BlockRun
Free · Reasoning

Free Reasoning API.
No key. No subscription.

Qwen3-Next 80B (262K context, fast) and Nemotron-3 Super 120B — frontier-grade free reasoning. No key, no signup.

Try in 10 secondsSee all 6 waysWant Claude / GPT-5? Pay-per-call →
Quickstart · 10 seconds

Try it now.

No API key. No wallet. No signup. Paste this into any terminal — the response streams back from Reasoning hosted free on NVIDIA, routed through BlockRun.

curl
curl https://blockrun.ai/api/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nvidia/qwen3-next-80b-a3b-instruct",
    "messages": [{"role": "user", "content": "Solve: 7 friends share 23 cookies equally; how many are left over?"}]
  }'
See all 6 waysFull API reference →
Spotlight
Qwen3-Next 80B Instruct (Free)
nvidia/qwen3-next-80b-a3b-instruct
Context
262K
Price
free
Best for
reasoning · coding
Nemotron 3 Super 120B (Free)
nvidia/nemotron-3-super-120b
Context
131K
Price
free
Best for
reasoning · coding
Six ways to call it

6 ways to use Reasoning free.

BlockRun is the access layer. Pick the surface that matches how you build — terminal, notebook, IDE, agent runtime — and the same free models work everywhere.

  1. 01

    Franklin Agent

    Free reasoning model + Franklin Agent = strong terminal reasoning agent, free

    Learn more →
    shell
    # Install Franklin Agent
curl -fsSL https://franklin.run/install | sh

# Run with this model
franklin chat --model nvidia/qwen3-next-80b-a3b-instruct "Summarize the README"
  2. 02

    Python SDK

    pip install blockrun-llm — or any OpenAI-compatible client

    Learn more →
    python
    # Works with the OpenAI SDK — no key required for free models
from openai import OpenAI

client = OpenAI(
    base_url="https://blockrun.ai/api/v1",
    api_key="not-needed-for-free-models",
)

response = client.chat.completions.create(
    model="nvidia/qwen3-next-80b-a3b-instruct",
    messages=[{"role": "user", "content": "Solve: 7 friends share 23 cookies equally; how many are left over?"}],
)
print(response.choices[0].message.content)
  3. 03

    cURL

    no key, no wallet, paste in any terminal

    Learn more →
    shell
    curl https://blockrun.ai/api/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nvidia/qwen3-next-80b-a3b-instruct",
    "messages": [{"role": "user", "content": "Solve: 7 friends share 23 cookies equally; how many are left over?"}]
  }'
  4. 04

    ClawRouter

    smart router for OpenClaw / Claude Code — auto-picks free models when possible

    Learn more →
    shell
    # Install once
npm install -g @blockrun/clawrouter

# Then point any OpenAI-compatible client at the local proxy.
# ClawRouter routes to nvidia/qwen3-next-80b-a3b-instruct (or the cheapest capable model)
# without changing your code.
  5. 05

    Claude Code MCP

    18 tools for Claude Code, Cursor & ChatGPT — call any free model from inside your editor

    Learn more →
    shell
    # Add the BlockRun MCP server (Claude Code, Cursor, or ChatGPT desktop)
claude mcp add blockrun -s user -- npx -y @blockrun/mcp@latest

# Then call from inside the editor:
#   blockrun_chat(model="nvidia/qwen3-next-80b-a3b-instruct", messages=[{role:"user", content:"…"}])
  6. 06

    TypeScript SDK

    npm install @blockrun/llm — or any OpenAI-compatible client

    Learn more →
    typescript
    // Works with the OpenAI SDK — no key required for free models
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://blockrun.ai/api/v1",
  apiKey: "not-needed-for-free-models",
});

const r = await client.chat.completions.create({
  model: "nvidia/qwen3-next-80b-a3b-instruct",
  messages: [{ role: "user", content: "Solve: 7 friends share 23 cookies equally; how many are left over?" }],
});
console.log(r.choices[0].message.content);
Trust / Defaults

We don't share
your data.

Your prompt goes to the AI provider you picked. Nothing else, nowhere else. No training, no retention beyond the request, no profile linking.

Read the privacy policyTerms →
We don't share your data
No training, no retention beyond the request. Your prompt is forwarded only to the AI provider you select.
No accounts, no KYC
Wallet in, prompt out. Pseudonymous by default — no email, no phone number, no identity documents.
Open-source SDKs, MIT
Read the code, audit the wire format, run it yourself. @blockrun/llm and blockrun-llm on npm and PyPI.
When free isn't enough

Want Claude, GPT-5,
or Gemini too?

No subscription. No monthly minimum. Pay per call in USDC via x402 — works the same endpoint, same SDK, same model IDs. Connect a wallet, top up $5, call any frontier model. No credit card.

See pay-per-call pricingGet started
FAQ

Everything you might
be wondering.

Which free reasoning model should I pick?
Default to Qwen3-Next 80B Instruct — fast (~1s), 262K context, strong general + coding reasoning. Nemotron-3 Super 120B is a thinking-mode MoE for harder multi-step reasoning. Both are free, no key.
Where's DeepSeek V4?
DeepSeek V4 Flash/Pro were retired from our free upstream (NVIDIA's on-demand tier stopped serving them). Calls to nvidia/deepseek-v4-* are auto-rerouted to a healthy free reasoning model so they still return 200. For dedicated DeepSeek, use the paid deepseek/* models with a wallet.
Is it really free?
Yes. Hosted free on NVIDIA's build.nvidia.com tier, passed straight through BlockRun. No signup, no wallet.
How much context can I use for free?
Up to the model's window (262K for Qwen3-Next), but request body is capped at 128 KB on the free tier. For multi-megabyte context dumps, switch to paid models with a wallet (5 MB cap).
What if NVIDIA's upstream is down?
BlockRun's free-model health gate auto-routes around any dead free model in real time, so your call still returns 200 from a healthy model.