Qwen3-Next 80B Thinking (Free)
nvidia/qwen3-next-80b-a3b-thinking
Retired — NVIDIA EOL 2026-05-21. Auto-redirected to nvidia/nemotron-3-super-120b.
Code Examples
from blockrun_llm import LLMClient
client = LLMClient() # Uses BLOCKRUN_WALLET_KEY (never sent to server)
response = client.chat("nvidia/qwen3-next-80b-a3b-thinking", "Hello!")import { LLMClient } from '@blockrun/llm';
const client = new LLMClient(); // Uses BLOCKRUN_WALLET_KEY (never sent to server)
const response = await client.chat('nvidia/qwen3-next-80b-a3b-thinking', 'Hello!');curl -X POST https://blockrun.ai/api/v1/chat/completions \
-H "Content-Type: application/json" \
-H "PAYMENT-SIGNATURE: <payment_header>" \
-d '{
"model": "nvidia/qwen3-next-80b-a3b-thinking",
"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.
Demo Unavailable
Interactive demo is coming soon for this model
You can try our interactive demos for other models, or use this model via our API or SDK.
About NVIDIA Qwen3-Next 80B Thinking (Free)
Qwen3-Next 80B Thinking (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
Qwen3-Next 80B Thinking (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/qwen3-next-80b-a3b-thinking 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.