Llama 4 Maverick (Free)
nvidia/llama-4-maverick
Meta's Llama 4 Maverick MoE (17B x 128 experts) hosted free by NVIDIA
Code Examples
from blockrun_llm import LLMClient
client = LLMClient() # Uses BLOCKRUN_WALLET_KEY (never sent to server)
response = client.chat("nvidia/llama-4-maverick", "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-4-maverick', '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-4-maverick",
"messages": [{"role": "user", "content": "Hello!"}],
"max_tokens": 1024
}'Pricing
Free model — no payment or wallet required.
Payment
Pay per request with USDC on Base. No subscription required.
Try It
Send a message to try Llama 4 Maverick (Free)
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About NVIDIA Llama 4 Maverick (Free)
Llama 4 Maverick (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
Llama 4 Maverick (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/llama-4-maverick 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.