vision (Free)?

No. Each request carries its own payment, so an agent or script can call Llama 3.2 11B Vision (Free) with no account and no key. Teams that prefer one can use an API key with card or invoice billing instead.

Can Llama 3.2 11B Vision (Free) read images?

Yes. Send images in the message content alongside text, in the OpenAI image_url format, and Llama 3.2 11B Vision (Free) reads them with the prompt.

What happens if Llama 3.2 11B Vision (Free) is unavailable?

A request that fails is not charged. If you set "allow_fallback": true, a failed call can be retried on NVIDIA Nemotron 3 Nano Omni (Free) instead, never at a higher price than you were quoted.

Related models

Every model on BlockRun is reached through the same endpoint and the same payment flow, so switching is a one-line change to the model field. These are the closest alternatives to Llama 3.2 11B Vision (Free):

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, Solana or Arc. 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 Llama 3.2 11B Vision (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/llama-3.2-11b-vision", "messages": [{"role": "user", "content": "Hello!"}]}'